How to evaluate an AI meeting assistant

Define the meeting evidence boundary

Record the meeting purpose, participants, sensitivity, acting account, capture modes, permitted outputs, access roles, retention, and correction process. Separate audio or video recording, transcription, generated summary, action extraction, and downstream synchronization because they may have different settings and consequences.

The NIST Privacy Framework provides a voluntary structure for identifying and managing privacy risk. Apply it by limiting collection to the stated meeting purpose, naming who can access each evidence type, and documenting how records change or expire.

Do not test only an administrator-hosted internal meeting. Include guest, restricted, and mixed-permission cases that resemble the intended workflow.

Sources: [1]

Build a meeting lifecycle card

Create a card with the product and plan, tenant settings, integrations, date, meeting type, notice, participant choices, captured media, generated artifacts, access list, sync destinations, retention rule, and deletion result. Attach screenshots or exports where permitted.

Use separate statuses for supported, supported with conditions, failed, and not tested. If a feature is absent, check current first-party documentation, entitlements, regional availability, and administrator controls before concluding it is unsupported.

The NIST AI RMF Core calls for documenting intended use, human oversight, testing, and production monitoring. A lifecycle card turns those expectations into evidence for a specific meeting workflow.

Sources: [2]

Work a synthetic meeting test

Imagine a programme review with four participants, one external guest, a shared transcript, and action items synchronized to a project tool. The discussion includes a hypothetical customer issue and a correction from “launch Friday” to “decision Friday.”

The test record shows:

The disposition is supported with conditions: consequential decisions require source playback or transcript review, inferred owners remain unassigned, and corrected artifacts must update downstream systems.

• Notice: all participants see that transcription and summarization are active before discussion begins.
• Capture: the guest's audio is included; speaker labels switch during an interruption.
• Summary: the first draft repeats “launch Friday” even though the correction appears later.
• Action: an owner is inferred for the security review although no owner was assigned.
• Access: the external guest can view the summary but not the raw transcript under the tested settings.
• Sync: the inferred action is sent to the project tool as a draft, not an approved task.
• Correction: the meeting owner edits the decision and marks the action unassigned while preserving the change record.

Test failure and correction paths

Include overlapping speech, multiple languages, poor audio, ambiguous dates, corrected statements, sensitive side conversations, absent participants, integration failure, changed access, retention expiry, and deletion. Confirm what the system does, what a person must do, and what evidence proves the outcome.

The ICO guidance on monitoring workers discusses transparency, purpose, necessity, and proportionality in workplace monitoring. Actual obligations depend on context and jurisdiction, so the organization's qualified privacy and legal reviewers determine applicable requirements.

Test deletion across original media, transcript, summary, search index, export, and connected tools. Record incomplete or delayed outcomes rather than assuming one interface action removes every copy.

Sources: [3]

Score workflow fit

Rate notice clarity, capture quality, decision fidelity, action attribution, provenance, role enforcement, correction propagation, retention behavior, and exportability. Include the human review time required. A polished summary may be a poor fit if corrections do not reach connected systems or decision sources are difficult to inspect.

Two Prune can simulate meeting-derived work and retain the participant's submitted artifact plus available workflow evidence for human interpretation. It does not record production meetings, certify a vendor, establish every platform capability, or replace privacy, security, legal, procurement, or workforce review. Conclusions should stay tied to the tested configuration and meeting cases.