Process intelligence

An AI knowledge base for how work really happens

Most institutional knowledge lives in people's heads and scattered documents. Crismo turns it into structured process maps your team, and your AI agents, can query in plain language.

Answers, not documents

Ask a question, get a precise answer

A wiki gives you a page to read. An AI knowledge base gives you the answer. Because Crismo stores your processes as structured maps rather than prose, it can resolve conditional questions like 'who approves a contract over 50k?' and point you straight to the step that decides it.

  • Plain-language questions across your whole process library
  • Precise answers from explicit logic, not fuzzy text search
  • Every answer links back to the visual map to verify it

You ask

“Which processes handle personal data, and are they documented?”

“12 activities across 5 processes handle PII. 8 have data-classification notes; 4 are missing documentation, in Lead Capture, Checkout, Marketing, and Data Retention.”

Built for humans and AI

One source of truth, two audiences

The same structured process library serves your team through the Crismo app and your AI agents through the Model Context Protocol. Update the map once, and the knowledge updates everywhere, for people and machines alike.

  • AI-drafted process maps from meeting transcripts
  • Update the model once; every answer stays current
  • Permission-aware, tenant-isolated, audit-friendly

Query it from your AI assistant

Crismo ships an MCP server so Claude, Cursor, and Cline can read your process knowledge directly, no copy-pasting context.

Why it matters

Stop losing knowledge when people leave

Institutional knowledge walks out the door with every departure, and teams lose hours every week hunting for how things work. A structured, queryable process library keeps that knowledge in the company.

AI knowledge base FAQ

Turn your processes into queryable knowledge

Map how your business really works, then let your team and your AI agents ask it anything.