Interaction Failure
(noun) /ˌɪntərˈækʃən ˈfeɪljər/ath
When an AI agent doesn’t know how to talk to the person in front of it.
It says too much. It says too little. It gets the moment wrong.
interact labs
Most AI failures aren’t technical. They happen in the interaction.
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A fitness coach turns aways subscribers.
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A health agent creates brand risk by offering advice it shouldn’t.
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A support bot turns off users by dismissing their frustrations.
64% of customers with a negative AI agent experience never return -- Gartner
75% of customers blame the company when an Agent fails -- Journal of Business Research
Most teams don’t see the problem until it’s too late.
Our Approach: The Interaction Reliability Evaluator (IRE)
Current evaluations focus on accuracy and safety. They don’t measure how an agent behaves with real users.
IRE evaluates interaction—how your agent communicates, adapts, and handles real-world situations. IRE produces a scored assessment across ten behavioral dimensions — delivered as a diagnostic report your product and engineering teams can act on.
What we deliver
A pre-deployment specification that defines how your agent should behave.
A diagnostic that pinpoints where interactions will break down with real users
A framework to evaluate performance and track improvement over time.
Our
Story
interact labs
Founded by Giri Krishna and Sudhir Venkatesh.
We’ve built, led and advised teams across tech and consumer firms– Meta, Twitter, Strava, Texas Instruments, and the NFL Players Association—combining machine learning and behavioral science to understand how systems perform with real people.