How to give an AI agent a reliable source of truth

A source of truth is the authoritative record for a specific fact or decision. An AI agent needs an explicit rule for which source wins when records disagree. There may be several sources of truth across a business, but each fact should have a clear owner and location.

Avoid one giant universal document

Imagine a customer address appearing in the CRM, a proposal and an old email. The CRM may own the current delivery address while the signed agreement owns contractual terms. Treating the most recently retrieved text as authoritative can mix these responsibilities.

Create a fact-to-source map. Keep the map small enough that a process owner can inspect it, and make exceptions explicit rather than leaving the agent to infer them.

Use a source decision record

• Fact: the exact information needed for the workflow.
• Authority: the system or document that owns it.
• Freshness: how to determine whether the record is current.
• Conflict: what happens when another source disagrees.
• Escalation: who can resolve the disagreement.

For example, a proposed shipping change in a chat should not silently overwrite a verified address. The system can prepare the update and ask the authorized owner to confirm it.

Preserve source identity in outputs

When an agent produces a summary, retain links or record IDs for important statements. Without those references, a summary can become a new unofficial source that later agents mistake for original evidence.

Mark conclusions separately from quoted facts. The assistant may infer that a renewal needs attention, but the contract end date and the inference should remain distinguishable.

Test a deliberate contradiction

Put an outdated value in a secondary document and the correct value in the authoritative record. Ask the agent a question that depends on the distinction. A passing result selects the right source or flags the conflict according to policy. If it simply chooses the more confident wording, improve the retrieval and authority rules before expanding use.

Be Human editorial guidance. Examples are illustrative unless explicitly attributed. Sources provide background; implementation choices depend on your workflow.