SELECCIÓN MCP connects AI agents to your SAP and non-SAP systems alike through two components — an orchestration layer, and an ABAP-native execution engine that installs directly inside SAP and is SAP-certified. Together they extend Joule's reach beyond S/4HANA, without replacing any SAP-native capability.
Joule and BAIP are built for S/4HANA. Many enterprises also run ECC not yet migrated, acquired-company ERPs, and non-SAP systems Joule was never built to reach.
Years of custom Z-transactions and non-remote-enabled function modules make it hard to know what's safe to retire on the way to S/4.
Customers delay their AI journey for years waiting on a multi-year S/4 program, instead of starting today with what they already run.
SELECCIÓN MCP connects AI agents to your SAP and non-SAP systems through two components: an orchestration layer that manages AI agent requests, and an ABAP-native execution engine that installs directly inside SAP and is SAP-certified. Together they extend Joule's natural-language interface to on-premise SAP ECC and S/4HANA systems, plus the non-SAP systems around them that Joule can't reach on its own. Neither component replaces Joule, BAIP, or any SAP-native capability — they're the bridge between them and the parts of your landscape still on-premise or outside SAP entirely.
SELECCIÓN MCP's execution layer touches every custom transaction, BAPI, and Z-program your business runs today — building a real usage map instead of a guess.
Usage data shows which customizations are core to the business and which can be retired before cutover — cutting migration scope with evidence, not guesswork.
Agents built on SELECCIÓN MCP keep working after cutover. Nothing built today gets thrown away when you go Clean Core.
This is true regardless of where you are on your SAP roadmap — today, mid-migration, or post-Clean Core.
SAP ECC, Oracle EBS, JDE, in-house systems and all installed-base systems were built before agentic AI existed. Every AI model needs a bridge to reach live transactional data.
Traditional API layers mean new integration projects, data exchange, security review cycles, and months before an AI agent can safely touch production.
Business users wait on IT tickets to get answers that already live inside the ERP they use every day.
SELECCIÓN MCP is the product. Everything else below is a service built around it, or a way it shows up for your team.
The consulting practice that surrounds the platform — foundation, strategy, governance, and hands-on delivery.
Real prompts, real SAP actions, real outcomes — proven across 11 SAP modules today.
Queries AP aging buckets by vendor and company code. Outcome: Collections act on real data — no weekly report wait.
Retrieves PO header, GR status, invoice status, open quantities. Outcome: Full purchase order lifecycle in one question.
Queries SAP HCM/SuccessFactors for open requisitions. Outcome: Hiring managers see gaps without calling HR.
AI-native by default — not a traditional staffing model.
AI agents handle repetitive execution — provisioning, patching, validation, testing — while our experts own architecture and judgment. One engagement, human + AI, applied to a defined scope.
The build bridge between a validated Spot AI Consulting use case and a live Digital Employee. One embedded engineer owns it end to end — validation, build, and deployment to production.
The minute AI enters a conversation with customers, they assume the Wild West. Here's why that's not the case.
From how this fits SAP's own AI roadmap, to how fast you can actually get connected.