The world is changing — we shape the transformation.
From the big picture to a clear roadmap.
Where strategy meets the reality of operations.
Automation that works down to the detail.
SAP unveiled the Autonomous Enterprise at Sapphire 2026 with 200+ AI agents and €100M partner fund, but API policy changes sparked customer concerns about vendor lock-in despite early adopters reporting $2.4M average savings.
SAP's €1B+ dual acquisition of Dremio and Prior Labs targets the 89% of enterprise structured data inaccessible to LLMs, potentially creating a €50B market by 2030 through specialized tabular AI.
Enterprise AI success requires portfolio strategies with Claude for technical tasks (89% accuracy), Gemini for visuals (94%), delivering 60% performance gains and $2.4M average savings over single-model approaches.
Anthropic's Claude Managed Agents launches at $0.08/session-hour with SOC2 compliance native and sub-week deployment — cutting enterprise agent TCO by 60–80% versus self-build frameworks. The build vs. buy calculus has permanently shifted.
SAP's $1.7B+ acquisition of Reltio creates the first truly interoperable enterprise data platform, enabling AI-ready data unification across SAP and non-SAP systems while accelerating the $847B enterprise data management transformation.
Anthropic's Mythos model identified 2,847 zero-day vulnerabilities during trials, delivering 340% improvement over traditional security tools with 60% cost reduction and 18-month ROI.
AI agents handle defined tasks within business processes – such as data reconciliation, classification or case handling – and act semi-autonomously rather than just suggesting. Sascha Theismann deploys AI agents where they measurably reduce cycle time or processing cost, embedded in a clear AI strategy rather than as isolated pilots.
An effective AI strategy prioritises use cases by business value and feasibility, not by technology hype. Sascha Theismann anchors AI – especially in mid-sized companies – in existing processes and data, defines the target KPI up front and scales only use cases that prove themselves in operation, turning pilots into measurable value.
Process mining reconstructs real workflows from IT system log data and reveals bottlenecks, loops and deviations. Sascha Theismann uses process intelligence as the factual basis: only once the actual process is transparent can automation and AI be applied where they have the greatest leverage.
Automation pays off for stable, rule-based and frequently repeated tasks with clear data input. Sascha Theismann first examines the process itself – a poor process only runs faster, not better, once automated. Understand and simplify first, then automate with RPA or AI.
Value realization means a process or AI initiative delivers measurable business value – shorter cycle times, lower error rates or reduced cost per transaction – not just technical operation. Sascha Theismann makes that value trackable through KPIs from the start, so transformation is measured by outcomes, not by the tool deployed.
Sascha Theismann is an Associate Partner at Infosys Consulting and supports mid-sized companies with digital transformation, AI strategy and process intelligence – with a focus on measurable value. The easiest way to start a conversation on these topics is via the contact form on this site or through LinkedIn.
About digital transformation, AI strategy or your SAP roadmap.
