When two systems disagree, which one should your AI agent trust?

A company rarely has one system that owns every fact. Billing may own contract amounts, dispatch may own installation dates and the CRM may own the account relationship. Before connecting an AI agent across them, decide who is allowed to answer each business question.

Trace a disagreement to its owner

Suppose an equipment rental company stores return dates in both its sales CRM and its fleet system. Sales enters the expected return date when a rental is quoted. Fleet operations updates the actual return after inspection. Both records can be correct while describing different events. Giving the fields different names is more useful than asking the agent to pick the newest date.

Make a short ownership map. For each fact, record its business meaning, authoritative system, owner, expected update interval and what the agent may do when it is missing. An expected return date can support a reminder. An actual return date may trigger an inspection task. Reusing one for the other can send a reminder after the item has arrived.

Put disputed records somewhere people can resolve them

If both systems claim to own the same value, present the conflict with the source and timestamp of each entry. Route it to someone empowered to correct the record. Avoid silently updating both applications from whichever one replied first.

Try the map on several actual disagreements before writing integration rules. Include a delayed update and a missing source. If staff repeatedly choose a different source from the one listed, find out why. Sometimes a formally authoritative system is updated too late to support the decision. In that case, change the business process or qualify the agent’s output until the owner has confirmed the value.

Put this into practice

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