AI & Automation
Meeting agent: notes you can find again
Useful meeting follow-up is not a transcript. It is a decision log, tasks with owner and due date, plus a check that claims actually appear in the source.
What goes wrong: storing the conversation instead of leading the outcome
In a typical 10-15 person team, the Monday meeting disappears like this:
- three note versions in different docs
- “we should …” with no owner and no date
- two weeks later: “What did we decide on vendor X?”
- nobody finds the evidence in under five minutes
Ops and meeting guides agree here: notes are outcomes, not a transcript. Decisions, tasks, open items. Everything else is noise.
Two lists, not one
Do not merge the decision log and the task list. They answer different questions.
Decision log (what is true from now?)
| Decision | Short rationale | Decider | Review |
|---|---|---|---|
| Keep vendor X until Q4 | price comparison incomplete | Mira (Ops) | 30 Sep |
| Hiring freeze in sales | pipeline below plan | Jonas (CEO) | in 2 weeks |
Rule: no decider and no review date usually means opinion, not decision.
Task list (who delivers what by when?)
| # | Task | Owner (one person) | Due | Status | Source |
|---|---|---|---|---|---|
| 1 | Finish vendor X price comparison | Mira | Fri 12:00 | open | Meeting 16 Jul |
| 2 | Align hiring freeze with CEO | Jonas | Wed | open | Meeting 16 Jul |
Practice rule: one named person, one concrete task, one hard date. “The team” is not an owner.
Add a parking lot for topics raised but deferred. Otherwise they get logged as decisions by mistake.
Operating rhythm
Within one hour after the meeting: share the lists and confirm owners. Around 48 hours: ask about blockers. At the start of the next meeting: spend two minutes on open items from last time. If an item sits on three consecutive logs with no progress, that is a process failure, not “not enough AI”.
Baseline across five working days
Count for one week:
- minutes of follow-up per meeting (including search and chasing)
- share of meetings with decision log + owner tasks the same day
- “What was decided?” questions within seven days
- tasks without owner or due date (should trend to zero)
Pilot goal: follow-up time down, owner rate up, fewer decision questions.
Quality: faithfulness before eloquence
For AI summaries, check three failure modes separately. Summary-evaluation research keeps them distinct on purpose:
| Check | What can go wrong |
|---|---|
| Are the claims true? | invented decisions, wrong numbers, unjustified certainty |
| Was something important omitted? | a real decision or task was dropped |
| Is uncertainty marked? | a contradictory transcript is sold as clarity |
Practical spot-check before go-live (10-15 cases):
- standard meeting with clear tasks
- meeting with no decision → agent must invent nothing
- sensitive HR/client topics → review or stop
- contradiction in the transcript → mark uncertainty
- later knowledge question only from approved sources, with citation
When the meeting agent pays off
A template or reliable note-taker is enough when meetings are rare and one person follows up consistently.
A meeting agent pays off when meetings often create decisions, knowledge must stay findable across the team, and reporting draws from the same sources.
Then: one meeting type, three outputs (short summary, decision log, tasks), one approved source set. Not “index everything”.
Anti-patterns
- transcript as knowledge base without structure
- merging decision log and tasks into free text
- owner = “Marketing” or “we”
- hallucination as fact in status emails
- permissions for everyone on day one
- five meeting types and three tools in the first pilot
Mini pilot brief
Pilot: meeting agent for [meeting type]
Sources: [list], explicitly approved
Outputs: short summary + decision log + task list (+ parking lot)
Must not: secret sources, invented decisions, send without review
Review: [name] approves critical decisions
Owner: [name]
Baseline week: follow-up ____ min | owner rate ____ | decision questions ____
Success in 2-4 weeks: follow-up down, owner rate up,
fewer “what was decided?” questions
No-go: repeated false decisions or unclear source grounding
Brief incomplete? AI workshop. Calendar: AI agent pilot in 30 days.
Next step
Start with one meeting type, two separate lists and a one-week baseline. A reviewed pilot follows. At BitAutor, the prototype and first integration start from €500.
FAQ: AI meeting agent
Does the agent replace note-taking completely?
No. It structures content and reduces follow-up work. Critical decisions stay in human review.
How do I avoid false decisions?
With source grounding, separate outputs (decision log vs. tasks) and review before sending.
Which meetings are a good entry point?
Recurring meetings with clear decisions and high follow-up load.
How do I measure value?
Baseline follow-up time, owner rate and decision questions before start, then compare after 2-4 weeks of pilot.
