Fact Sheets
Inspect one architecture record in detail, then check how its data has changed.
EA supplies the enterprise context AI needs. SAP LeanIX connects and governs that context so people and AI agents can answer enterprise-specific questions with evidence.
Customers usually run separate, disconnected tools per domain. EA connects business capabilities, applications, technology, ownership, and initiatives so we can trace the impact behind our opening question.
Think of a tower. Every floor, or domain, must connect to build something taller. EA is the steel frame that links them, with a strategic layer guiding the ascent.
A connected EA repository brings data from sources such as ServiceNow, BMC, and custom databases into a shared model. Fact sheets provide a practical structure for architecture data and complement methods such as TOGAF and modeling languages such as ArchiMate.
12 default fact-sheet types connect three conceptual architecture layers, with Strategy & Transformation spanning them. The prescriptive starting point is configurable when the organization needs it.
Our answer is useful only when the underlying data is complete, owned, and current. Mandatory attributes support completeness, Quality Seal assigns approval responsibility, history records changes, and surveys help owners refresh the data.
Choose the view that fits the question: inspect a record, explain its relationships, browse an application catalog, or analyze the portfolio. These views give different audiences a way into the architecture data.
Inspect one architecture record in detail, then check how its data has changed.
Explain how architecture elements connect, and compare saved versions of the drawing.
Give users a catalog they can browse without starting from a diagram or a detailed architecture record.
Start from a dashboard organized for a role or use case, then open a report to examine a specific architecture question.
Generic AI does not know your capabilities, applications, dependencies, owners, or initiatives. SAP LeanIX supplies that governed enterprise context to its native AI capabilities and, through MCP, to an external AI harness.
Inventory Builder analyzes diagrams, images, and files, then proposes fact sheets and relations for an architect to review.
Use natural language to find architecture facts, relationships, and missing information.
MCP gives an external AI client access to the LeanIX tools allowed for the authenticated user or technical role.
LeanIX can combine native connectors, APIs, and spreadsheet exchange to bring source data into the architecture repository.
Use the native connector to exchange selected data with ServiceNow and connect operational records to the architecture model.
Use REST or GraphQL APIs when the source or use case needs a custom integration.
Use Excel import and export for migration, review, or controlled bulk updates.
Without architecture context, AI gives generic answers. With connected and governed EA data, it can help answer enterprise-specific questions and expose the evidence behind them.