CapAI Agent Hub
Enterprise teams need a governed way to configure, execute and observe AI agents around SAP work.
Private research prototype
View prototypeIndependent prototypes and architecture experiments at different validation stages.
Enterprise teams need a governed way to configure, execute and observe AI agents around SAP work.
Private research prototype
View prototypeAgent platforms need engineering governance across releases, diagnostics, regression, migration and performance.
Private research prototype
View prototypeWebsite releases can introduce hidden functional, visual, navigation, flow, typography, responsive, browser, accessibility, SEO, security and performance regressions.
Build nearly complete — validation in progress
View prototypeComplex migrations need traceable readiness, dependency and cutover controls.
Private research prototype
View prototypeFast product change increases regression risk across connected capabilities.
Private research prototype
View prototypeFailures across UI, APIs, runtime and integrations are difficult to isolate quickly.
Private research prototype
View prototypeRepresentative test data is difficult to plan without exposing sensitive production data.
Concept roadmap
View prototypeEnterprise systems need a governed adapter between evidence, models, policies and operational decisions.
Independent research architecture
View prototypeDistributed enterprise agents require identity, policy, interoperability and lifecycle governance.
Independent research architecture
View prototypeABAP Cloud delivery teams need a standards-led automation path that can move from an AI or coding agent through Eclipse ADT MCP tooling into SAP ADT execution while preserving audit evidence and clear proof boundaries.
Technical proof validated with target-system and provider constraints
View prototypeABAP Cloud deployment sometimes needs a dedicated control plane, local Eclipse bridge, bounded execution controls, receipts and recovery evidence rather than a direct tool invocation path alone.
Independent engineering prototype with bounded live execution evidence
View prototypeTeams need to prove whether an MCP-enabled tester detects seeded defects for the correct reasons rather than merely producing plausible reports or unsupported PASS outcomes.
Controlled-corpus validation completed; live-runtime coverage remains explicitly bounded
View prototype