AI decision logs: how to never lose a meeting outcome again

What an AI decision log actually is

An AI decision log is a running list of every decision a team has made, captured by an AI that listened to the meeting it came from. The log is separate from the transcript and separate from the recap. It has one job: tell anyone on the team, in five seconds, what was decided and who's carrying it.

The "AI" part isn't the point. The decision log itself is a thirty-year-old idea borrowed from architecture decision records in software and incident logs in operations. What's new is that you no longer need a human to write each entry by hand. A meeting AI that understands when a decision happens can draft the entry in real time and the team only has to approve it.

Why meeting decisions get lost in the first place

Meeting decisions get lost because they're buried inside the wrong artifact. A typical hour-long meeting produces a transcript of 7,000 to 10,000 words. Inside that mass, three or four real decisions might live. Finding them later means scanning a wall of text written by someone who wasn't trying to make the decisions easy to find.

Three patterns repeat in almost every team I've watched:

• The recap doc replaces the log. Someone writes a tidy summary after the meeting. It reads well on the day. By next week, no one remembers which doc it's in.
• The decision lives in chat. The team decides something in a Zoom call, then confirms it in Slack. The Slack message scrolls off in two days.
• The decision was never made explicit. Three people leave the meeting confident the team picked option B. Two leave confident it was option A. Both groups act on it.

The cost isn't just memory. It's re-decision. Teams that lose their decisions end up making the same call again next quarter, with the same arguments, by the same people, for the same outcome. That's the tax a missing log quietly charges.

The five fields every decision log entry needs

Every useful decision log entry has the same five fields. Anything more becomes a form no one fills in. Anything less and the entry won't make sense a week later.

1. The decision, in one sentence

Plain, declarative, no hedges. "We're using PostgreSQL for the new analytics service." Not "we discussed databases and leaned toward PostgreSQL." If the sentence has the word "discussed" or "considered," it's a note, not a decision.

2. The owner

One person. Not a team, not a channel. The owner is the human who answers when someone asks "where are we on this?" Two owners means no owner. If the work is shared, name a single accountable lead and let them split execution.

3. The date it was made

The meeting date, in absolute form (2026-05-13, not "last Tuesday"). This matters because decisions decay. A choice made nine months ago might still be load-bearing or might already be overridden by a newer one. The date is the only way to tell.

4. The next checkpoint

The date or condition by which the team will know whether the decision held up. "Review by 2026-06-13" or "Revisit once we have 500 paying users." Decisions without a checkpoint quietly become permanent, which is the worst form of a decision.

5. The one-line reason

Why this, not the other option. "Picked PostgreSQL because we already have ops experience and the workload fits." This is the field everyone wants to skip. It's the field future-you will thank present-you for. Without it, the team relitigates the same call when conditions change.

What the log is not

A decision log is not a transcript, not a recap doc, and not an action items list.

If your "decision log" is really a meeting recap with bullets, you have a recap doc. If it's a list of tasks with assignees, you have a project tracker. The log sits next to those, not inside them.

The reason to keep it separate: decisions and tasks have different lifecycles. A task closes. A decision keeps applying until something explicitly overrides it. Mixing them means closed tasks make decisions look closed too, and live decisions get archived along with the work they spawned.

Manual logs are real, but they don't survive

Plenty of teams try to keep a decision log by hand. A senior engineer takes notes. A PM blocks ten minutes at the end of every meeting to write entries. A founder sets a weekly reminder to log the week's calls.

These work for a week. Sometimes a month. They almost never survive a quarter. The reason isn't discipline. It's that the cost of writing an entry, while doing the actual work the entry is about, is high enough that any pressure (a launch, a fire, a hire) pushes the log to "I'll do it later." Later never comes.

The fix isn't more willpower. It's removing the cost of capture entirely.

How voice AI captures decisions automatically

Voice AI captures decisions by listening for decision language while the meeting is happening, drafting the entry in real time, and confirming it with the room before the call ends. The flow looks like this:

1. The team is mid-discussion. Someone says "okay let's go with PostgreSQL then."
2. The AI flags the moment as a likely decision. It drafts an entry: decision, owner candidate, suggested checkpoint, one-line reason inferred from the prior five minutes of conversation.
3. Near the end of the meeting (or at a natural pause), the AI speaks up: "I've drafted four decisions. Want a quick look?"
4. The team reviews on screen. Edits the wording, swaps owners, adjusts the checkpoint date. Takes about 90 seconds.
5. The AI writes the entries to your team's chosen home: a Notion database, a Linear cycle, a Slack canvas, a Google doc.

No one stops the meeting to type. No one writes a recap doc afterward. The log updates as a byproduct of the conversation, which is the only mode that survives over time. (See the two-shifts problem for why removing the "after meeting" shift matters so much.)

Where the log should actually live

The decision log should live in the same tool your team already opens daily. For most teams, that's Notion, Linear, or a shared doc tool. Building a separate "decision log app" is how logs die: a tool you have to remember to open is a tool you won't.

A good setup looks like one of these:

• Notion database. One row per decision, the five fields as columns, a "status" column for active/overridden, filtered views per team. This is the most common and most flexible.
• Linear "decisions" project. Each decision is an issue in a dedicated project. Owners get the issue. Status reflects whether the decision is still load-bearing.
• Slack canvas pinned to the team channel. Works for small teams. Falls apart past about ten decisions a month.

The exact tool matters less than the rule: one home, easily searchable, opened by people who don't already know what they're looking for.

How to start, if you have nothing today

The starting move is to log a single meeting this week, by hand if you have to. One meeting, three to five entries, five fields each. Put it where your team already lives. Run it through the next standup as the source of truth for what was decided.

If the team finds the log later that week and uses it to answer a real question, you've earned the right to scale it. That's when adding voice AI to capture the entries makes sense: you've proven the log matters, so the automation pays for itself in saved time.

If no one opens it after a week, the log isn't your real problem. The team probably needs meetings that actually decide things first. Logging non-decisions doesn't help.

Where relly fits

relly is voice AI that joins your Zoom, Google Meet, or Microsoft Teams call and captures the decision log as part of doing the work. It listens for decision language, drafts entries in the five-field shape, confirms with the room, and writes the result to Notion or Linear before the meeting ends. The log updates without anyone leaving the conversation.

If you're tired of writing recap docs that disappear, early access gets you a working decision log from your next meeting, with 50% off your first 12 months. No card needed until launch.