Is your agent answering from the right knowledge?

A trusted knowledge layer for company AI agents. It doesn't replace your CMS or KMS, and it doesn't write the answer.

The problem

AI agents can retrieve information without knowing whether it's the information they should use.

Ordinary retrieval finds the most similar document. It can't tell whether that document is still valid, whether a better source disagrees, or whether this audience may see it. So an agent can sound confident and still be wrong — and nobody can explain why.

An example

A customer asks their energy provider's agent:

"I have a fixed energy contract. Can I switch to a dynamic one?"

What Alinea returns to the agent

✓
A fixed contract may switch early, for an exit fee Source: Contract terms 2026, art. 4.2 · Reason: the version in force today, applies to fixed contracts
✓
This customer's contract: fixed, until 1 March Source: your customer system · Reason: identity verified by your system
✕
Switching rules 2025 Left out: expired last month
✕
Internal switch procedure Left out: for employees, not for customers

The agent answers, in its own words:

"Yes. Your fixed contract runs until 1 March, but our current terms let you switch early for an exit fee. Shall I work out what that would be?"

Illustrative example.

Prepared before the conversation. Decided by your rules, not by an AI model.

Where Alinea fits

A trusted knowledge layer between your company's knowledge and your agents.

Built from what you already approved. Your CMS and KMS content becomes a versioned knowledge set, with owners, validity, permissions and sources.
Decides, and shows why. It checks validity, authority, conflicts and audience, deterministically, and returns sources and reasons.
Says when it can't. If a question can't be resolved safely, it says so instead of guessing.
Your agent still answers. It writes the reply in its own words and calls any other tools it needs.

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