Where we test what SAP + AI will look like next.
Labs is our R&D practice — the place where architecture ideas get tested against real BTP environments before they show up in a client engagement. No slideware, no fabricated benchmarks: just what we're actively exploring.
Six directions we're actively exploring.
Labs topics shift as the SAP and AI landscape moves — this is where we keep our own thinking honest.
Agent Orchestration
Patterns for coordinating multiple AI agents across SAP processes without losing auditability or control.
MCP Experiments
New MCP server patterns for SAP capabilities — from read-only reporting tools to governed write-back workflows.
Cloud-Native Extension Patterns
Kyma-based extension architectures we prototype ahead of client roadmaps, to de-risk the pattern before it ships.
Business AI Prototypes
Scoped proofs of concept around Joule, grounding and RAG — tested on sandbox BTP environments, not production data.
Knowledge Grounding Techniques
How to ground AI responses in SAP-specific business context, evaluated for accuracy before any client-facing use.
Future Concepts
Early exploration of where SAP's own AI roadmap is heading, and what it will mean for enterprise architecture next.
Small, scoped, honest about what's proven.
Every Labs initiative starts as a scoped technical question, gets tested in a sandbox environment, and only graduates into client-facing recommendations once we can defend it under real enterprise constraints — security, governance, and scale.
Curious what we're exploring right now?
Labs topics shift as the SAP and AI landscape moves. Get in touch if you want to compare notes on where things are heading.