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What's new in Kumiko AI

Enterprise

This page tracks the user-visible Enterprise AI surface. It is intentionally organized around workflows rather than model release names, so the architecture remains useful as providers change.

  • In-app assistant: search and read live records, ask clarifying questions, propose writes, review them in the normal form, and enforce tenant caps and approval rules.
  • Feature builder: generate a feature, suggest focused patches, review the source, validate it, and publish a versioned pattern.
  • Document AI: extract schema-shaped data from text or PDFs, classify messages, and chain steps through a policy-controlled pipeline.
  • Prompt and policy operations: edit prompts, draft changes, activate them, run golden fixtures, inspect provenance, and roll back.
  • Provider choice: use Anthropic, OpenAI-compatible endpoints, local OpenAI-compatible servers, deterministic mocks, and transcription providers.

When a new AI workflow becomes available, update this page with the user problem it solves, its runnable example, and the relevant governance controls.