Your S/4HANA transformation is live but is the business case fully realised? Many organisations find ERP modernisation delivers a clean, harmonised core, yet manual workarounds, repetitive tasks, and process frictions remain across Finance, Spend, SCM, HCM, and CX. This is the 'last mile' of process efficiency that S/4HANA alone cannot reach.
AI is the lever to close that gap and there are two paths to take. With an evolutionary approach you improve specific problems within existing processes with minimal disruption. A revolutionary approach replaces an entire process with an AI-powered alternative and can deliver much greater value.
Both paths protect your clean core, both extend transformation ROI – and both are delivered through our lean and agile post-transformation AI method.
by Florian Backfisch and Tobias Balogh
After go-live, the standardisation achieved through your S/4HANA transformation alone rarely removes all manual effort across the functional landscape. This can range from financial close or intercompany reconciliation to demand planning, production scheduling and service operations. Agentic AI helps you close these gaps without disrupting the clean core you've just built.
With our post-transformation AI method, we help you identify the right approach in each function and each process.
The evolutionary process design looks at the specific steps where problems arise – the manual hand-offs, exceptions and bottlenecks within an otherwise well-running process – and improves them in a targeted way with AI capabilities. The footprint is minimal, the risk is low, and the time-to-value is short.
The revolutionary process design goes further: You reimagine an entire process with a high share of AI-powered components. The change is bolder, but the potential value is far greater: you can achieve big gains in cost, speed and quality, not only incremental improvements.
In both cases, AI runs alongside S/4HANA, not inside it. Deployed on SAP Business AI Platform, AI agents use standard APIs and events while the ERP itself remains unchanged. There is no custom code in the core, no modified standard objects, no upgrade debt. Human-in-the-loop controls keep governance, compliance and auditability strong.
Our approach is hyperscaler-neutral and technology-agnostic, with a clear focus on SAP Business AI Platform as the strategic platform for post-S/4HANA. It is structured in five phases – Assess, Discover, Explore, Realise and Operate & Scale – in which we shape the way how processes are re-envisioned: evolutionary or revolutionary. You will find details for each phase in the tabs below.
A readiness assessment based on the TOGAF ® Business Transformation Readiness Assessment (BTRA) framework. We review your readiness across business, data, technology, governance and people, and deliver an AI readiness scorecard, high-level target architecture options and a clear go/no-go recommendation. This covers every part of your S/4HANA landscape.
Focused workshops to identify process challenges and envision AI opportunities. It can be run for any of the core processes across Finance, Spend, SCM, HCM or CX pinpointing pain points, matching them to proven AI capabilities and shortlisting candidates by effort versus business impact. The outcome is a prioritised AI use case backlog.
A detailed review of the prioritised AI use cases in dedicated design thinking workshops. We look closely at process pain points in detail and design target processes either evolutionary or revolutionary. As a result, we deliver AI-enhanced target process blueprints ready for Realise, with technical reference architecture, business case and solution roadmap.
You can typically deliver AI use cases within six months. By design this is a minimally invasive process enhancement that leverages – not replaces – your S/4HANA investment. We build and integrate AI components via SAP Business AI Platform, keeping the clean core intact. In our agile project approach we run iterative testing, manage change and provide hypercare support with flexible commercial models.
You own and run the AI platform, and we help you get the most long-term value from it. We support the continuous improvement of deployed AI use cases and help scale your AI investment across the enterprise, extending it from first pilots to other core processes across Finance, Spend, SCM, HCM and CX. The result is ana compounding AI portfolio that grows with your business.
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