Step 1: Set an approved-notetaker policy
What to do: Name the permitted services, the roles that can approve them, and the meeting types or data classifications where capture is not allowed. Include a clear exception path for sensitive calls and a process for participant notice.
Success looks like: Hosts and staff can tell which tools are approved, when recording is allowed, and whom to ask before an exception.
Common mistake to avoid: Do not rely on a general “use good judgment” statement that leaves hosts to interpret policy during a call.
Step 2: Audit calendars, connected accounts, and integrations
What to do: Identify accounts connected to meeting assistants, inspect calendar permissions and auto-join preferences, and remove access that is no longer approved. Check integrations and service accounts as well as individual users.
Success looks like: Your inventory shows which users and services can see meeting schedules or prepare an assistant to join.
Common mistake to avoid: Do not check only invitations sent by staff; calendar authorization may persist beyond a single meeting.
Make calendar and integration review a recurring access task, with an owner and a documented removal process.
Step 3: Configure meeting admission and recording policies
What to do: In each service, review available controls for external participants, admission, recording, and native AI. Use the strictest setting that fits the meeting’s purpose, and confirm who can change it.
Success looks like: Unapproved participants cannot enter without the required host action, and recording or native AI is managed under the right organizational policy.
Common mistake to avoid: Do not assume one vendor’s meeting setting will control other platforms or disable native AI everywhere.
For Notta Bot specifically, distinguish preparation from the live meeting: setup may include connecting a calendar or preparing a meeting link; for a manual invitation, paste the link into Notta after the meeting starts, then confirm the bot has joined and recording has begun. That workflow is different from Bot-Free recording.
Step 4: Govern non-bot capture routes
What to do: Include native meeting AI, desktop system-audio capture, browser recording, mobile recording, and hardware recorders in your policy. Set device and application rules where available, and tell staff that a meeting without a bot may still be recorded.
Success looks like: Your controls and user guidance cover recording methods that do not appear as an external meeting participant.
Common mistake to avoid: Do not treat a blocked bot as proof that no audio or transcript can be created.
Review desktop capture and Bot-Free recording as part of the same risk assessment, while keeping each method’s behavior distinct.
Step 5: Test, document, and repeat
What to do: Run controlled tests on each supported meeting service. Try an approved bot and a blocked or unapproved participant, check native recording and AI settings, and verify what happens on managed devices.
Success looks like: A dated test record names the platform, account, settings, observed result, and any follow-up action.
Common mistake to avoid: Do not treat a one-time test as permanent; platform settings, integrations, and organizational needs can change.