For decades, the foundation of SAP implementations has been based on the "people, process and systems" triad, in which each implementation (or upgrade) typically involves extensive process analysis and process-led redesign. This formula made sense when the workforce was largely composed of human data processors. But with the rise of Agentic AI - where AI takes over most of these transactional roles - the standard framework starts to fray. 

With the rapid acceleration of ML and Agentic AI, we are no longer just automating tasks; we are also changing business flows. In these scenarios, AI can “think” and act but the main human input is on controls and exceptions. Agentic AI promises to change everything from processes to job roles to how both human users and AI agents interact with SAP and the wider corporate landscape. This shift thus demands a rethink of what we mean by SAP Business Transformation.

This shift is fundamental. The pace of change will only accelerate — and your ability to adapt and exploit this will become an critical strategic differentiator.

How to prepare for an AI-driven and agentic future

Here is how AI is disrupting the classic SAP "people, process and systems" formula and what you need to consider right now to ensure your transformation is future-ready.

1. People: From business processors to agentic users

The user base of your SAP system is about to change dramatically. We are moving from a workforce of data processors to a hybrid model where "agentic users" will become the majority of daily processors. In fact, we are already seeing this shift in terms of SAP’s broader AI strategy, as it moves from AI assistants to embedding agents into core business processes.

• The shift: Traditional business clerk and administrative roles are being heavily automated.
• The new user: Instead of a person entering data, an AI assistant (like SAP Joule or Microsoft’s Copilot) or a custom AI agent will handle invoice processing, material shortages and master data updates. It will be AI that will cover the majority of standard processing, operations and support.
• The workforce transformation: Human roles will shift towards AI orchestrators and facilitators who manage and oversee these digital agents, providing longer-term and higher-level direction and objectives. A challenge today is to start to capture the specialist’s knowledge and business-specific awareness and translate this into company-specific AI “Business Knowledge Systems” to support, guide and govern the AI solutions.

2. Processes: From rigid process flows to autonomous and flexible action

Core business processes will be completed in a highly automated, agentic manner. These processes will be far faster and in many cases, look very different from what we expect today.

• Intelligent automation: Processes will not just be faster; they will be dynamic. Agents will proactively identify bottlenecks, adjust inventory and resolve supplier discrepancies without waiting for human input or being reliant on available human resource capacities.
• Rethinking "best practice": The SAP Best Practices, while useful, will be further optimized by AI, creating highly customized, efficient workflows that adapt continuously to business or client/user requirements. Today, the focus needs to be on the components of the process, enabling future orchestration of processes to be flexible and able to react to human or agentic needs in how they are combined or used.

3. Systems: From customization to evolution

The ability to change and refine solutions for efficiency, differentiation or innovation is becoming much cheaper and faster, shifting from a static set of configured processes to ones that are much more flexible.

• Automated development: AI will increasingly write, test and deploy code through to full applications, with human oversight, reducing the reliance on manual coding or rigid system configurations. AI needs to connect to data, tools and systems (via the emerging Model Context Protocol) to allow an interaction with the wider landscape for technical or business solution delivery. Automation and agentic solutions' ability to think and act on information (at scale) is fundamentally why AI will be a transformative influence on business.
• Evolving solutions: We are moving toward a style of development evolution where agentic solutions analyze, adopt and continuously improve their own processes. The user experience is not system-led but from whichever system or tool they require. In an AI world, the user interface will become more dynamic, focusing on oversight and control (rather than processing), with the ability to interact beyond just clicks and data entry.

Practical examples: The immediate impact on business transformations today

This is not science fiction; it is happening now. SAP customers are already facing critical questions during their SAP S/4HANA transitions:

• The people: There will be a fundamental shift in the workforce as agentic solutions expand. Workforce reductions and re-skilling are already occurring and are being factored into future business plans. Delivery work today needs to ask fundamental questions about how to enable this workforce reduction and build in higher automation, leveraging the intelligence and scale that AI can bring.
• The systems: When undertaking a technical SAP upgrade, many companies are asking: Why should we complete a complex "Greenfield" (new) implementation to fix current processes when the 'future' processes may be unknown? Many companies are still putting off the shift to SAP S/4HANA. The main goal is to rapidly establish a foundation that enables AI, develops new corporate AI services, knowledge and capabilities and realizes AI value. A Brownfield “technical only upgrade” or a very “clean core” Greenfield provides the fastest routes to the new technology, enabling the adoption and exploitation of AI.

• The process: Firms are opting to lift their systems into the cloud, identifying real value from process simplifications, standardization or automations. They are layering applications across those that are more standard and operational in nature (with standard and simplified processes) and then having other platforms as layers for differentiation and innovation.

  Into this, companies are adding automation, AI and agentic solutions, so that processes can be facilitated or re-imagined dynamically and flexibly over time. No single AI solution will probably dominate AI and companies will require flexibility to choose and change. Companies will use agent lakes for composable, interoperable AI architectures to manage multi-agent complexity.

The bottom line

Quite simply, if your SAP S/4HANA business transformation roadmap doesn't account for AI and agentic solutions, you are building for the past, not the future.

Companies that are building AI capabilities and services now — while also focusing on immediate automations and value realization in the core solutions and processes that underpin the mainstay of their business operations — will be in a better position to maintain future advantage. Start considering AI as a core component and influence on your SAP strategy, not just an add-on or something to be addressed after your journey to SAP S/4HANA.

For organizations seeking to accelerate innovation — whether through business transformation, enterprise architecture modernization or the adoption of generative and Agentic AI — HCLTech can support you. Please do contact us to see how we can help your company-specific journey.