Where does a call recording actually go when AI analyzes it?

Draw the chain, hop by hop

Most security anxiety about AI is really uncertainty about geography. Nobody can say where the data is. The fix is boring and effective: write down every system the audio and text pass through, in order, and note who owns each one.

A typical call analysis pipeline has more hops than people expect.

• Capture. The phone system or call tracking platform records the call and stores the audio file.
• Fetch. An integration pulls the recording, usually over an authenticated API, and holds it briefly.
• Transcription. The audio goes to a speech-to-text model and comes back as text with timestamps and speakers.
• Analysis. The text — ideally redacted first — goes to a language model with a prompt and a rubric.
• Write-back. Structured results land in a database, and often back into your CRM as tags or notes.
• Reporting. A warehouse or dashboard reads the structured results.

Transit and rest are different problems

Data in transit is the easy part. Every hop above should be encrypted in flight, and that is table stakes rather than a feature. Data at rest is where the real exposure lives, because at-rest copies are what a retention policy has to expire and what an access review has to cover.

So the useful version of the question is narrower: at which hops does a copy persist, and for how long? Usually the phone platform, the transcript store and the reporting warehouse all keep copies with different lifetimes.

The hops people forget

Three routinely go unmapped. First, message queues — a job waiting to be processed is a stored copy. Second, application and error logs, which frequently capture request payloads and therefore transcript fragments. Third, exports: the spreadsheet somebody pulled for a QBR now lives in a shared drive nobody governs.

A pipeline built as part of a real integration treats those as first-class storage locations with their own expiry rules, not as invisible plumbing.

What to ask for in writing

Ask for a one-page data flow description naming each system, each operator, what is stored there, and for how long. If a vendor cannot produce it, they have not thought about it, and neither has anyone else. That document is also the starting point for every other governance question you will need to answer later.