Stop Taking AI Agents' 'Done' at Face Value: A Trap

Did an AI agent say 'Done' and everyone breathed a sigh of relief? Beware: this is often just a statement, not proof. It's like saying 'I sent the payment' without confirmation from the bank. Here, you'll get a simple no-code security set: proof of execution, verification from the source of truth, and automatic reconciliation, plus hard limits on cost and time.

Why 'Done' is a Trap

An AI agent is a program that performs tasks based on our instructions. The instruction is called a prompt (think of it as a text command). When the agent says 'Done', it only means it tried. This is not the same as proof that the change actually went into the system.

In practice, 'Done' can be empty: the internet disconnected, a partner's API (a way for different software to communicate) refused, the login expired, or the agent saved to a test database. The result? No contact in the CRM (Customer Relationship Management system), no order in the ERP (Enterprise Resource Planning system), and the team thinks everything is working.

Conclusion: treat the status 'Done' like a promise. You need confirmation, which is proof of execution.

Proof of Execution: ID, URL, or Screenshot — No 'Done' Without It

Proof of execution is a solid trace of an action. Simply put: an ID (a unique number for an entry in the system), a URL (the web address for a specific record), or a screenshot. An audit log is a list of such traces over time, showing who/what did it and the outcome.

How to do this without coding? In Zapier or Make (tools for connecting apps without programming), after each step of the agent, add a step 'Save Proof' to Google Sheets or Airtable (a simple spreadsheet-database). This way, you have a record of what happened, when, and where. A link to the record makes quick verification easier.

• Record ID: e.g., 45821 from CRM — a unique number.
• URL to the record: click it and see the result in the system.
• Screenshot: useful when there's no stable link.
• Extras: execution time, scenario name, estimated cost (e.g., number of steps).

Verification from the Source of Truth and Reconciling Differences

The source of truth is the one place you consider final for a specific type of data. For sales, this is usually the CRM. For operations, it might be the ERP. Sometimes, it's just a Google Sheets spreadsheet.

The rule: after each save, the agent must read the record again from the source of truth and compare key fields. If something is missing or values differ, the scenario marks the task as failed and creates a correction request or makes one safe attempt to fix it.

Reconciliation is comparing and aligning differences between two lists of data. Set it up to run automatically once a day: take the 'should have been' list from the audit log and compare it with the status in the CRM/ERP. Record differences as a task list or automatically fix simple cases.

• What to compare: email/ID, status/stage, amounts/dates.
• If a record is missing — mark it 'to retry' and notify a person.
• If 1-2 fields differ — try a safe update.
• Log everything in the same spreadsheet (audit log).

Hard Limits on Cost and Time + Quick Implementation Plan

A hard limit is a barrier that cannot be crossed. Set AI budget limits for tasks (e.g., maximum number of steps/calls or amount) and a time limit (after how many minutes we stop). This way, you won't pay for a loop that keeps running endlessly.

How to do this without coding? In Zapier/Make, add a step counter and a timer in the scenario: if they exceed the threshold — end the run with a status of 'incomplete', log the reason in the audit log, and assign the case to a person. Summarize costs and times in a spreadsheet to see what it really costs.

• Initial proposal: max 3 attempts, 2 minutes, 5 steps.
• Above the threshold — stop, mark as 'Partially Done', and create a verification request.
• Weekly report: top 10 most expensive tasks and most common errors.
• After a month, raise thresholds only where it pays off.

The biggest enemy of automation is silent errors. Demand proof of execution, verify from the source of truth, reconcile differences, and keep hard limits. This can be implemented in one day, without coding. Want to review your scenarios? Schedule a short consultation — we'll set up simple safeguards and keep your budget in check.