← All operations automation

Instant meeting search

Every meeting. Searchable. Instantly.

Your transcript library is a goldmine nobody uses. Ask questions in Slack, get answers with citations from any meeting.

Where it breaks today

Extensive meeting transcript library going unused. Manual review is impractical. Proposals and commitments get lost in the noise. Proposals lost. Commitments forgotten.

The fix

We make every meeting transcript instantly searchable via natural language queries.

What we build

An agent is a stack.

01

Natural language search

Ask questions in Slack, get synthesized answers with citations from your meeting transcripts.

  • Fathom transcript ingestion
  • Meeting type and participant classification
  • Natural language queries via Slack
  • Synthesized answers with citations
Core

How it works

Ingest. Query. Answer.

01

Connect Fathom

Transcripts ingested from Google Drive automatically.

Step 1
02

AI indexes everything

Meetings categorized by type, participants, and companies.

Step 2
03

Ask in Slack

Natural language query → synthesized answer with citations.

Step 3

What it delivers

Outcomes, in weeks.

Instant queries vs. manual review
Never lose proposals or commitments
Full transcript coverage

Before → After

Finding info: Manual review

Instant queries

Before → After

Proposals: Often lost

Never lose commitments

Before → After

Search time: 5-10 min per query

Seconds with context

No lock-in

Built in your stack.

Live in 4-6 weeks. You own the system — sovereign, no vendor lock-in.

  • Document Management (Google Drive, SharePoint, or your system)
  • Transcription Services (Fathom, Otter, or custom)
  • Team Communication (Slack, Teams, or your tool)
  • CRM Integration (HubSpot, Salesforce, or your system)
  • Runtime & Orchestration (Trinity by Ability AI)

Questions

Questions about call intelligence

What meeting platforms does it work with?

Fathom for transcripts (works with Zoom, Google Meet, Teams). Transcripts auto-sync to Google Drive, then ingested automatically.

How does natural language search work?

Ask in Slack: 'What did Alex commit to last week?' System searches all transcripts, synthesizes answer, provides citations to exact meetings.

What results should we expect?

Sales and ops teams typically save 5-8 hours/week searching for meeting details. That's 250-400 hours/year = $20K-$35K in capacity. Plus zero lost proposals or commitments improves deal closure by 10-15%.

How long does implementation take?

4-6 weeks from kickoff to production. Week 1-2: Google Drive and Fathom integration. Week 3-4: AI indexing and Slack bot setup. Week 5-6: Testing and team training.

Do we own the system?

Yes. You own the system. We build the infrastructure in your stack, hand over the keys, and you own it forever - no vendor lock-in.

Reply.io team sharing knowledge in modern office

Proof

45 minutes → 5 minutes. Knowledge found.

Reply.io's team was spending an hour daily hunting for information. We built an AI intelligence hub that made company knowledge instantly queryable.