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AI for coaches: When you hand a tool your coaching work, you deserve to know what happens to it. Here is what CoachFlow does with a session transcript, the discipline that keeps the feedback tied to evidence, and the rules that protect your IP and client confidentiality.

I got excited about AI before I thought about privacy. Here is the workflow I use now to transcribe, clean and analyse a coaching session safely, and the four checks any tool has to pass before I let it read a client's words.

Cleaning a coaching transcript sounds like a compliance project. In practice it is a short pass with Find and Replace. Here is what I take out, a two-minute routine, and why I do not hand the job to an AI tool.

The most private place for your session audio is the device in your hand. Here are the local-first transcription tools I would start with, the cloud options for when local is not practical, and the one distinction that decides how private the whole thing is.

Most AI meeting summaries are built for the boardroom, and they flatten what happened in a coaching session. Here is why I stopped sending summaries, and how I came to build a Client Summary written for the client, in coaching language.

A coach can leave a session sure it went well and still not be able to say why. A shared, behaviour-based standard answers that. Here is why I built CoachFlow on the ICF Core Competencies, and how it helps you whether or not you hold an ICF credential.