SAP Strengthens the Foundation for the Autonomous Enterprise with SAP Cloud ERP Private 2025 FPS02

SAP Cloud ERP Private 2025 Feature Pack Stack 02 (FPS02) delivers new capabilities that help organizations move from AI experimentation toward intelligent, governed business execution faster.

The release combines AI agents that can work directly with core business processes and adds new regulatory compliance capabilities and industry-specific innovations across asset-intensive industries, retail, and energy sectors. Together, these enhancements help strengthen the foundation for organizations that need to scale AI responsibly.

Building the foundation for enterprise AI

Tune into the Rise into the Future webinar “AI That Works: From ERP Foundation to Autonomous Enterprise” on November 11

As organizations explore how AI can drive business outcomes, one challenge keeps surfacing: AI alone is not enough. To operate at enterprise scale, AI needs access to trusted data, process context, business rules, and governance.

This is why the conversation about AI increasingly becomes a conversation about ERP. AI agents require more than information. They need to understand what actions are permitted, which controls must be respected, and when decisions require human review. SAP Cloud ERP Private can provide this foundation through integrated business processes, harmonized data, and enterprise-grade governance. FPS02 helps extend these capabilities, bringing intelligence directly into the processes where business happens.

AI embedded within business processes

FPS02 introduces AI agents and AI-assisted capabilities across key business domains, helping organizations automate routine work while maintaining oversight and accountability.

In finance, agents and AI-assisted capabilities help support processes spanning planning and forecasting, period-close activities, working capital management, tax processes, and compliance operations. Rather than requiring employees to manually identify issues and coordinate follow-up activities, SAP Cloud ERP Private and analytical business insights can surface risks, recommend actions, and help manage exceptions.

In sales order-to-cash processes, agents enable sales teams to quickly identify fulfillment issues, receive resolutions, and create or update sales orders directly in their workflow, which helps minimize delays and improve customer satisfaction.

Joule and SAP Document AI help streamline quality management by uploading, extracting, and matching certificate data, flagging exceptions, and creating pre-filled defects from natural-language inputs and source documents to help accelerate review, accuracy, and inspection release.

By receiving key observations, recommendations, and a clear action plan directly within business processes, employees can focus on judgment and expertise rather than information gathering and exception management.

Compliance built into the core

FPS02 also delivers important regulatory capabilities directly within SAP Cloud ERP Private.

The release includes support for IFRS 18 indirect-method cash flow statement reporting, helping organizations prepare for evolving financial reporting requirements. Additional updates include support for Germany’s AUSWIB1M foreign-trade reporting requirements and Canada First Nations Tax determination with GST499-1 return generation. By incorporating these capabilities into standard business processes, organizations can address compliance obligations while maintaining consistent governance and operational efficiency.

Industry innovation across critical operations

FPS02 deepens industry-specific capabilities across asset-intensive operations, upstream oil and gas, defense and security, and retail.

For asset-intensive industries, enhancements further integrate permit-to-work processes into maintenance operations, helping ensure operational controls are embedded directly within workflows. Upstream oil and gas organizations can gain new capabilities that extend Joule into production and revenue accounting, while SAP Document AI helps interpret gas plant statements and propose accounting entries for review. Defense and security organizations can benefit from innovations supporting equipment allocation and ERP operations in limited-connectivity environments.

Retail organizations gain four new data products that help expose retail master data through SAP Business Data Cloud, working to create a stronger foundation for future AI-driven processes. FPS02 also introduces operational enhancements including support for partial order fulfillment scenarios, GS1 2D barcode enablement, and expanded product traceability through serial-number integration between point-of-sale and inventory processes.

Advancing the Autonomous Enterprise

The Autonomous Enterprise is not built through a single AI breakthrough or software release. It emerges through the combination of trusted business data, integrated processes, governance, and intelligent capabilities working together across the enterprise.

SAP Cloud ERP Private 2025 FPS02 helps advance that foundation in concrete terms: by embedding intelligence within business processes, strengthening compliance capabilities, and expanding industry-specific innovation.

To explore the full FPS02 release and its implications for your business, visit SAP Community.


Maura Hameroff is chief marketing officer for SAP Cloud ERP Private and RISE with SAP.

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Industry AI: Deep Industry Knowledge, Forward-Deployed Engineering, Measurable Value

Enterprise AI has reached an inflection point.

SAP Connect in 2026: Advancing the Autonomous Enterprise

But while there is enormous excitement about what AI can do, we are still measuring progress the wrong way. The number of models, pilots, or agents a company deploys tells us very little. What matters is whether AI transforms the core processes where business value is actually created.

Can it steer demand fulfillment to high-margin business when supply is disrupted? Can it help release a pharmaceutical batch without compromising quality and compliance? Can it resolve a critical maintenance issue before it turns into an outage?

This is where enterprise AI becomes real and where generic intelligence reaches its limits.

From pharmaceutical supply chains and manufacturing quality management to asset maintenance, trading, and retail, the hardest industry problems are deeply contextual. They are shaped by decades of interconnected processes, strict regulations, and operational constraints. Solving them demands more than a powerful model. It requires trusted business data, integrated processes, rock-solid governance, and a deep industry domain expertise–the very foundation upon which we are building SAP’s Industry AI. At the same time it demands a team which is obsessed with customer problem solving and world-class forward deployed engineers.

This convergence of industry depth and forward deployed engineering (FDE) is where the next wave of enterprise value will be unlocked.

Start with the value, not the technology

AI innovation too often turns into a search for problems to solve. We take the opposite approach: start with the customer’s desired business value and work backward.

Where is margin leaking? Why is there lost sales? What operational decisions take too long? What production deferment can be prevented?

The goal is no longer just incremental productivity for individual users. It is moving toward autonomous operations. Across industries, organizations need to compress the cycle between detecting an issue, simulating options and impact, deciding the right response, executing corrective actions, and learning from outcomes–in a compounding loop. What once took days can increasingly happen in minutes.

Through our forward-deployed engineering model, we co-develop tailored capabilities alongside customers. We solve high-stakes challenges that have no off-the-shelf answers, then turn those proven solutions into scalable software capabilities for entire industries. This is not innovation from a distance. It is built with the people who live these challenges every day.

Autonomous operations make this possible. Within clearly defined business guardrails, AI agents identify disruptions, model scenarios, evaluate trade-offs, orchestrate execution, and improve via feedback loops–with human experts firmly in the loop and on-the-loop to validate critical decisions and steer strategic direction.

Co-innovation as a catalyst for impact

The most valuable AI solutions are never built in isolation. They are forged inside live operating environments.

Takeda Pharmaceuticals, a global leader in research-based biopharmaceuticals, is applying this thinking to its future operating model.

According to Rebecca Kaufmann, senior vice president and head of Enterprise Platforms a Takeda Pharmaceuticals, “AI represents the key enabler for Takeda’s transformation for the future. We are combining the SAP industry and technology knowledge with our organizational real-life experience. The supply chain planning assistant will provide us with AI-detected root causes and AI-suggested remediation and also automated performance tracking resulting in a self-healing capability.”

That ambition–shifting from passive detection to systems that continuously learn, recommend, and self-heal—is taking hold across sectors.

Doehler, a global producer of natural ingredients for the food, beverage, life sciences, and nutrition industries, is already demonstrating what this looks like on the factory and logistics floor.

“Our people’s greatest value lies in deciding what to do next, and now they can focus entirely on that,” said Stephan Schissler, co-chief information officer at Doehler GmbH. “The Logistics Issue Resolution Agent detects the root cause, recommends the resolution, and turns a multi-hour firefight into a one-click decision. Our logistics team has recovered roughly a third of the time once lost to troubleshooting, and our processes are becoming self-resolving rather than exception-driven.”

These examples reinforce a decisive rule: AI delivers maximum return when it eliminates operational drag, freeing professionals to focus on judgment, strategy, and business outcomes.

AI that thinks like the industry

As AI moves from passive recommendation to intelligent execution, industry context becomes paramount.

The question is no longer whether an AI agent can take an action. The question is whether it understands which action is compliant, safe, and commercially viable within a specific environment and organizational guardrails.

  • In life sciences, autonomous manufacturing coordinates processes from design-to-release while strictly adhering to compliance-critical quality and compliance criteria.
  • In energy and natural resources, agents go beyond detecting maintenance alerts to dynamically schedule crews, stage spare parts, and rebalance operations.
  • In engineer-to-order manufacturing, systems orchestrate complex quotations, adapt production schedules, and accelerate new product introductions.

Deep industry context is what makes these outcomes trustworthy.

Building intelligence that compounds

SAP’s Industry AI portfolio is focused across seven core domains: Autonomous Asset Management, Autonomous Commodity Management, Autonomous Adaptive Production, Autonomous Regulated Manufacturing, Autonomous Revenue Growth Management, Autonomous Unified Commerce, and Autonomous Project Delivery.

While the use cases differ, the principle is the same: sustainable value comes from end-to-end value streams, not optimizing functional silos.

 “Business performance depends on how quickly a company can respond when conditions change,” said Andre Bechtold, president of SAP Industries & Experiences and chief revenue officer of Industry AI at SAP. “By applying SAP’s industry knowledge across connected processes, Industry AI helps customers act earlier, limit disruption, and keep operations on track.”

The measure that matters

Coming out of SAP Connect in 2026, one message from our customer discussions was unmistakable: the ambition across sectors is to move past fragmented experimentation and embed agentic intelligence directly into mission-critical workflows.

Our initial wave of early adopter customers has proven the compounding power of this model: Customer friction points sharpen our agentic solutions, stronger agentic solutions strengthen standard, and stronger standards accelerate the time to value the next customer can achieve.

The future of enterprise AI will not be decided by who launches the most agents. It will be decided by who can bring intelligence into the decisions and workflows where business value is created every day.

When AI understands the industry, operates within trusted boundaries, and learns alongside human experts, autonomy stops being an abstract vision. It becomes a better way to run the business.

For a complete overview of the Industry AI innovations and product announcements unveiled at SAP Connect in 2026, see the SAP Connect Innovation News Guide and related SAP News coverage.


Dominik Metzger is president and global head of Industry AI at SAP.

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SAP Advances Finance Operations with Embedded Payments, New Consolidation Capabilities, and Expanded AI

New innovations in payments, enterprise performance management, and AI automation help finance teams move quickly from insight to execution while maintaining governance and control.

SAP Connect in 2026: Advancing the Autonomous Enterprise

Finance leaders today are expected to do far more than report results. They’re expected to shape business outcomes, guide decisions, and respond quickly to change. Yet many finance processes still operate in isolation rather than in concert. Invoice approval and payment execution happen in separate places.

Planning, consolidation, and reporting often rely on separate systems and workflows. And governance often misses critical information by operating in a silo. The result is delays between identifying an issue, making a decision, and taking action.

This year at SAP Connect, SAP announced new capabilities designed to help close those gaps. These include SAP Pay, a new payment service embedded in SAP Cloud ERP; SAP Enterprise Financial Consolidation, a new addition to SAP’s enterprise performance management portfolio; and an expanded set of Joule Assistants that bring AI-powered support to finance, governance, and compliance processes.

While each innovation addresses a different challenge, they share a common objective. Finance teams should spend less time moving information between systems and more time acting on insights.

Embedding payments into finance operations

One of the most persistent sources of friction in finance is the payment process itself.

An invoice may be approved in the ERP system, but completing the payment often still involves banking portals, payment files, middleware, and reconciliation activities. Each additional handoff introduces complexity and can slow execution.

SAP Pay is designed to simplify that process by embedding payment execution directly into SAP Cloud ERP. When an invoice is approved, payment and reconciliation can occur within the same workflow and the same business context.

The launch also marks SAP’s entry into payment services through Tereina, a wholly owned SAP subsidiary established earlier this year. As a regulated payment-service provider, Tereina enables SAP to deliver services natively within finance workflows rather than relying solely on third-party providers. This helps keep payment execution, reconciliation, controls, and auditability connected to the underlying business transaction.

The service supports EFT, wire transfers, checks, and stablecoin-based settlement for cross-border transactions. More broadly, SAP offers customers a wide range of payment options, spanning bank API integrations, connectivity to more than 10,000 financial institutions through SWIFT, digital-currency payments, and now natively embedded payment services.

For finance organizations, the opportunity is not simply faster payment execution. It is reducing the effort required to connect systems, manage exceptions, and reconcile information after the fact while keeping payment processing, reconciliation, controls, and auditability within a single workflow.

SAP Pay is now generally available in the United States and the United Kingdom.

Connecting performance management across the enterprise

The same challenge appears across enterprise performance management.

Planning, consolidation, close processes, and external reporting all rely on the same financial reality. Yet they are often managed through separate tools, data models, and processes. Maintaining a consistent view of performance can become increasingly difficult as organizations grow and business conditions change.

At SAP Connect, we announced SAP Enterprise Financial Consolidation to help address that challenge.

Built on SAP Business Data Cloud, the solution brings together statutory and management consolidation with close and disclosure capabilities on a common governed data foundation. By connecting these activities more closely, finance teams can spend less time reconciling information and more time understanding performance and responding to change.

The solution also includes new Joule Assistants for consolidation and disclosure processes. These assistants help identify anomalies, resolve exceptions, and support disclosure preparation while maintaining auditability and human oversight.

For organizations operating mixed environments–some SAP, some non-SAP environments–SAP Enterprise Financial Consolidation provides flexibility by supporting data from multiple sources. It also offers a path forward for customers looking to modernize existing consolidation environments and adopt a more AI-enabled approach to performance management.

SAP Early Adopter Care is planned for the first quarter of 2027.

Expanding AI across finance and governance

AI’s potential in finance extends beyond answering questions or generating summaries. The larger opportunity is helping teams complete work that has traditionally required significant manual effort, specialist knowledge, and cross-functional coordination.

At SAP Connect, SAP expanded its portfolio of Joule Assistants to address these opportunities.

The new assistants support areas including accounting, revenue recognition, pricing, disclosure management, project operations, governance, and trade compliance. Embedded directly into existing workflows, they are designed to help teams complete tasks more efficiently while preserving review processes and accountability.

Some focus on helping finance professionals understand complex calculations and reporting requirements. Others support pricing decisions, disclosure preparation, project execution, and continuous monitoring of risks and controls.

Just as important is governance.

As organizations deploy more AI agents across business functions, they need assurance that those agents operate within the same boundaries that govern human users. New governance, security, and compliance assistants are designed to extend existing controls, access management, and monitoring capabilities to AI-driven activities, helping organizations apply consistent oversight across both human and digital actors.

General availability for the Governance Assistant and International Trade Assistant is planned for Q4 2026.

From financial insight to immediate action

Finance has always played a central role in helping organizations understand performance. Increasingly, it is also expected to help organizations respond in real time.

That makes speed, visibility, and execution just as important as reporting accuracy.

The innovations SAP announced at SAP Connect reflect that shift. Whether simplifying payments, connecting performance management processes, or embedding AI directly into everyday finance work, each reduces the operational distance between identifying an issue and acting on it.

For finance teams, the ultimate goal is not simply faster processes or faster reports. It is making better decisions with greater confidence and executing those decisions with less friction.

Learn more about how SAP is helping organizations modernize finance operations across ERP, planning, treasury, payments, and accounting here.


Lawrence Martin is general manager and chief product officer for SAP Finance & Spend.
David Imbert is chief marketing officer for SAP Financial Management.

SAP Connect: Read the latest news, stories, and coverage from the event

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The Next Chapter in Spend Management: AI Innovations Across SAP Ariba, SAP Fieldglass, and SAP Concur

Last week at SAP Connect, SAP introduced new capabilities and partner innovations across SAP Ariba, SAP Fieldglass, and SAP Concur that help organizations turn spend insights into faster, better-informed decisions.

SAP Connect in 2026: Advancing the Autonomous Enterprise

Procurement leaders operate in a very different environment than they did just a few years ago. Beyond cost and compliance, they must now strengthen resilience, manage supplier risk, support workforce strategies, and help businesses respond faster to changing market conditions.

Yet, many of the systems supporting these responsibilities remain disconnected. Supplier intelligence lives in one place, workforce information in another, and spend data often requires significant preparation before it can drive decisions.

At SAP Connect, we announced a series of innovations across the SAP Ariba, SAP Fieldglass, and SAP Concur portfolios designed to help organizations address those challenges: new AI assistants for spend analysis and contingent workforce management, embedded supplier risk intelligence through a new partnership with Moody’s, a new solution extension with ORO Labs that orchestrates procurement across complex enterprise landscapes, and new SAP Concur capabilities that simplify high-volume administrative work.

Together, these innovations point to a broader shift toward Autonomous Spend Management, a domain within the SAP Autonomous Suite. AI connects information, insights, and execution, while people remain in control of the decisions that matter most.

Better spend decisions start with better visibility

Many procurement organizations still struggle to turn spend data into actionable insight quickly enough to support decision-making.

According to the 2026 Economist Enterprise report, Procurement at a Crossroads: From Optimism to Realism, sponsored by SAP, digital transformation is now the top strategic priority for procurement over the next 18 months, and improving spend analytics is one of its biggest drivers, cited by 53% of executives. These findings reflect growing pressure to improve decision-making and business impact.

Earlier this month, SAP announced the availability of SAP Ariba Spend Analysis and Insights, giving organizations a new way to bring together spend data across SAP Ariba, SAP Fieldglass, SAP Concur, SAP Cloud ERP, and other systems into a single foundation for analysis and action.

Building on that foundation, we announced the new Spend Analytics Assistant at SAP Connect. Planned for general availability in Q1 2027, it helps procurement teams identify opportunities for cost savings, compliance, supplier consolidation, and risk mitigation. Rather than searching through reports, teams see highlighted areas that merit attention, along with supporting context to help them prioritize and act, so they spend more time on decisions and less on data preparation.

Bringing supplier risk into everyday decisions

Supplier risk is now a strategic concern across every industry, yet risk data often remains disconnected from the sourcing and purchasing decisions where it matters most.

At SAP Connect, we also announced a new partnership with Moody’s that embeds supplier risk monitoring directly into SAP Ariba Supplier Lifecycle and Performance. By bringing financial health, operational risk, and regulatory status into the same environment where supplier performance and relationship data are managed, procurement teams can evaluate risk as part of everyday decision-making rather than periodic reviews.

The partnership also strengthens the foundation for AI-powered procurement. When risk information is embedded directly within procurement workflows, it becomes part of the business context used to help identify emerging issues and support earlier intervention. This gives teams a more complete view of supplier relationships and greater ability to respond before potential disruptions affect operations.

General availability is planned for Q4 2026.

Connecting procurement across complex enterprise landscapes

The disconnection that slows procurement decisions often extends beyond data; it also shows up across the systems themselves. For many organizations, procurement unfolds across a mix of SAP and third-party applications, each supporting different parts of the process. Coordinating work across that kind of landscape, without disrupting the systems teams already rely on, can be one of modern procurement’s more persistent challenges.

To solve this, SAP announced a new solution extension developed with ORO Labs: SAP Ariba Procurement Orchestration by ORO Labs. It provides a purpose-built orchestration layer that connects procurement experiences, workflows, and systems across complex environments spanning both SAP and third-party applications.

For employees, this means a more unified experience and a simpler way to initiate and navigate procurement work. Low-code/no-code workflows let teams adapt processes as business requirements and policies change, without disrupting underlying systems. Organizations can also apply agentic AI within these workflows while preserving the controls, approvals, and human oversight that enterprise operations depend on.

The solution extension works alongside Joule Work, with Joule Work serving as the primary engagement layer. General availability is planned for November 2026.

Making external workforce management more proactive

For many organizations, contingent workers have become an essential part of how they scale skills, execute projects, and adapt to changing business needs. Managing those workers, however, often requires coordination across procurement, HR, hiring managers, suppliers, and compliance teams.

We also announced the new Contingent Workforce Assistant, designed to bring greater visibility to that process. Planned for general availability in Q4 2026, the assistant helps organizations manage the contingent worker life cycle by surfacing issues such as onboarding delays, pending approvals, compliance requirements, and other exceptions before they affect assignments. By bringing relevant information into a single experience, teams can address issues earlier while maintaining governance and auditability.

This proactive approach addresses one of the persistent challenges in workforce management: identifying issues early enough to act before they become operational problems.

Simplifying travel and expense management through targeted automation

Not every productivity challenge in spend management requires a major transformation initiative.

In many organizations, the greatest source of friction in travel and expense management comes from routine administrative work, such as retrieving receipts, locating invoice images, preparing audit documentation, and reviewing user permissions. Individually small, these tasks collectively consume significant time across finance, audit, compliance, and expense management teams.

To address this, SAP Concur announced new additions to SAP Micro-App Hub. Building on capabilities already used to support tax, audit, compliance, and reporting, SAP plans to introduce new micro-apps that help organizations export employee expense information, simplify access-governance reviews, and retrieve vendor invoice documentation in bulk.

The approach is intentionally practical: rather than redesigning entire processes, the micro-apps target specific operational pain points. Customer adoption of the existing micro-apps points to strong demand for this focused automation.

Additional micro-apps are planned for general availability in Q4 2026.

Turning spend intelligence into action

Most organizations have plenty of spend data. The persistent challenge is turning that information into timely decisions and meaningful business outcomes.

The innovations announced this year at SAP Connect address that challenge from multiple angles, improving visibility into spend, bringing risk intelligence closer to procurement decisions, connecting procurement processes across complex enterprise landscapes, improving external workforce management, and reducing administrative effort across travel and expense.

Better decisions require better visibility, stronger context, and fewer barriers between identifying an issue and responding to it. This is the goal of Autonomous Spend Management: applying agentic AI across every spend process so disconnected workflows operate as one intelligent, governed system.

This matters more as procurement takes on a larger role in driving resilience, growth, and business performance. For organizations that can identify opportunities faster, respond to risk earlier, and spend less time on manual coordination, spend becomes a source of advantage rather than a cost to control.


Baber Farooq is chief marketing officer for Spend Management at SAP.

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SAP SuccessFactors 2H 2026 Release: Delivering the Future of Human Capital Management

As workforce challenges continue to outpace traditional HR processes, the organizations that lead won’t be the ones with the most AI. They’ll be the ones that understand their people, their skills, and how work really gets done—and know where AI can move them beyond incremental improvement into lasting transformation.

Turn HR into a strategic growth engine with AI 

With the SAP SuccessFactors 2H 2026 release and throughout the remainder of the year, we’re taking the next step toward Autonomous HCM, bringing together agentic AI, trusted workforce data, and HR applications to help deliver the outcomes that matter most to organizations. At its core are three pillars: automate the HR function to release capacity from administrative work, redesign how tasks, workflows, roles, and teams are structured across people and AI, and reinvent how organizations recruit, develop, move, and reward their people.

This vision comes to life through Joule Assistants working together across SAP applications to help carry out end-to-end HR processes and help people make better decisions, faster, all within a single workspace: Joule Work. This is what it looks like when AI works across an organization’s data, applications, and processes: not more AI for the sake of AI, but AI that delivers impact you can measure.

Building on the SAP investments organizations have already made, the innovations we’re delivering throughout the second half of 2026 help automate, redesign, and reinvent work to realize the full promise of Autonomous HCM.

These innovations span the full employee lifecycle:

Plan & hire

Finding, hiring, and onboarding the right talent gets easier and faster, with every step aligned to business needs.

  • As AI drives up application volumes, recruiters risk spending more time clearing a queue than assessing if a hire works for the business. Winston Screen can address this with repeatable, configurable screening that helps narrow large applicant pools to a focused shortlist. Winston Match builds on that, with results now fully reportable in Report Builder, giving recruiters visibility into the reasoning behind AI-assisted decisions. Together, they help free up the time and attention to do what the business actually needs—apply their judgement to identify and engage the candidates most likely to succeed.
Screenshot showing how Winston Screen helps to shortlist candidates
Shortlisting candidates with Winston Screen
  • SmartRecruiters for SAP SuccessFactors helps put agentic capability directly inside the recruiter workflow so hiring never loses momentum, with Winston Companion monitoring pipelines and booking interviews through agentic scheduling, Winston Interview delivering a conversational AI-led screening experience, and the Interview Summary Agent automatically capturing and posting a structured summary to the candidate profile.
  • Helping new hires get up to speed and start contributing faster, the Onboarding Assistant equips HR teams to deliver personalized, timely onboarding at scale, with intelligent prioritization, simplified onboarding task creation, and automated custom form conversion.

Manage & pay

These innovations help organizations work more efficiently and stay compliant while giving employees fast, seamless support to reduce the routine inquiry burden on HR teams.

  • The Payroll Assistant helps build trust in payroll so employees can have confidence in every paycheck. Administrators can quickly identify anomalies, resolve issues, and stay ahead of compliance, while employees can get direct access to clear, confident answers about their pay without raising a support ticket.
Screenshot showing the payroll readiness check with the Payroll Assistant
Payroll readiness check with the Payroll Assistant
  • The HR Operations Assistant can reduce manual effort, prevent bottlenecks, and keep HR processes moving, proactively resolving workforce and payroll data issues, automating employee and job changes, and streamlining position management. It can also detect approval bottlenecks, nudge approvers, and recommend next steps.
  • The HR System Assistant can give HR administrators a smarter way to manage day-to-day system operations—from audit readiness and compliance tracking to time and benefits configurations—reducing routine maintenance and helping HR teams drive continuous improvement and innovation.

Develop & grow

These innovations connect skill-building, learning, and career development into a more intentional experience designed for continuous growth.

  • The Learning Assistant helps move organizations to proactive workforce readiness, connecting compliance monitoring, upskilling, and development in one experience. It can guide the right learning actions at the right time for employees, managers, and admins, from flagging compliance deadlines to identifying skill gaps and recommending targeted learning.
  • People perform at their best when they know their employer is invested in their development. The Career and Talent Development Assistant helps employees close skill gaps, build personalized development plans, and set meaningful goals. For leaders, conversational talent discovery through Joule helps surface internal candidates, successors, and experts with a clear explanation of what shaped each result, helping organizations match the right talent to opportunities and grow people from within.
Screenshot showing how the Career and Talent Development Assistant can help find internal candidates
Finding internal candidates with the Career and Talent Development Assistant

The next step toward Autonomous HCM

These are not standalone capabilities. Together, they are Autonomous HCM in action: AI working with trusted data and HR processes to remove friction, surface insight, and give people the space to focus on outcomes that matter. The organizations building that way today are the ones that will lead tomorrow.

Discover what’s new in the SAP SuccessFactors 2H 2026 release with the release brochure or overview video.


Rebecca Carr is president of HCM Products for SAP SuccessFactors and CEO for SmartRecruiters.

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How Joule Work and SAP Business AI Platform Are Powering the Next Generation of Business AI 

The stability and reliability of half the world’s electrical grid partly depend on equipment built and maintained by one company.

SAP Connect in 2026: Advancing the Autonomous Enterprise

Reinhausen has been innovating for over 100 years, and its spirit of invention continues as demand for its products grows at a stunning 20% a year.

The company also innovates with AI. They use it within their products to create customer value and to automate manual processes for employees. And they are adding more automation to help them meet growing demand amid skilled labor shortages. Reinhausen’s expertise in AI innovation is among the reasons the company joined SAP’s early adopter program for Joule Work.

“The Joule Work desktop early adopter program has delivered more momentum in just a few months than we saw in all the years before,” said Peter Wied, director of Complexity Management at Reinhausen. “What once required up to an hour of manual effort across our SAP S/4HANA environment is now accessible in seconds through natural language, fundamentally changing how our teams interact with business data.”

AI that answers complex business questions while running agent-driven workflows at scale

Soon, all SAP customers will enjoy the benefits of Joule Work when it rolls out later this month. We built it because the promise of AI goes far beyond text generation and fact-finding. It can help people make better decisions, informed by their data, and get answers to complex questions. SAP Business AI Platform ensures those answers are all grounded in the context of how a specific business runs.

These are advantages companies can only get from SAP because SAP Business AI Platform encodes decades of process and industry knowledge right into our applications, knowledge graph, and Joule Work. The platform also combines best-in-class third-party models with SAP’s own foundation models for ABAP code generation and predictions on structured data, alongside SAP’s proprietary domain models, which are pre-trained on SAP’s code, data models, and business processes.

This means every AI interaction can draw on the model best suited for the task—whether that’s generating clean code, predicting a business outcome, or answering a process question—with the accuracy and cost-efficiency that business-critical work demands. And through SAP Business Data Cloud, Joule Work accesses all the data it needs from a single unified source that breaks down silos and unifies data across SAP and non-SAP sources.

Now, SAP Reltio is generally available in SAP Business Data Cloud. It helps organizations eliminate fragmented records with a single trusted view of customers, suppliers, products, and employees across SAP and non-SAP systems.

But we know sharper decisions and reliable business answers are only part of the equation. Organizations need AI to take action and coordinate work across all their business processes. Earlier this year, Deloitte surveyed more than 500 leaders and found 74% said they would redesign or rebuild almost half of their business processes around AI agents.

Through the SAP Autonomous Suite, SAP provides a library of reliable, ready-to-use Joule Agents across every business function, so companies can hit the ground running. And Joule Work brings the most powerful business AI orchestration engine in the industry to run those agentic workflows at scale.

Build and connect anything

Joule Work and the SAP Business AI Platform provide an out-of-the-box competitive advantage for the AI era, but every company has its own unique advantages that should be strategically extended. This is why Joule Work’s Develop capability provides access to Joule Studio, soon to be generally available.

In Joule Studio, customers can customize and build Joule Agents with tools that embed process context and semantically rich data. They can also connect third-party systems with open standards because Joule Studio leverages over 11,800 pre-built business accelerators. Joule Studio is more than five times faster than do-it-yourself options, according to benchmarking done by Constellation Research.

With Joule Studio, anyone can describe what they want to build in natural language, while developers can use pro-code tools all in the same environment. New agents are deployed directly into Joule Work and inherit SAP security and governance.

Warehouse automation company KNAPP used Joule Studio to build an assistant that helps workers identify and solve problems without waiting for an expert. Issue resolution times have dropped by about 90%, while documentation and training times fell by about 80%.

In our industry, AI is not the future anymore; it is already happening. And that is exactly what our AI delivery pilot demonstrates every day. Our partnership with SAP makes complexity simple. When a problem appears on the warehouse floor, SAP Business AI Platform helps us solve it in seconds.

Florian Aufegger, Senior SAP EWM Solution Consultant, KNAPP AG

As organizations build and deploy more agents, governance also has to evolve from compliance checkpoints to an integral part of the entire agent life cycle. Trust remains the biggest barrier to AI adoption for 71% of technology buyers, according to BCG. This is why SAP AI Agent Hub, now generally available, helps organizations govern every agent, LLM, and MCP server across SAP and non-SAP environments. New capabilities, including SAP Signavio Agent Mining, measure the outcomes every agent delivers and identify opportunities to further optimize those outcomes.

Start scaling AI, and your business outcomes, today

BCG’s latest research found that the companies farthest ahead scaling AI deliver 2.4 times the revenue growth and 2.8 times the EBITDA growth of those falling behind.

Our customers, Reinhausen and KNAPP, show what that looks like up close: an hour of manual work reduced to seconds, and problems on the warehouse floor solved without waiting for an expert. Our goal is to make results like these repeatable for every SAP customer.

If you want to see more, the new SAP Connect virtual sessions are now live, and SAP TechEd starts October 27, in person and online. You can also request a demo of Joule Work and SAP Business AI Platform.


Brenda Bown is chief marketing officer for SAP Business AI Platform and Joule.

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SAP Expands Joule Assistants and Agents to Advance Autonomous Supply Chain Management

Supply chain teams never lack decisions to make. What they increasingly lack is time. 

SAP Connect in 2026: Advancing the Autonomous Enterprise

I’ve spent most of my career building supply chain technology to drive business outcomes at scale. Earlier in my career, nobody was talking about AI. But I was helping build what we’d now call an autonomous supply chain.

At scale, manual decision-making simply cannot keep pace with growing consumer expectations. That’s why the next phase of supply chain AI needs to move beyond analysis to help organizations turn insights into action across the processes and applications that move goods. 

Decision velocity: where supply chain speed is won or lost 

Even the most intelligent supply chains can struggle to turn a meaningful signal into a well-governed response. I think of that as decision velocity: how quickly an organization can recognize change and coordinate the right response based on relevant business context. 

In supply chain, decisions are inherently interconnected. Planning affects manufacturing, which depends on product and asset readiness, suppliers, logistics partners, and more. I hear this from our customers today: each decision could be rational; the sum of them was not. 

AI can automate individual tasks, but isolated intelligence only creates isolated value. 

Agents need to understand how a decision in one domain affects the next. That’s where supply chain applications become critical, providing the business context, connected processes, and controls that agents need to act. 

New Joule Agents extend AI across the supply chain 

This year at SAP Connect, we’re expanding the capabilities of six Joule Assistants introduced earlier at SAP Sapphire and adding specialized Joule Agents that can take on critical supply chain tasks. These capabilities will help organizations respond faster and automate more routine work while keeping people at the center of informed decision-making: 

  • The Product Design Assistant will be able to interpret product designs, recipes, and specifications and orchestrate compliant product changes, helping accelerate time to market. 
  • The Supply Chain Planning Assistant will help planners sense, simulate, and resolve exceptions in a single workspace, helping teams understand downstream impacts and address disruptions before they ripple across the enterprise. 
  • The Manufacturing Assistant will help teams respond to plant-floor disruptions as they happen, while new capabilities in the Logistics Assistant span warehousing, outbound optimization, fulfillment, and transportation dispatching, helping turn logistics insight into action.  
  • New agentic capabilities for the Asset Operations Assistant will help translate equipment and maintenance signals into action by supporting the initiation, screening, and simulation of maintenance requests. And the Business Network Assistant will improve collaboration with suppliers and logistics partners in areas such as sourcing, contracting, and exception handling. 

What connects these scenarios is the ability for agents to operate within the business context already governing the supply chain, so an insight in one area can inform the next and, when authorized, trigger coordinated action. General availability for these new capabilities is planned for Q4 2026. 

Customer results show autonomy taking hold 

Customers are already putting this shift into practice.  

Takeda Pharmaceuticals will use the Supply Chain Planning Assistant to help pinpoint likely causes behind planning issues and propose corrective steps, supporting adaptive planning processes over time.  

Rebecca Kaufmann, senior vice president and head of Enterprise Platforms at Takeda Pharmaceuticals, said, “We are combining the SAP industry and technology knowledge with our organizational real-life experience. The Supply Chain Planning Assistant will provide us with AI-detected root causes and AI-suggested remediation and also automated performance tracking resulting in a self-healing capability.”  

Doehler, a global producer of natural ingredients for the food, beverage, life sciences, and nutrition industries, is applying AI to logistics issue resolution.  

Stephan Schissler, CIO at Doehler GmbH, says, “Our people’s greatest value lies in deciding what to do next—and now they can focus entirely on that. The Logistics Issue Resolution Agent detects the root cause, recommends the resolution, and turns a multi-hour firefight into a one-click decision. Our logistics team has recovered roughly a third of the time once lost to troubleshooting, and our processes are becoming self-resolving rather than exception-driven.” 

This is how autonomy delivers practical value: moving from manually managing exceptions toward more intelligent supply chain processes. 

Building autonomy on a foundation of trust 

As AI takes on a greater role in supply chain decisions, trust must be built into how it operates. Leaders need to understand what AI decided and why, define what it is authorized to complete, intervene when necessary, and know who is accountable. 

That is the direction behind everything we are introducing at SAP Connect in 2026. By grounding Joule Assistants and their agents in the processes and data of the SAP Supply Chain Management portfolio, we can help organizations move from insight to coordinated action while keeping people at the center of the decisions that matter most. 

For supply chain leaders, that is where autonomy becomes tangible: less time spent on routine work and resolving exceptions, faster responses when conditions change, and more time for the strategic decisions that strengthen resilience, efficiency and customer value. 

Ultimately, it comes down to decision velocity you can trust. 


Devesh Mishra is general manager and chief product officer for SAP Supply Chain Management.

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SAP Showcases the Autonomous Enterprise in Action

Just five months after promising customers that it would enable them to become AI-native autonomous enterprises, SAP has delivered: showcasing it with on-stage demos and live customers at SAP Connect in Las Vegas.

SAP Connect in 2026: Advancing the Autonomous Enterprise

“It’s time to show you the Autonomous Enterprise in action underpinned by great customer stories,” SAP CEO Christian Klein told his keynote audience at the start of the event.  

Klein reminded the audience that SAP introduced the Autonomous Enterprise at its SAP Sapphire conference in May 2026 as “the beginning of better.” Since then, he said, SAP has worked with hundreds of customers to implement Joule Work as the AI engagement layer for the Autonomous Enterprise. 

A new UI for AI 

“This month, we are rolling out Joule Work for all customers,” Klein said, describing it as a new UI for AI. He noted that for decades, users had to learn how SAP worked, but with Joule Work, SAP learns how people work. “From now on, the more than 400 million SAP users can talk in their own language to SAP, and Joule Work gets the job done.” 

SAP Accelerates Autonomous HCM

AI is reshaping jobs, skills, and ways of working at an unprecedented pace, pushing organizations to rethink not only their business models, but the workforce they need to support what’s next.

SAP Connect in 2026: Advancing the Autonomous Enterprise

According to research from the SAP SuccessFactors Future of Work Research Lab, 72% of executives believe organizations claiming to transform work with AI are primarily automating existing processes rather than fundamentally redesigning how work gets done. Yet, 88% say redesigning work and roles creates significant enterprise value. And HR is ranked as the No. 1 owner of that work. As a result, HR and business leaders are looking at how technology can support their need to continuously align people, skills, and work with evolving business priorities.

This is the journey to Autonomous HCM. Autonomous HCM is the future of human capital management, where AI automates end-to-end processes, drives context-aware decisions, and optimizes workforce operations at scale.

As we think about Autonomous HCM, we have defined three pillars:

  1. Automate the HR function to release capacity from administrative work: HR teams currently spend a significant share of their time on operational activities such as payroll, service delivery, recruiting administration, and workforce management. AI can reduce much of that burden, creating capacity for more strategic work. But automation is not the destination. It’s the foundation. The true value comes from what organizations do with the time and resources they regain.
  2. Redesign how tasks, workflows, roles, and teams are structured throughout the enterprise, across both people and AI: For decades, companies optimized around jobs, functions, and fixed processes. AI challenges many of those assumptions. The opportunity is no longer simply to make existing work more efficient. It is to rethink work itself. This is not just a technology initiative. It is one of the most important business transformation challenges organizations face today.
  3. Reinvent how organizations recruit, develop, move, and reward their people: Most talent processes were built for a world characterized by stable jobs and predictable career paths, but that world is rapidly changing. Organizations that succeed will create talent ecosystems that can adapt as quickly as the business itself.

These three pillars are all interconnected: automation releases capacity, work redesign determines how value is created, and talent-system reinvention makes the new model sustainable.

What makes this possible is SAP’s unique ability to bring together trusted workforce data, connected business processes, ontology, and AI within a single business context. Together, this context enables organizations to move beyond isolated HR activities and make strategic workforce decisions that drive the most urgent business outcomes. This context is what matters.

During SAP Connect, SAP announced that it has entered into an agreement for SAP to acquire TechWolf. TechWolf provides a leading AI work intelligence platform, which helps organizations understand the work their people do and the skills they have, giving them the right context and the right grounding. Once the transaction closes, TechWolf is expected to power workforce and talent strategies across the SAP SuccessFactors portfolio, bringing skills mapping, workforce planning, and organizational redesign informed by context from across the Autonomous Enterprise to guide decisions about development, deployment, and workforce transformation.

New Innovations to SAP SuccessFactors HCM Suite

While Autonomous HCM is our vision for the future, we have several new innovations spanning the entire SAP SuccessFactors HCM suite, available this month, including:

A growing portfolio of AI assistants

New AI assistants orchestrate work end-to-end and support decisions in real time. Many of the agents that we announced at SAP Sapphire are available this month, including assistants for payroll, HR service, learning, recruiting, onboarding, and career and development. We have more agents coming soon, including the new Workforce Planning Assistant to support customers using SAP Enterprise Planning. It is powered by connected workforce, contingent labor, and financial data from SAP SuccessFactors, SAP Fieldglass, and SAP Cloud ERP, to help business and HR leaders forecast workforce needs and create plans for the most effective mix of hiring, reskilling, redeployment, and external talent to address changing workforce demands.

Significant updates to our global benefits solutions

Benefits are among the most important decisions employees make, and they can also be some of the most complex for HR teams to support. To help make benefits administration more efficient for HR and benefits decisions more personalized for employees, SAP announced two new innovations built natively into SAP SuccessFactors Employee Central. The new agentic admin console for U.S. benefits provides HR administrators with a centralized view of benefits enrollment activity and exceptions, helping them quickly identify and resolve issues with built-in monitoring and natural language support. By reducing time investigating enrollment issues and navigating reports, organizations can improve oversight and manage complex enrollment periods more efficiently. Additionally, the new benefits decision support tool uses employee data already in the system to recommend coverage aligned to individual needs and budgets, resulting in a more personalized and intelligent enrollment experience for employees. 

New integration of WalkMe Learning Arc with SAP SuccessFactors Learning

Creating and deploying learning content can often take weeks, making it difficult for organizations to respond quickly to changing business needs. With this new integration, learning teams can describe learning requirements in natural language, and AI generates courses and quizzes while maintaining author control. Learning experiences can then be created and deployed directly within SAP SuccessFactors Learning in hours rather than weeks.

Shaping Autonomous HCM with our customers

As we look forward, we know that what has worked in the past will not take us to the future. The goal is not simply to showcase technology, but to prove how connected AI can help organizations translate strategic decisions into measurable workforce and business results faster and more effectively. Rather than organizing our innovation around individual products or modules, we are focusing our innovation around the most important outcomes our customers are trying to achieve—and in doing so, leaning into SAP’s strength in connecting data, workflows, and processes across the entire SAP portfolio. We will co-innovate with select customers to define, validate, and measure outcome-driven approaches that connect workforce decisions directly to business value, proving the value of our innovations in real time.

The journey starts now

We are at a defining moment for HR leaders. The future of work will not be shaped solely by technology. It will be shaped by the leaders who can translate transformation into meaningful outcomes for their organizations and their people.

Autonomous HCM is the future of HCM. But it does not start tomorrow. The journey starts today.

To learn more about the latest SAP SuccessFactors innovations and how SAP is helping organizations advance their journey toward Autonomous HCM, watch the Success Connect keynote replay.


Siva Sundaresan is general manager and chief product officer for SAP SuccessFactors.

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AI Can Act. Can Your Business Follow Through?

At SAP Connect, we announced new and enhanced Joule Assistants for SAP Customer Experience, expanded SAP Order Management Services for complex B2B environments, and the general availability of SAP Commerce Cloud, cloud ERP edition.

SAP Connect in 2026: Advancing the Autonomous Enterprise

These announcements build on the Autonomous Customer Experience strategy we introduced at SAP Sapphire. That premise is straightforward: AI must understand customer intent, make context-aware decisions, and execute within business guardrails. Following through on a customer commitment requires AI grounded in real-time, enterprise-wide business data, with a deep understanding of the processes needed to orchestrate work from intent to outcome.

A quote needs accurate pricing and terms. An order depends on inventory, credit, payment, and fulfillment. A service interaction requires information about the customer, the product, and the commitments the company has already made.

Customers generally do not see this operational complexity. They experience whether the company followed through.

Joule Assistants move from providing answers to driving business outcomes

Many AI tools can reason about what should happen next and recommend actions. But executing complex enterprise processes requires more than that.

AI needs to understand the live state of the business, including customer commitments, products, pricing, agreements, orders, payments, policies, and operational constraints. It must then navigate the approvals, exceptions, and cross-application steps required to act. Without that grounding, proposed actions may appear reasonable but can be inappropriate, infeasible, or break down in execution.

This is the direction behind the latest Joule Assistant innovations. New and enhanced Joule Assistants for SAP Customer Experience combine role-specific intelligence with business and process context across marketing, commerce, sales, service, finance, operations, and compensation, helping users move from understanding what should happen to getting the work done.

The innovations apply this approach to moments where fragmented context, manual steps, and handoffs can slow the customer experience.

  • Campaign Assistant and Content Assistant help teams move from campaign ideas to execution faster by reducing the effort required to plan, create, refine, and activate marketing campaigns.
  • Shopping Assistant makes product discovery easier and more relevant to what the customer is trying to accomplish.
  • Quoting Assistant brings customer, pricing, and commercial context together so sellers can prepare quotes faster and spend less time assembling information across systems.
  • Service Planning and Operations Assistant translates service demand into coordinated plans, reducing the manual work required to align people, resources, and customer commitments.
  • Incentive Compensation Assistant and Recurring Receivables Assistant bring the same intelligence to critical processes behind the customer experience, helping resolve questions, reduce administrative work, and keep compensation and payment workflows moving.

The goal is not to add another conversational interface. It is to move work forward by bringing together the business context, process knowledge, and controls required to act.

Human judgment remains important where decisions require approval, oversight, or exception handling. Within defined guardrails, AI can assemble context, determine and execute appropriate actions, and escalate when human intervention is needed.

Campaign Assistant brings campaign performance, business context, and recommended actions together to help marketers move from insight to execution.

SAP Order Management Services coordinates execution across ERP landscapes

Order management becomes more difficult when an order crosses ERP systems, legal entities, plants, distribution centers, and business units.

Each transition can introduce different information about pricing, inventory, credit, fulfillment status, or ownership of the next action. Consolidating every ERP system before improving order execution is not always a practical starting point.

SAP is expanding SAP Order Management Services to provide highly scalable, resilient, real-time omnichannel order orchestration across SAP S/4HANA and other ERP systems.

Built on a cloud-native, event-driven architecture, SAP Order Management Services coordinates order execution across channels, systems, business units, and third-party partners without requiring organizations to consolidate their ERP landscapes first.

The expanded capabilities provide a common layer for validating orders, checking inventory across locations, coordinating transactions between business units, and monitoring progress through fulfillment.

This gives organizations greater flexibility to add, remove, and experiment across channels, while enabling the order management layer to detect disruptions, trigger exception workflows, and keep execution aligned with the original customer commitment.

In complex enterprise landscapes, this combination of scale, flexibility, and reliable integration helps businesses deliver consistent omnichannel experiences while improving operational efficiency.

SAP Order Management Services helps teams monitor orders, identify disruptions, and manage exceptions across complex fulfillment environments.

Complete business context across the customer journey

Customer intent enters the business long before an order reaches a fulfillment system. It begins when a customer discovers a product, engages with a campaign, requests a quote, or starts a purchase journey.

To deliver on that intent, customer-facing interactions must remain connected to the pricing, inventory, ordering, fulfillment, and financial systems that support them.

SAP Commerce Cloud, cloud ERP edition, is now generally available. First introduced at SAP Sapphire, the edition allows midsize and growing companies to extend SAP Cloud ERP with commerce capabilities that use ERP data for pricing, availability, orders, invoices, and other transactional processes.

For more than a decade, SAP Commerce Cloud has supported some of the world’s largest and most complex digital commerce environments. With SAP Commerce Cloud, cloud ERP edition, we are extending that approach to companies that want a more standardized, SAP-managed path to ERP-connected commerce.

By using SAP Cloud ERP as the system of record, organizations can connect digital commerce with pricing, ordering, fulfillment, and financial processes without building and maintaining those connections independently. The result is a faster path to value, lower operational complexity, and an ERP-aligned commerce model designed to scale as the business grows.

SAP Commerce Cloud, cloud ERP edition, provides ERP-connected commerce with trusted pricing, availability, and ordering.

The same principle applies as customer interactions move across teams. A new native connection between SAP Engagement Cloud, enterprise edition, and SAP Sales Cloud synchronizes contact and company information while bringing relevant engagement signals directly into sales workflows. Instead of reconstructing customer context, sellers can continue conversations with a clearer understanding of prior engagement.

Customer experience depends on execution

AI can understand customer intent, make context-aware decisions, and act within defined guardrails. The harder question is whether the business can carry that action across the systems, teams, and processes responsible for delivery.

The innovations announced at SAP Connect address different parts of that challenge. Joule Assistants bring business and process context into the flow of work and help execute the next step. SAP Order Management Services orchestrates orders across complex ERP landscapes. SAP Commerce Cloud, cloud ERP edition, connects digital commerce directly with ERP pricing, availability, ordering, fulfillment, and financial processes.

Together, they advance a common principle: Autonomous Customer Experience depends on connecting customer-facing intelligence with the operational context and processes required to act.

Customers ultimately do not experience recommendations, models, or workflows. They experience whether the business followed through and delivered.

As AI begins to act on behalf of the business, the quality of that follow-through will depend on the business context, process knowledge, and operational reality behind every action.

Additional information on the SAP Connect announcements, including availability details and product-specific innovations, is available in the SAP Connect Innovation News Guide.


Balaji Balasubramanian is president and chief product officer of SAP CX.

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