What is wrong data in AI agent writes?
Wrong data is when an AI agent writes to the right record and the write succeeds, but the values are off: a truncated ID, pieces instead of boxes, an amount in the tax field, two swapped dates. There is no error and no duplicate, so most tests pass. Only a field-by-field check of the saved record catches it.
Common shapes
- Truncated identifiers. An order ID cut short after a model update.
- Wrong units. A request for 40 boxes saved as 40 pieces.
- Swapped or misplaced fields. An amount written into the tax field. A delivery date entered as a ship date.
- Stale context. The cost center of the requester's previous team.
Why it slips through
The agent's reply often quotes the value it intended, not the one saved. Traces show a successful call. Evals that score the transcript see nothing wrong. The record looks right at a glance.
How to catch it
After each key task, read the saved record back and compare it field by field with the expected end state: supplier, quantity, unit, price, dates, account. Include the awkward cases in your test data, such as similar names, mixed units and limits, because that is where agents go wrong. See what a test environment for AI agents needs.
On the blog
- AI agent wrote wrong data to your CRM or ERP
- What a test environment for AI agents needs
- An LLM model update broke our AI agent
Related terms
Hallucinated success · Duplicate writes · AI agent regression testing · All terms
FAQ
Because the write succeeds. There is no error message, no duplicate and no false "done", so only a check of the saved values finds it.
Every field that matters to the next step: identifiers, quantities, units, prices, amounts, dates, accounts and the linked record.
Often a prompt or model change that alters how the agent formats or maps a value, even when nothing else changed.
Try it on your own agent
Describe a task in plain words. Agentiqa does it step by step and tells you if it worked. Every failure comes with step-by-step reproduction.
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Your agent writes into ERP, CRM or billing for customers? See Enterprise.