Meetings & Workshops

What gets decided in the room, seldom logged

A meeting is where the team aligns, but the reasoning behind what was agreed rarely makes it out of the room.

Meeting notes, when they exist, usually capture what was decided, not why. The discussion that led there, the options that were considered and rejected, the risk that someone raised and the team chose to accept: all of that evaporates. What survives is a list of actions, stripped of the context that would make them meaningful to anyone who was not in the room.

Workshops are even more compressed. A room full of people works through something in three hours that took months to understand, and the output is a set of photos and a sticky-note export that no one looks at after the debrief. The shared understanding built in that room is real, but it exists mostly in the memory of the people who attended.

An AI tool brought in after the meeting to help follow up, write a brief, or plan next steps is working blind. It has the output but not the reasoning, the decision but not the debate. That gap creates generic responses where specific, contextual help would actually be useful.

Make it visibleAfter your next team meeting, add a single paragraph at the top of the notes: the one thing that was decided and the main reason the team chose it over the alternatives. File it in a shared folder your AI tool can read.

Why AI needs this

Each part of your work matters to AI in a specific way. Some of it is context a tool needs before it can help, some of it is work a tool can take on, and some of it is judgment that should stay with you.

Decisions with context

A decision log that captures not just what was decided but which alternatives were weighed is one of the most useful things you can feed an AI. It reduces the chance of re-litigating settled questions and helps a tool understand the boundaries of the mandate.

Captured friction

The concerns raised and partially resolved in a meeting are early warning signs. If they are written down, a tool can flag when the same tension resurfaces in a later project.

Workshop outputs

Sorted, labelled workshop outputs in a searchable format (not just a photo export) become a corpus a tool can reason over, helping connect ideas across sessions that happened months apart.

Who was in the room

Attribution matters. Knowing which stakeholder raised a concern or shaped a direction helps a tool calibrate which voices shaped a decision, relevant when drafting follow-ups or briefings.

Questions to explore

Use these on your own or in a group. There are no right answers, only better conversations.

How often does your team write down the reasoning behind a meeting decision, not just the decision itself?
What was the most important thing agreed in a meeting last month, and where is the rationale documented?
If a colleague who missed a key workshop needs to understand the output, what do they actually have to work with?
Where do your workshop outputs live, and who can realistically find them six months later?
What would change if every meeting produced a two-paragraph context note, not just an action list?

Readiness traps

Verbatim transcripts of long meetings are hard to use. The capture investment pays off most when someone summarises the key decisions and reasoning, not just produces a raw log.
Shared docs that no one keeps up to date create false confidence. An out-of-date meeting note is sometimes worse than no note, because it suggests the decision has been captured when it has not.
When the person who attended the workshop leaves the team, the shared understanding built there often leaves with them. This is a specific and preventable knowledge risk.