playbook
Where should AI meeting transcripts be stored?
A practical storage policy for AI meeting transcripts, summaries, recordings, clips, and action items in small teams.
Bottom line
AI meeting transcripts should not be treated like ordinary meeting notes. A transcript is a durable record of names, questions, objections, internal strategy, customer statements, candidate comments, pricing, support issues, product roadmap details, and sometimes restricted personal data.
Use this default rule:
Store AI meeting transcripts in the smallest approved system that can enforce access, retention, deletion, and owner review. Do not auto-sync raw transcripts into CRM, Slack, email, shared drives, or applicant tracking systems by default.Before enabling transcript storage, run the AI Tool Risk Checker for the meeting-bot workflow and record the approved storage rule in the Small Team AI Security Checklist.
Transcript storage decision matrix
| Meeting type | Best default storage | Avoid by default |
|---|---|---|
| Internal planning with no sensitive data | Meeting-bot workspace or restricted team drive. | Broad Slack channels. |
| Sales discovery call | Meeting-bot workspace plus reviewed CRM summary. | Raw transcript auto-sync to CRM. |
| Customer success or support call | Support or account workspace with restricted access. | Open shared drive folders. |
| Hiring interview | Recruiting system only after human-reviewed summary. | Raw transcript in ATS by default. |
| Security, legal, HR, health, finance, or incident discussion | Manual notes or owner-approved restricted storage. | General meeting-bot storage. |
| Vendor or partner call | Meeting owner folder with access limited to the project team. | Company-wide searchable transcript library. |
| Executive or board discussion | Manual notes or explicitly approved restricted repository. | AI transcript storage unless approved. |
If you cannot describe who can read the transcript, how long it is kept, and who can delete it, the storage location is not approved.
Storage location rules
Small teams usually have five possible places where transcript data can end up. Treat each one differently.
| Location | Use when | Required controls |
|---|---|---|
| Meeting-bot workspace | The bot provides access controls, retention, deletion, and owner review. | Admin owner, transcript sharing limits, retention setting, offboarding process. |
| CRM or customer record | The transcript has been reviewed and reduced to business-relevant notes. | Sync only reviewed summaries or action items; restrict sensitive fields. |
| Support desk or customer success workspace | The call directly supports an account, ticket, or implementation. | Link to the customer record; avoid raw transcripts unless approved. |
| Recruiting or HR system | The interview record is factual, role-related, and reviewed. | No automated scoring; restrict to recruiter, hiring manager, and interview panel. |
| Drive, SharePoint, Notion, or internal wiki | The team needs a controlled internal reference. | Restricted folder, named owner, review date, no customer/candidate raw transcript by default. |
Do not use email inboxes or chat channels as long-term transcript storage. They are hard to prune, hard to audit, and easy to overshare.
Raw transcript vs summary
The safest design is to keep raw transcripts contained and move only reviewed summaries into systems of record.
| Output | Default rule | Reason |
|---|---|---|
| Raw audio or video | Off unless needed. | Highest sensitivity and hardest to summarize safely. |
| Raw transcript | Keep in meeting-bot workspace with limited access. | Full record can include off-topic or restricted statements. |
| AI summary | Review before saving elsewhere. | Summaries can omit context or create inaccurate commitments. |
| Action items | Sync after owner review. | Lower risk if factual and assigned to the right owner. |
| CRM note | Save only business-relevant reviewed content. | CRM becomes a durable customer record. |
| Candidate interview note | Save only factual, job-related reviewed content. | Avoid preserving speculative or sensitive candidate data. |
| External follow-up | Human review required before sending. | Customer or candidate-visible output needs accuracy and tone review. |
The rule is not “never sync”. The rule is “sync the minimum reviewed output needed for the workflow.”
Approved storage policy
Copy this into the meeting-bot operating procedure.
AI meeting transcript storage policy
Raw AI meeting transcripts may be stored only in approved company systems.
The default approved location is [meeting-bot workspace / restricted team folder], owned by [owner].
Raw transcripts may not be automatically synced to CRM, ATS, Slack, Teams, Drive, Notion, email, or customer-facing systems unless the workflow owner has approved that destination.
Reviewed summaries and action items may be saved to CRM, support systems, recruiting systems, or project tools when they are relevant, factual, and checked by the meeting owner.
Meeting owners must remove or restrict transcripts that include passwords, payment data, private keys, health information, legal advice, HR issues, customer secrets, candidate sensitive data, or incident details.
Transcript retention is [30/60/90] days unless the owner documents a longer business reason.
Departed employees must lose access to meeting-bot workspaces, transcript folders, CRM notes, and connected systems during offboarding.Access and retention checklist
Approve transcript storage only when these controls are true.
- There is a named owner for transcript storage.
- Raw transcripts stay in one approved location by default.
- External meeting transcripts are not broadly searchable across the company.
- CRM, ATS, Slack, Drive, Notion, email, and project connectors are reviewed separately.
- Retention is configured or manually enforced.
- Deletion is possible and assigned to an owner.
- Meeting owners can remove a bot or stop transcription when the call becomes sensitive.
- Offboarding removes access to transcripts and connected folders.
- Human review is required before customer-facing, candidate-facing, or executive summaries are shared.
- Restricted meeting types have a manual-notes fallback.
If a tool cannot support the storage rule, keep transcripts out of that workflow.
Storage approval record
Use this before approving a new transcript destination.
| Field | Decision |
|---|---|
| Meeting workflow | [Sales discovery / support / recruiting / internal / other] |
| Meeting bot | [Tool name] |
| Raw transcript location | [Approved location] |
| Summary destination | [CRM / ATS / support desk / project tool / none] |
| Access group | [Roles or named group] |
| Retention period | [30 / 60 / 90 days / other] |
| Deletion owner | [Name or role] |
| Connector owner | [Name or role] |
| Sensitive meeting types blocked | [Yes / No] |
| Human review required before sync | [Yes / No] |
| Next review date | [Date] |
Store the approval record next to the team’s AI tool inventory or meeting-bot policy.
Rollout plan
Use this rollout sequence when moving from ad hoc transcripts to approved storage.
| Step | Action | Exit criteria |
|---|---|---|
| 1 | Inventory where transcripts already land. | Meeting bot, CRM, ATS, Slack, Drive, and email destinations listed. |
| 2 | Pick one default raw transcript location. | Owner and access group documented. |
| 3 | Disable broad auto-sync. | Raw transcript no longer spreads by default. |
| 4 | Define reviewed summary destinations. | CRM, ATS, support, and project tools have separate rules. |
| 5 | Set retention and deletion owner. | Retention period and deletion process documented. |
| 6 | Train meeting owners. | Owners know notice, opt-out, stop-recording, and restricted-topic rules. |
| 7 | Review after 10 meetings. | Oversharing, access, and summary quality are checked. |
Do not start by turning on every connector. Start with one storage location and add destinations only when they solve a real workflow problem.
Red flags
Pause transcript storage when any of these show up.
| Red flag | Response |
|---|---|
| Raw transcripts appear in broad Slack or Teams channels. | Disable sharing connector and audit recent posts. |
| CRM contains unreviewed transcript text. | Remove or restrict records and change sync rule. |
| Candidate interview transcripts are visible outside the hiring team. | Restrict access and review ATS sync. |
| Meeting transcript includes secrets, payment data, legal, HR, health, or incident details. | Restrict access and request deletion where appropriate. |
| Departed user still has transcript access. | Fix offboarding and connected apps. |
| No one knows how to delete transcripts. | Block new transcript storage until owner and deletion process exist. |
Evidence checked
- Zoom AI Companion Security and Privacy
- Zoom meeting summary admin controls
- Fireflies security and privacy
- Fireflies policy on keeping information safe
- Otter privacy and security
- Otter enterprise admin controls overview
- NIST Privacy Framework
FAQ
Should every meeting transcript go into CRM?
No. CRM should receive reviewed account notes, not raw meeting transcripts by default. Raw transcripts can include off-topic personal data, inaccurate statements, pricing negotiation details, or sensitive customer comments.
Is a meeting-bot workspace safer than Drive?
It depends on the controls. The safer location is the one with the right owner, access group, retention setting, deletion path, and connector controls. A bot workspace with weak sharing can be worse than a well-restricted Drive folder.
Should hiring interview transcripts be stored?
Only with stricter controls. Candidate transcripts should not be broadly visible, automatically scored, or saved without human review. Use the AI meeting bot policy for hiring interviews before approving recruiting workflows.
How long should transcripts be kept?
Start short: 30-90 days for ordinary meeting-bot transcripts unless the workflow owner documents a stronger business reason. Keep system-of-record notes according to the relevant CRM, support, HR, or project policy.
Can summaries be shared more broadly than transcripts?
Sometimes, but only after review. Summaries can still contain sensitive data or inaccurate commitments. Review customer-facing, candidate-facing, legal, HR, security, and executive summaries before sharing.
Recommended next step
Inventory the first 10 meetings where transcripts are currently created, identify every storage destination, and pick one approved raw transcript location. Then run the AI Tool Risk Checker and record the final storage rule in the Small Team AI Security Checklist.