Agents handle thousands of conversations a day. The team reads a few dozen.

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Underneath, small things break. A policy gets updated and the old version is still indexed. An API changes shape. The agent starts giving one customer the wrong answer and the next customer the right one, on the same question. It hits a few hundred people a day, moves the headline number by half a point, and nobody notices because nobody can.

‍We built self-correcting agents to close that gap. Here is what they do.

They check before they speak. When the agent retrieves information, it pulls from multiple sources and validates in steps: does the source support the answer, do the sources agree, does it match what the agent said before. If sources contradict and it can't tell which is right, it holds back and logs the conflict rather than guessing.

They review the whole day, not a sample. Every night the agent goes back over every conversation with hindsight. Did the customer ring back? Escalate? Get a different answer elsewhere? It looks for repeated mistakes and traces them to the cause, which is almost always two sources that disagree.

They fix the cause without touching your content. A correction note goes on top of the source, marking it superseded or contradicted, with the date and reason. The agent also writes the correction into its own memory: what it got wrong, why, and what is right now.

They prove the fix before it sticks. A correction triggers deep testing. The agent replays the affected cases and fresh variations of them, checks the mistake is gone and no new contradiction has appeared. Only when answers are consistently right across every phase is the correction approved and kept. If the same problem resurfaces months later, the agent refines that existing correction rather than stacking a new one on top.

Your team approves every change. By default nothing goes live without sign-off. The change request carries the evidence and the test results. And all of it runs inside your environment. Nothing leaves.

Self-correcting agents are live for Alana clients on voice and chat today. Run it on a week of your own traffic and see what it finds.

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