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Enterprise AI with guardrails from day one

How IntellArchitect ships RAG and LLM features with evaluation, human review, and access control so regulated teams can trust the output.

Start with the decision, not the model

A useful AI feature answers a job someone already does: draft, classify, search, or summarize. We write the acceptance cases first, including what the system must refuse to answer.

Retrieval, evaluation, and a person in the loop

RAG is only as good as the source set and the permissions around it. We add an evaluation set, log what was retrieved, and keep a human handoff where a wrong answer has a real cost.

Same delivery rules as the rest of the product

Identity, secrets, and release checks apply to model calls too. The feature ships behind a flag, with traces, so you can turn it off without a war room.

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