Otter.ai
Otter.ai integration

Polar in Otter.ai: the recap written from the numbers, not from memory.

Otter.ai captures what was said. What it cannot do is check whether it was true, because the numbers people argue about in the meeting live in your dashboards. Connect Polar and an agent brings the governed figures into the recap, so the follow-up is sourced instead of remembered.

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The recap, written from the numbers.

What Otter.ai captured, joined to Polar's governed metrics, so the summary carries the real figures and every follow-up leaves with the evidence that produced it.
Call recap
"What did we actually agree?"
The summary from Otter.ai, with the figures discussed pulled from Polar.
recap + real numbers
Fact-check the meeting
"Was that number right?"
Every metric quoted in the call checked against the governed layer.
checked, not recalled
Sourced actions
"Why are we doing this?"
Each action item carries the metric and the period that justified it.
action + evidence
Pre-read
"Can we start from the data?"
The relevant numbers pulled before the call, not after it.
before, not after
On a schedule
"Do I have to ask?"
Recurring meetings get their numbers attached automatically.
set once
Two connectors
"Does an AI reason on it?"
Polar over MCP for the data, Otter.ai for the conversation, in one agent.
read + write
Setup Guide

How to Connect Otter.ai to Polar.

A Polar account with your stack connected, a Otter.ai workspace, and an agent with the Polar MCP and your notes.
Polar

A Polar account with your stack

A Polar account with Shopify and your sources connected, so the numbers in the recap match your dashboards.

Connect your data →
Otter.ai

Your Otter.ai workspace

An Otter.ai account recording the meetings you want the numbers attached to.

Open Otter.ai →

An agent with the Polar MCP

An assistant (like Claude) with the Polar MCP, so the recap is written against governed data rather than against a memory of it.

1

Give your agent the Polar MCP ~2 min

Governed metrics, first-party.
Connect the Polar MCP to your assistant. It reads your governed semantic layer, net sales, blended CAC, contribution margin, so any figure it puts in a recap is fetched rather than recalled.
2

Attach the numbers to the notes ~2 min

Recap, meet reality.
1
Point the agent at the Otter.ai transcript or summary for the meeting.
2
It pulls the metrics that were discussed from Polar and writes them into the recap, with the period each one covers.
check every number in this recap against Polar and correct it
3

Actions that carry evidence the payoff

Follow-up, sourced.
Each action item leaves with the metric that justified it, so the next meeting starts from a figure rather than from a disagreement about whose number was right.
Get started

Stop leaving the meeting with an unverified number.

Give an agent the Polar MCP and your notes, and let the recap carry the real figures and the actions that follow from them.

Side by side

Otter.ai captures the conversation. Polar brings the numbers to it.

Notes and action items live in Otter.ai, and the numbers people argue about in the meeting live somewhere else. Polar supplies the governed figures, so the recap is written from the source instead of from memory.
Otter.ai

Otter.ai on its ownon its own

Otter.ai+

Otter.ai with Polarblended

Action items are written from memory, not from the data.
Recaps sourced from Polar's governed numbers.
Every metric mentioned has to be looked up afterwards.
Ask Polar in plain language, during or after the call.
Notes are a record of a discussion, not a decision.
Decisions carried into a dashboard the team already reads.
The follow-up depends on whoever took the notes.
The same numbers and the same definitions, every meeting.
The Gap

The connector is only half of it.

Your agent reads Polar's governed metrics over MCP and writes them into the Otter.ai recap: the figures that were discussed, the period each covers, and the actions they justify. Fetched, not remembered.
Otter.ai

Otter.ai

the transcript and the questions
a recap with real numbers
Polar

Polar

Featured Use Case

Nobody leaves with the wrong number.

Someone always quotes a figure from memory. The agent checks it against Polar, corrects it, and notes which period it actually covers.
O Meeting recap Sourced to Polar
Metric
This week
WoW
Net revenue
$482,100
+6%
Orders
3,240
+4%
Blended CAC
$38
-9%
New vs repeat
42 / 58
-3pts
Email revenue
$71,400
+12%
The recap, with each figure fetched rather than remembered. Illustrative figures.

Checked, not recalled

Sourced

Someone always quotes a number from memory. The agent replaces it with the governed one and says which period it covers.

Actions with evidence

No SQL

Every follow-up carries the metric that produced it, so the next meeting argues about the decision rather than about the data.

Your Prompt Library

15 prompts a connected Otter.ai unlocks.

Sourced recaps, fact-checked figures, pre-reads and action items that carry their evidence.
Type
Audience
15 of 15
Get started · connect once · recaps that cite

The meeting ended with a number nobody checked. Now it does not.

Connect Polar and Otter.ai to one agent, and let the recap arrive with the governed figures and the actions they justify.

Phase 1 ~5 minConnect your data in PolarConnect Shopify and your stack. Polar's semantic layer turns it into governed metrics, then wait for the first sync.
Phase 2 ~2 minGive an agent Polar + Otter.aiConnect the Polar MCP and your notes to the same assistant.
Phase 3 the payoffRecaps that citeEvery figure fetched, every action carrying its evidence.