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AI Meeting Assistant · prep, transcribe, recap

An AI meeting assistant that preps you, transcribes the call, and ships the follow-up

Otter and Fathom record. We build the AI meeting assistant that closes the loop — pulls CRM history and last-90-day context for prep, transcribes and tags the call live, and drafts the follow-up email + CRM update + action items within 5 minutes of hangup. Saves 14 minutes per meeting and lifts follow-up rate 38%.

Book the free AI Audit→See pricing

14 min

saved per call

+38%

follow-up lift

5 min

recap turnaround

meetings.dgcore — AI meeting assistant

RUNNING

▸ Active call · Sarah Chen · 11:00–11:30

🧠

PRE-CALL

Brief generated · CRM history + 4 emails + LinkedIn pulled

T-30 min

🎯

LIVE

Live transcript · key signal flagged: "budget approved"

11:14

📋

LIVE

Action item captured: "send pricing by Friday"

11:22

✓

POST-CALL

Recap drafted · CRM updated · follow-up ready to send

11:34

📊

METRICS

38% higher follow-up rate vs manual baseline

YTD

Time saved per call

14 min

Follow-up lift

+38%

Certified on the platforms you already use80+ builds shipped

GoHighLevel

HubSpot

n8n

Make.com

Zapier

Klaviyo

Airtable

▸ Our verdict on AI Meeting Assistant

Most teams under-invest in meeting prep + recap because both feel optional in the moment. They are not. A 14-minute prep brief lifts close rate 8–12%. A 5-minute drafted follow-up at hangup lifts response rate 38%. AI meeting assistants make both effectively free, so the only reason not to do them is the friction — and the friction is what we eliminate.

What we deliver

What our AI meeting assistant handles

Standard scope. Custom scope available on the audit.

🧠

Pre-call briefing

Pulls CRM history, recent emails, LinkedIn, web research. Delivers a 30-second briefing card 30 min before the call.

🎯

Live transcription + tagging

Live transcript with key-signal tagging (budget, timeline, objections, decision-maker mentions). Highlights action items as they happen.

✓

Recap + CRM update

Within 5 min of hangup: recap with action items, CRM contact + deal updated, lead score adjusted, next-action recommended.

✏️

Drafted follow-up

Personalized follow-up email drafted in your voice with action items and clear next step. You review, edit if needed, send.

Engagement model

From audit to live AI meeting assistant in 4 steps

Same engagement shape as every digicore101 build. Predictable timeline, predictable cost, no scope creep.

017 days

AI Audit

90-min strategy session, traffic + conversation review, agent persona design, costed roadmap.

·Persona doc
·Voice & tone guide
·Cost + timeline lock

025–10 days

Voice Training

Trained on your real meeting assistant interactions (last 6 months). Shadow drafts reviewed by you.

·Voice match approval
·Edge cases mapped
·Escalation rules signed off

032–3 weeks

Build & Deploy

Live deployment with daily founder review for first 14 days. Confidence threshold + escalation gates active.

·Live agent
·Daily-review dashboard
·Team training session

04Ongoing

Tune & Support

Retainer keeps the agent improving — voice updates, new edge cases, performance reporting.

·Slack channel
·Weekly tune cycle
·Monthly reporting

The math

Manual meeting workflow vs AI meeting assistant

A team booking 60 calls/month spends roughly 50 minutes per call on prep + recap + CRM update + follow-up — when they actually do all four. AI compresses that to 6 minutes of human review.

✓Manual workflow: ~50 min/call · 60 calls/mo = 50 hr/mo founder time

✓AI workflow: ~6 min/call · 60 calls/mo = 6 hr/mo founder time

✓Net recovered: 44 founder hours/month at no incremental tooling cost over the build

✓Plus: 38% higher follow-up rate compounds revenue from the same call volume

Founder time per call

Manual workflow50 min

Prep + transcribe + recap + CRM + follow-up

Otter / Fathom only32 min

Transcription saved · rest manual

Full AI assistant6 min

AI handles all 4 stages, you review

The math

−44 hr/mo

at 60 calls/mo cadence

AI vs transcription tools

How a full AI meeting assistant compares to transcription-only tools

Honest comparison. We will tell you when the human is the right call.

CapabilityOtter / FathomAI meeting assistant

Pre-call prepManual · 5–10 min/call · skipped 60% of the timeAutomated · briefing card 30 min before

Live transcriptionOtter / Fathom · transcript onlyTranscript + signal tagging + action items

RecapManual · 15 min · written 2 days later if at allDrafted within 5 min of hangup

CRM updateManual · 10 minAutomatic · contact + deal + activity

Follow-up emailManual · written hours laterDrafted at hangup, you review + send

Time per call~50 min total workflow~6 min total workflow

Recent meeting assistant work

How real teams used this

Names anonymized where requested.

Sales

B2B founder · 80 calls/mo · −58 hr/mo

Founder running outbound. AI prep + recap + CRM + drafted follow-up. Time per call dropped 50→6 min. Close rate up 11% on better-prepared calls.

80 calls/mo−58 hr/mo+11% close

Coaching

Coach · client session loop

AI captures action items live during sessions, drafts client follow-up, updates CRM with progress notes. Founder client-prep dropped from 15 min to 2 min per session.

Action items live−13 min prepClient recap

Investor calls

Founder · investor pipeline tracking

AI tags every signal in investor calls (interest, objections, next-step requests), updates CRM, drafts follow-up within hours. Pipeline hygiene went from "memory" to system of record.

Signal taggingPipeline hygieneInvestor CRM

Agency

Agency · client meeting recap automation

Agency runs 40+ client meetings/wk. AI recaps go to client + internal team automatically. Saved 26 PM hours/week.

40 mtg/wk−26 PM hr/wkAuto recap

When this fits

Honest scope — and who shouldn't engage

AI meeting assistants compound at meeting volume + when follow-up is the failure point.

✓ Engage when

You take 30+ calls/month
ROI clear at this volume. Below it, the build cost takes longer to pay back.
Follow-up is your failure point
Drafted follow-up at hangup is the single highest-leverage feature.
Your CRM gets updated 2 days late or never
Real-time CRM update is what makes pipeline forecasting actually work.

✗ Don't engage when

You take fewer than 10 calls/month
Manual workflow is tolerable at this volume. Skip until you are over it.
Your meetings are highly confidential
Therapy, legal, M&A — possible but adds compliance overhead. Often not worth it.
You hate AI in your inbox
Some founders refuse drafted follow-ups. We can build prep + recap only without drafting.

Pricing

AI Meeting Assistant engagement tiers

Scoped lock — fixed deliverable, fixed price. Audit credit applies to any tier.

Quick Setup

$497one-time

Lean install. Single agent, single channel, founder-trained voice match in week one.

✓Single channel deploy
✓Voice match training
✓Team training (1 hour)
✓14-day stabilization

Start lean→

Questions before we start

How is this different from Otter or Fathom?+

Otter and Fathom are transcription-first — they record and produce a transcript. We build the full loop: pre-call brief, live signal-tagging, post-call recap, CRM update, and drafted follow-up. They handle one part well; we handle the workflow end to end.

Does it integrate with my CRM?+

Yes — HubSpot, GoHighLevel, ActiveCampaign, Pipedrive, Salesforce, and Digicore AI natively. Custom CRMs via API in 1–2 weeks of additional build time.

Will the people I meet with know it is recording?+

Yes — best practice is always to disclose. We typically build automatic disclosure into the meeting invite ("This call may be recorded and transcribed for follow-up notes"). Some compliance regimes require explicit verbal consent at call start; we configure for that.

What does it cost?+

Quick Setup $497 + $97/mo (transcription + recap, single CRM). Full Build $1,997+ + $197/mo (full loop with prep + signal tagging + drafted follow-up). Bundled with Digicore AI for $0 marginal at the Standard tier.

How long until it is ready?+

Typical 1–2 weeks. Week 1: CRM integration + voice training for follow-up drafting. Week 2: live deployment with daily review for first 5 calls.

Keep exploring

Where AI Meeting Assistant fits in the bigger picture

Most engagements layer 2–3 platforms with a service shape. These pages map the surrounding territory.

Ready when you are

Ready to scope your AI Meeting Assistant build?

Book the free AI System Audit. We map your stack, find the leaks, and deliver a build roadmap in 7 days. Vendor-neutral.

Book the free audit→See pricing →