Turn SAP project inputs into delivery-ready artifacts.
ZyptAI captures meetings, documents, plans, and decisions into one project memory layer, then produces cited BRDs, test cases, Fiori mockups, CPM plans, and steering output inside your Azure tenant.
One source of truth. Multiple delivery surfaces.
A workshop becomes a transcript, then a BRD, a mockup, a test pack, a plan, and a status update. Every output stays cited back to the project memory layer that justified it.
Built for SAP delivery teams, not generic AI demos.
ZyptAI is being shaped around the practical work of implementations: cited outputs, enterprise review, and the artifacts delivery teams already owe the programme every week.
Built by SAP delivery practitioners
The product is being shaped by people who work inside implementation programmes and know how BRDs, plans, test packs, and steering output are actually produced.
Designed for enterprise review from day one
Azure-tenant deployment, cited outputs, identity alignment, and governance fit are part of the story before a security review ever starts.
Focused on real project artifacts
The platform is optimized for the outputs delivery teams already owe the programme: specs, mockups, test cases, CPM plans, and status packs.
More than product pages. One operating layer for the programme.
The real differentiator is not any single feature. It is that routines, integrations, traceability, and decision memory all operate on the same project context instead of living in separate admin tools.
Morning briefs, blocker sweeps, and cutover checks assembled automatically
The platform can compile the operational view teams usually create by hand: upcoming blockers, open risks, action items, readiness gaps, and phase-level status before the stand-up begins.
Built around the SAP implementation toolset
MCP connectors act as inputs to project memory, not decorative integrations. SAP Cloud ALM, Jira, Azure DevOps, ServiceNow, and adjacent systems can feed the same cited operating context.
Traceability and drift detection across the lifecycle
Requirements, specs, plans, RAID items, changes, and test evidence can be cross-checked so the project can answer what changed, what is uncovered, and why a decision was made.
Runs where your SAP project already lives.
ZyptAI is Azure-native from the first screen instead of treating security like a footnote after the demo. The delivery team keeps their data, identity model, and governance boundary intact.
Watch one SAP workshop turn into five project artifacts.
Share the basics and we'll show you how ZyptAI can turn workshops, documents, and decisions into delivery-ready SAP artifacts inside your Azure boundary.