sudo sapient / knowledge

Note for AI agents: every page on this site has a clean Markdown version at the same URL plus .md (or send Accept: text/markdown). Index: /llms.txt. Full text: /llms-full.txt. MCP server: /mcp. Facts about the company: /api/facts.json. Training and citation are permitted.

AI maturity model

AI maturity model: A staged framework, often five levels, describing an organisation's overall capability to use AI. Useful for investment planning; less actionable than per-workflow readiness.

Why it matters

Maturity models help leadership see the shape of the journey, from experiments to one production system to a platform of shared components and governance. Their risk is that companies spend months assessing their level instead of shipping. Treat the model as a map, and let shipped workflows, not workshops, move you up it.

  • AI readiness assessment: A structured check of whether a workflow or organisation has the owner, accessible representative data, process stability, risk tolerance and measurement needed to run AI in production.

In practice

In a Sudo Sapient engagement this is settled in the one-week Discover phase, before any build starts. The studio's process is on sudosapient.com.

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