Otter.ai
Conversations
Otter records meetings and produces a word-for-word transcript of what was said, without any trackers or deal-specific tagging attached. Revenue Labs reads that transcript and turns it into deal state, and what was discussed carries into the account record for every rep who opens it.
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Meeting Follow-up·26 meetings followed up today
Following up Harrowgate Systems… ›
TriggerMeeting ended · Harrowgate Systems - Discovery call · $295K, CISO evaluating
Deploy agentDeploying Meeting Follow-up agent on the account
Use skillLoading skills · Meeting Follow-up · Qualification Assessment · CRM Update
Reference memoryReading memory · Sales Process · Discovery & Qualification
ReasoningSentiment came back high and Priya Nair asked unprompted about the implementation timeline, both positive markers, but Paper Process is still the deal’s highest-risk pillar
ActionUpdate CRM state, draft recap email → notify AE in Slack
✓Followed up in 6 seconds ›
Surfaces inWorkspaceviaSlackTeams
Revenue LabsAPP11:22 AM
LIVE
MEETING FOLLOW-UP: Harrowgate Systems | $295K Discovery
WHAT CHANGED
Next Step updated · [Schedule technical deep dive with security team]
Economic Buyer confirmed [Priya Nair, CISO] · Sentiment logged [Positive]
WHAT TO PRIORITISE
Book the technical deep dive before momentum cools - Priya asked unprompted about the implementation timeline; get security looped in while interest is high.
WHAT TO ADDRESS
Paper Process is still the highest-risk pillar
Procurement and security sign-off steps aren’t mapped yet. Sentiment and timeline moved this call, this pillar didn’t.
COACHING RECOMMENDATION
Confirm the security review timeline with Priya on the next call, before it becomes an open risk on its own.
Review & Send RecapSee What ChangedAsk Agent
The tool alone > AI bolted on > AI-native
What changes when Otter.ai feeds a system that learns
Three jobs Otter.ai already does, and what each becomes when its evidence joins live company, contact and deal state.
01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Conversation records and transcripts
Searchable conversation records.
Otter records or imports conversations and produces a transcript. A reviewer checks speaker labels, audio quality, and the wording before relying on a detail.
Otter AI summarises the conversation.
Otter generates a summary, outline, and action items from the transcript. It helps inside the conversation workspace, but outside deal evidence and outcomes remain outside that workspace.
Conversation evidence updates deal state.
A transcript from Otter supplies evidence for the relevant company, contact, and deal after the connected state is checked.
Action items and meeting insights
Follow-up actions visible to the team.
Otter can assign generated action items and show insights alongside the transcript. People still review the owner, correct the wording, and carry the task into the deal process.
AI assigns actions from the talk.
Otter identifies tasks and can assign them to participants based on the conversation. The assignment remains an Otter task, with no feedback on whether it changed the eventual deal.
A commitment sits beside the deal.
Actions, owners, or decisions join the company, contact, and deal evidence, keeping the commitment in context for the next decision.
Conversation search and Otter Chat
Questions about a past call.
Search, outline, and comments help a user recover a detail from a meeting. The user still asks the right question and decides what the answer means commercially.
Otter Chat answers from the transcript.
Otter Chat answers questions and drafts content from the selected conversation. Its answer stays in the Otter workflow, with no cross-tool learning from the result of the deal.
Closed outcomes teach the next read.
Wins, losses, and stalls are matched to the conversation details; that learning determines which signals shape the next account decision.
Runs on it
Capabilities that act on connected evidence
Sales
Sales Coaching
Active
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Two reps stall the same way on the pricing objection
Same pattern, three live deals this month, missed every time
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The real moments, pulled into the 1:1
Every deal where the objection landed and nobody answered it
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A drill built from those moments
Practise the comeback before the next call, not after
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Same objection, the deals after: handled
Coaching put into practice and checked, not just delivered
Know what to coach, and whether the coaching stuck
Prospecting
Meeting Follow-up
Active
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The deal state updates after the meeting
The AE receives priorities, next steps, issues to address and coaching recommendations.
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Relevant fields are proposed from evidence
Sales process and qualification logic identify what moved for the rep to approve.
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Follow-up comes from commitments
The draft uses the meeting's actual commitments and next steps for review and sending.
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Risks reach the right judgement
Routing and escalation logic surfaces risks that require a manager's judgement.
Traceable follow-up cuts post-call reconstruction and manual chasing while deals move forward.
Sales
Discovery Analysis
Active
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The call is checked against the standard.
It shows what the company's discovery and qualification criteria covered.
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The deal evidence stays connected.
Each conversation shows whether earlier gaps are closed or still open.
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The manager gets coaching evidence.
Transcript evidence sits behind each qualification gap.
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The analysis recommends follow-up questions.
Open gaps map to questions drawn from what this deal is missing.
Humans correct interpretations and pursue sensitive questions.
BUILT FOR SECURITY, CONTROL AND SCALE
Connect data securely, capture every agent's activity, and enforce permissions with ease.
Learn about our security →CERTIFIED + COMPLIANT WITH:
ISO 27001:2022
GDPR
CCPA
Data Protection Act 2018
The GTM teams that learn fastest will win.
Connect your stack to a system that learns.