The utilities industry is undergoing its most significant transformation in decades. The shift to renewables, smart metering, distributed energy resources, and expanding deregulation are reshaping the relationship between utility companies and their customers. Customer experience is no longer a back-office concern; it is a front-line, competitive differentiator.

The Advanced Success Plan version for SAP Customer Experience solutions is designed precisely for this moment. It offers utilities customers a structured, continuously guided approach to maximizing value from SAP Customer Experience (SAP CX) investments, from first adoption through to AI-enabled optimization.

A sector in motion: why customer experience has become strategic for utilities

Four converging forces are making customer experience a boardroom priority for utilities and increasing the demand for structured, expert-led adoption support.

• Energy transition and service complexity: Renewables, EV charging, solar feed-in tariffs, and demand response programs are adding new service dimensions. Customers expect their energy provider to manage this complexity seamlessly.
• Deregulation and customer switching: In liberalized energy markets, customers can, and do, switch providers. The cost of acquisition consistently exceeds the cost of retention. Superior service experience is a measurable retention lever.
• Smart metering and data volume: Smart meter rollouts generate billions of interval readings daily. This data can fuel proactive outreach and personalized billing, but only if the customer experience platform is correctly configured to act on it.
• Regulatory intensity: Billing accuracy mandates, complaint resolution timelines, and outage notification requirements are intensifying. The SAP CX portfolio can support compliance when features are correctly activated and configured.

SAP in utilities: a significant and growing market

Utilities are not a niche segment for SAP. Understanding the scale of the SAP utilities community frames why the Advanced Success Plan for SAP Customer Experience solutions matters for this industry in particular. SAP is trusted by hundreds of utilities customers globally and is among the leading technology providers in the sector by installed base, a position that continues to grow year-on-year. The investment in the relationship has been made. The question is whether customers are fully using what they have.

With the Advanced Success Plan, customers can turn the SAP Customer Experience portfolio into a driver of growth and innovation. They can gain the confidence to act decisively, supported by unlimited expert guidance and intelligent insights that help ensure every feature can deliver measurable business value.

The business case: customer retention over acquisition

For utilities operating in competitive markets, retaining customers has become as strategically important as acquiring new ones. Customers can switch suppliers in minutes via a digital platform, complaint escalation processes are visible on social media, and billing errors in a smart meter world are harder to excuse and faster to escalate.

The SAP CX portfolio can address these challenges across the full customer lifecycle. SAP Engagement Cloud enables targeted, segmented communications. SAP Service Cloud can centralize complaint management and agent interactions. SAP Sales Cloud helps manage accounts, contacts, leads, and opportunities. SAP Commerce Cloud is the digital sales and self-service storefront layer and can handle how customers discover, compare, purchase, and manage energy products online. What the Advanced Success Plan for SAP Customer Experience solutions does is help to ensure these capabilities are not just purchased but adopted, optimized, and continuously improved.

How the Advanced Success Plan structures the adoption journey

The Advanced Success Plan for SAP Customer Experience solutions helps organize the adoption journey across four distinct phases, each with a defined purpose and a set of targeted services:

1. Introducing innovation: Identify and prioritize the right innovations for your business. Services here include product guidance sessions covering areas such as utilities session and agent desktop, intelligent selling, campaigns and segmentation, and AI foundation and use case navigator.
2. Adopting innovation: Plan and prepare for structured adoption with minimal risk. Services include the AI process fit-gap analysis, key feature advisory, release guidance, success expert engagement, service planning, value management, innovation checkpoints, and adoption checkpoints.
3. Activation and optimization: Enable hands-on activation of AI and customer experience capabilities in your environment. Services include activation sessions across SAP Sales Cloud, SAP Service Cloud, SAP Marketing Cloud, and SAP Engagement Cloud; AI agent activation; embedded AI activation; Joule activation; and technical and functional assistance.
4. Success measurement and continuous improvement: Measure outcomes and sustain momentum through ongoing engagement. Services include a continuous engagement model, release guidance, success expert, value management, innovation checkpoints, and adoption checkpoints.

8 services available to utilities customers—and how each one helps

The Advanced Success Plan for SAP Customer Experience solutions comprises eight distinct services. Each has a defined scope, a specific business need it addresses, and measurable benefits. For utilities customers, each service connects to a characteristic operational or strategic challenge.

Product guidance
Structured sessions introduce utilities teams to the capabilities most relevant to their context, from meter-read-driven billing notifications in SAP Service Cloud to segmented communications in SAP Engagement Cloud. The goal is to accelerate time-to-awareness, so teams know what exists before they have to find it.

Key feature advisory
This is curated, customer-specific guidance on which features to activate and in what sequence. For utilities, this means filtering a broad SAP CX road map down to the capabilities that matter for smart metering, complaints management, and outage communications then discarding what does not apply.

Release guidance
Every SAP CX quarterly release brings dozens of updates. Release guidance helps ensure utilities teams receive a focused brief on what is relevant to their industry context, not a generic list of all product changes, so adoption decisions can be faster and better informed.

Solution review
This is a structured review of the current solution configuration against best practice. For utilities, this commonly surfaces configuration gaps in complaint workflows, billing notification templates, or service agent desktop layouts that erode the customer experience over time if left unaddressed.

Transformation advisory
Strategic guidance connects SAP CX capabilities to the outcomes utilities care about most: cost-to-serve reduction, complaint resolution improvement, and regulatory compliance. Transformation advisory helps move the conversation from features to business impact.

Activation
This is hands-on, expert-assisted activation of specific capabilities in the customer’s live environment. For utilities, this includes activating Joule for service agents and enabling AI-driven case categorization in SAP Service Cloud. Many autonomous agents or assistants announced at SAP Sapphire, once available, can be activated to help guide service agents to process cases.

Technical assistance
Direct technical support across all phases of the engagement covers integration architecture, performance guidance, load testing guidance for mass billing cycles, and resolution of complex system behavior. This service is especially critical for utilities given the high-volume, time-sensitive nature of meter-read processing and month-end billing runs.

Functional assistance
This comprises business process and functional configuration support throughout the engagement. Utilities-specific coverage includes complaint handling workflows, outage notification sequences, and the configuration of billing determinant displays in the service agent desktop, helping to ensure what is built serves the way utilities actually operate.

A practitioner’s perspective

Working directly with utilities customers shows first-hand how the Advanced Success Plan for SAP Customer Experience solutions can drive meaningful business value, especially for organizations without deep technical or functional SAP CX expertise in-house. Utility companies face a specific set of challenges: complex billing architectures, regulatory requirements, and high customer expectations for responsive service. The right services delivered at the right moment can be genuinely transformational. Four patterns stand out consistently:

1. Bridging the knowledge gap for business users: Unlike system integrators or technical consultants, many utility business teams may not fully grasp the functional nuances required to maximize their SAP investment. Value-driven customer success manager engagement becomes critical here by translating technical possibilities into business outcomes, advising on feature adoption, and ensuring cross-team alignment across operations, IT, and customer management. The customer success manager acts as connective tissue between what SAP CX can do and what the business needs to achieve.
2. Go-live checks are the foundation for seamless launches: Utilities cannot rely on generic go-live checklists. Are meter reads flowing end-to-end? Are billing determinants and rate structures properly mapped? Are customer service orders integrated with billing and meter management systems? Comprehensive go-live checks built for the utilities context eliminate the guesswork, giving teams confidence that key processes are functioning correctly from day one, not discovered to be broken three months into the first billing cycle.
3. Road map guidance enabling better design decisions: Each SAP CX release brings dozens of new features, but only subsets are relevant for a given customer in a given market. Regular, curated road map guidance helps utilities focus on the features and design decisions that will most efficiently drive their specific outcomes, whether that is improving customer satisfaction, streamlining operations, or enriching digital self-service. This targeted approach prevents costly missteps and empowers business stakeholders to make confident decisions without requiring deep product expertise of their own.
4. Early-phase support building for reliability and performance: The early project phase is often when performance issues and integration risks are best addressed, but it is also where internal teams feel least certain. Proactive support that includes performance reviews spanning interconnected billing and service systems, high-level architecture guidance, and utilities-specific load testing helps ensure reliable operation under real-world peak conditions. Utilities processing millions of daily meter reads, running mass billing cycles at month-end, and handling seasonal demand spikes need to know their system will hold before the peak arrives, not after it has passed.

What stronger SAP CX adoption looks like in practice

When utilities customers engage with the full Advanced Success Plan for SAP Customer experience solutions at the right moments, the outcomes can be concrete and measurable:

• Adoption confidence: Teams understand the SAP CX capabilities that matter for their industry and know how to use them. Adoption is driven by guided enablement, not trial and error.
• Configuration quality: Solution reviews and functional assistance can ensure complaint workflows, billing notifications, and service processes are correctly configured, reducing workarounds and support volume.
• Release relevance: Every quarterly SAP CX update is assessed for utilities relevance. Teams receive a focused brief on what to adopt, not a generic list of all product changes.
• AI activation at pace: Joule, embedded AI agents, and SAP Engagement Cloud intelligence features are activated with expert assistance, helping to move from available-in-catalogue to live-in-production for utilities use cases.
• Integration reliability: Standard integrations between SAP Service Cloud and SAP S/4HANA Utilities are correctly configured, giving agents real-time access to meter history, billing data, and service orders.
• Transformation clarity: Transformation advisory connects the SAP CX road map to the outcomes utilities care about most: cost-to-serve reduction, complaint resolution improvement, and regulatory compliance.

A service portfolio built for the complexity of utilities

The SAP investment in the utilities sector is substantial and well-established. Utilities organizations around the world have already deployed the SAP CX portfolio and are running their customer operations on it. The question is not whether they have access to world-class customer experience capabilities, but whether they are fully using what they have.

The eight services described above, combined with customer success manager-led perspectives on go-live quality, road map relevance, and performance assurance, represent a comprehensive framework for utilities organizations to realize the full potential of their SAP CX investment.

The Advanced Success Plan for SAP Customer Experience solutions is not a generic offering. When applied with industry focus and customer success manager expertise, it becomes a strategic asset, one that helps utilities deliver on the promise of a superior customer experience in an increasingly competitive, regulated, and technically complex market.

Rajeev Ranjan is product manager for the Advanced Success Plan for SAP Customer Experience.
Tara Tracey is global product owner for the Advanced Success Plan for SAP Customer Experience.

Keeping pace with rapid innovation, especially in the age of AI, can be daunting. For many organizations, the biggest hurdles are knowing where and how to start, what technologies to prioritize, what the investment will cost, and whether it will deliver real value. SAP Discovery Center helps address these questions.

SAP Discovery Center is a site where potential and existing SAP customers can explore SAP Business AI solutions, access pre-built applications and content, and discover use cases, services, reference architectures, and best practices—all free of charge.

The self-service portal offers opportunities to not only explore solutions but get a feel for how SAP technology could work in your organization. Cost and ROI estimator tools prompt users to input information unique to their organization—customizations, hyperscalers, and number of users, for example—and get tangible, personalized use cases to bring back to the business. Maturity assessments use details about an organization’s current platform strategy and architecture landscape to guide users on next steps to achieve the Autonomous Enterprise.

The site also includes missions that provide step-by-step guidance on how to materialize SAP solutions, including what solutions and services may be needed, what the architecture can look like, how other customers are deriving value, and more. For AI specifically, there are almost 400 features and agents available for customers to explore in the SAP Business AI Catalog.

At SAP Sapphire Orlando, two customers using SAP Discovery Center shared the value they’re getting from the site and how it’s guiding their approach to digital transformation.

Agilent

Agilent is a global leader in life sciences, diagnostics, and applied chemical markets, producing and supplying analytical laboratory instruments, software, consumables, and services. Looking to avoid manual analysis and late detection in tariff and compliance changes, Agilent turned to SAP Discovery Center. “We have one core principle: do not solve the problem that has already been solved,” Manthan Peshne, chief enterprise architect at Agilent Technologies, Inc., said. SAP Discovery Center allowed Agilent to stay true to this principle.

“We started exploring SAP Discovery Center and we found quite a few good building blocks, essentially in the form of missions,” Peshne said. “We also looked at some composable services which we could assemble together…It’s not a complete solution…but we found a completely unrelated industry and use case that we could use.” Using a mission set in the context of the oil and gas industry, the Agilent team was able to explore how an AI agent could interpret unstructured regulatory signals, extract the tariff context, determine its relevance, and convert that fragmented information into actionable alerts. Not only did Agilent find a solution to its problem, but the SAP Discovery Center mission accelerated design thinking and development for the project.

“We also ended up with an enterprise pattern by building this solution, which gives us a platform where I could replicate this to other scenarios where I have external inputs or signals that we need to capture and put in the context of Agilent data,” Peshne added.

Sutherland  

Sutherland is an AI-driven business transformation company that designs, runs, and automates enterprise operations at scale to help its clients achieve real, measurable business outcomes. A large part of this includes building and delivering production-grade agentic AI solutions on top of leading foundational models.

For Sutherland, SAP Discovery Center has kick-started many projects. “Instead of starting an MVP to see what the problem is and where to start, we have a ready-made solution from which we can pick up from,” Amar Busireddy, SAP enterprise architect at Sutherland Services, said. “It gives us a start somewhere around 20%-30% depending on the scenario.”

Having a starting point boosts confidence, Busireddy said, and enables Sutherland’s consultants to create solutions faster, which means faster time-to-value for its customers. Specifically, the missions available in SAP Discovery Center have helped: “We are using missions to kick-start educating our consultants and with implementing and helping our customers,” Busireddy said. Missions around Joule are plentiful, including how to integrate the AI solution with SAP SuccessFactors solutions, SAP Ariba solutions, and SAP S/4HANA.

“There are many reference architectures given for many problems, which might not be sufficient for us or might not fit our requirements 100%, but that definitely give us the direction on what to use and what not to use. From there, we can plan budget and time,” he said.

SAP Discovery Center: The starting point

The experiences of Agilent and Sutherland show that SAP Discovery Center is more than a resource hub—it is a catalyst for action. By offering practical guidance, reusable missions, reference architectures, and planning tools that help evaluate fit, cost, and value, the site enables organizations to accelerate innovation without starting from scratch. For organizations looking to turn AI ambition into actionable business outcomes, SAP Discovery Center is the place to begin.

Global supply chains are being reshaped by structural—not cyclical—forces, and traditional operating models are struggling to keep pace. Agentic AI, embedded across end-to-end workflows, is emerging as a critical enabler of a more autonomous supply chain operating model.

As discussed in a new whitepaper, Navigating the New Supply Chain Paradigm, this perspective is grounded in interviews with supply chain leaders across six industries: automotive electronics and software, agricultural equipment, chemicals, global technology, automotive supply, and home appliances.

Their experiences reveal where companies are investing, where adoption challenges remain, and where the next wave of value is likely to emerge.

Supply chains are entering an era of permanent disruption

Four structural forces are reshaping global supply chains simultaneously: geopolitical instability, economic pressure, demographic shifts, and accelerated digital transformation.

Since 2017, trade between geopolitically distant economies has slowed relative to trade among closer partners, signaling growing fragmentation in global commerce. Energy and input costs remain elevated, while labor shortages and digital skill gaps continue to constrain operations.

Europe alone could face 745,000 unfilled truck driver positions by 2028, and 63% of companies cite talent shortages as a primary transformation barrier.

Together, these pressures are pushing supply chains beyond the limits of the traditional “plan-source-make-deliver” model.

Companies are shifting from optimization to AI-enabled orchestration

Supply chains are increasingly viewed as strategic levers for resilience, service differentiation, and competitive advantage.

Across all six companies interviewed, each is investing in at least three forward-looking AI use cases in planning alone.

• A leading agricultural equipment company has deployed more than 1,000 AI agents to support orchestration, scenario planning, and value chain visibility. A global chemicals company is embedding AI across planning and scenario management while emphasizing explainability and trust.
• A home appliance company is applying AI selectively to improve forecasting, transport optimization, warehouse safety, and logistics costs.

The common theme: organizations are redesigning how the enterprise senses, decides, and acts.

Resilience is now defined by decision velocity

In today’s fragmented environment, resilience is no longer about static buffers. It is about how quickly companies can convert disruption signals into coordinated action across sourcing, production, planning, and logistics.

• An automotive electronics and software company centralized electronics ordering across roughly 30 plants and redesigned crisis-management processes, reducing disruption response times by approximately 95%.
• A global technology company adopted a regional “two-leg” supply chain model, using inventory strategically to respond faster to disruptions.

The emerging differentiator is not forecast accuracy alone, but the speed from disruption detection to execution. Visibility remains important, but visibility without coordinated action is no longer enough.

Trust and governance are the biggest barriers to scaling AI

Despite rapid interest, 90% of AI use cases remain stuck in pilot mode. The challenge is not model accuracy alone; it is trust, explainability, fragmented systems, and manual overrides.

• One global chemicals company found that scaling AI depended less on technical performance and more on whether users could understand and trust the outputs. This led to stronger human-in-the-loop governance and progressive autonomy thresholds.
• A major automotive electronics company requires transparent, traceable AI reasoning before planners rely on AI-generated recommendations.

The path to autonomy will be incremental: companies will first augment human decision-making, then automate routine and semi-structured decisions as governance, trust, and data maturity improve.

The next frontier is the Autonomous Enterprise

The Autonomous Enterprise is an operating model where AI workflows, contextual business data, and embedded governance work together to anticipate disruption, coordinate action, and continuously improve performance.

The shift is moving from isolated copilots to coordinated agent-to-agent workflows spanning the supply chain.

In autonomous production environments, supplier reliability agents can monitor vendor risk while workforce orchestration agents align labor capacity with demand. Procurement agents execute sourcing decisions, and production planning agents dynamically rebalance schedules in response to changing conditions.

A similar pattern is emerging in asset management, where alert-processing, maintenance, warehouse replenishment, and goods-movement agents collaborate to resolve operational issues with minimal human intervention.

The business impact is significant. Agentic AI has improved procurement workflow efficiency by 20 to 30%, reduced scrap by 55%, lowered nonperfect batches by 80%, and helped reduce inventory by 20 to 30% while cutting logistics costs by five to 20%.

Collectively, these improvements mark the transition from reactive supply chains to systems that can increasingly anticipate, decide, and execute autonomously.

Building the autonomous supply chain

Capturing this opportunity requires three capabilities that remain fragmented in many organizations today:

• Organizational intelligence: The ability to detect patterns, anticipate risks, and reason across constraints
• Contextual data: Trusted operational data, business rules, workflows, and policies that ground AI decisions in enterprise reality
• Embedded execution: Integrating intelligence directly into workflows so actions can move from recommendation to execution without manual intervention

This creates a virtuous cycle: better data improves decisions, better decisions improve processes, and improved processes generate richer operational data over time.

Importantly, companies do not need to rebuild the enterprise from scratch. Deterministic systems of record remain essential for control, compliance, and auditability. The real transformation lies in rewiring how decisions are made and governed.

Organizations moving fastest are focusing first on high-value, high-frequency decisions such as forecasting, inventory optimization, disruption sensing, transport planning, procurement workflows, maintenance, and customer-service resolution.

The bottom line

The future of supply chain management will not be defined by more digital tools alone. It will be defined by the ability to operate the supply chain as a connected, adaptive, and increasingly autonomous system.

For leaders who move first, supply chain will evolve from a cost-management function into a competitive differentiator, enabling faster time to market, stronger service levels, and greater resilience. The organizations that lead will not be those running the most AI pilots. They will be the ones using AI to redesign how the enterprise senses, decides, and acts across the end-to-end supply chain.

For more information about Autonomous Supply Chain Management, download the white paper, Navigating the New Supply Chain Paradigm.

Hagen Heubach is chief marketing officer for Supply Chain Management at SAP.