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When clinics select an AI partner – especially for AI Voice Agents – the expectation is that the tool gets the job done. Without integration into your systems and workflows, that rarely happens. Clinics end up with an incomplete solution that never adds the expected value and fails at the exact use cases AI should be best at.
A few months ago a clinic executive pulled me aside at a conference. The executive knew some of the clinics we partnered with and said: “We tried an AI Voice Agent. It didn’t bring the results we hoped for. What did we do wrong?”
It’s a question I hear often. Executives know AI should be solving operational problems – but too often it falls short. And the answer almost always surprises them: the problem is rarely the model. The reasons are more operational than technical.
The first question most clinics skip is also the most important: what do I want the AI to do and what context does it need?