Your meetings, summarized and logged in your CRM, before you stand up.
ChatGPT processes the call transcript, writes the summary in your team's note style, extracts action items, advances the deal stage, and updates your CRM — all within a minute of the meeting ending.
Northwave · Discovery call summarized and logged:
Meeting notes
- • Budget confirmed: ~$140K ACV, Q3 rollout window.
- • Blocker: needs SOC 2 Type II report before legal review.
- • Next step: Priya sends ROI model + reference call with Beacongrid.
How does OpenAI (ChatGPT) work for meeting notes & summaries automation?
OpenAI (ChatGPT) works for meeting notes & summaries automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to OpenAI (ChatGPT) alongside the other apps your team already uses, watches for the triggers that matter for meeting notes & summaries, and takes the next step on its own while keeping a complete audit trail for review. AI captures every word from meetings and generates searchable transcripts instantly. Teams typically see within minutes of the meeting ending once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Budget confirmed: ~$140K ACV, Q3 rollout window.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Salesforce · Opportunities with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Northwave · Discovery.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
Granola, Gong, Chorus, Otter, Fireflies, native Zoom, Microsoft Teams, and Google Meet. Audio-only recordings are transcribed first.
Yours. The agent learns from your team's past notes — bullet style, length, what gets called out vs. omitted — and produces new notes that match.
If the meeting hits criteria for the next stage (e.g., "budget confirmed" + "decision-maker identified"), it moves the deal forward and updates the next-step field. Borderline cases go to the AE.
Yes. Standups, retros, customer interviews, all-hands — any recording with a transcript can be summarized into the destination of your choice (Notion, Linear, Slack, doc).
Stored in your transcript tool's account. The agent reads them via API — we don't keep a copy beyond what's needed for the run.
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