You will get AI Call Intelligence System
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Project details
The bottleneck in high-ticket sales is rarely the closers. It's that nobody can review enough calls to know what's actually working.
A 50-rep sales floor produces thousands of calls a month. Manager review touches maybe 5–10%. The patterns that decide whether revenue grows or shrinks — missed objections, under-handled pain, the moments closers go off-script — stay invisible at the floor level.
I build the AI system that scores every call, surfaces the patterns automatically, and turns coaching from gut feel into something backed by data.
What's included:
Audio-to-transcript pipeline — automated capture from Zoom, Aircall, Dialpad, Gong
Multi-category rubric scoring — calls evaluated with category scores and reasoning
Objection detection — automatic tagging of objections raised, handled, and missed
Performance reports — per-rep, per-team, per-script trends over time
Coaching insights — specific, time-stamped coaching points generated per call
CRM integration — scores pushed back to HubSpot, GHL, or your CRM
Stack: OpenAI/Anthropic models, n8n, Postgres, Metabase.
Recent results: ~$48K/month in revenue surfaced from patterns invisible at the floor level.
A 50-rep sales floor produces thousands of calls a month. Manager review touches maybe 5–10%. The patterns that decide whether revenue grows or shrinks — missed objections, under-handled pain, the moments closers go off-script — stay invisible at the floor level.
I build the AI system that scores every call, surfaces the patterns automatically, and turns coaching from gut feel into something backed by data.
What's included:
Audio-to-transcript pipeline — automated capture from Zoom, Aircall, Dialpad, Gong
Multi-category rubric scoring — calls evaluated with category scores and reasoning
Objection detection — automatic tagging of objections raised, handled, and missed
Performance reports — per-rep, per-team, per-script trends over time
Coaching insights — specific, time-stamped coaching points generated per call
CRM integration — scores pushed back to HubSpot, GHL, or your CRM
Stack: OpenAI/Anthropic models, n8n, Postgres, Metabase.
Recent results: ~$48K/month in revenue surfaced from patterns invisible at the floor level.
What's included $2,000
These options are included with the project scope.
$2,000
- Delivery Time 4 days
- Number of Revisions 0
About Tolu
RevOps Architect | HubSpot | GoHighLevel -GHL | Sales Automation | n8n
100%
Job Success
Ogun, Nigeria - 1:57 am local time
After working with 8-figure teams, I realized the real bottleneck wasn't effort. It was systems.
So I made the switch.
Now, I build RevOps systems that make sales teams faster, cleaner, and far more predictable. From automated tracking and call scoring to pipeline visibility and workflows that don't fall apart when someone forgets to update a spreadsheet.
My focus is simple: turn messy sales operations into structured, revenue-generating machines.
If it involves GHL, automation, data, or fixing things that almost work but never quite do — I'm already on it.
Steps for completing your project
After purchasing the project, send requirements so Tolu can start the project.
Delivery time starts when Tolu receives requirements from you.
Tolu works on your project following the steps below.
Revisions may occur after the delivery date.
AI Call Intelligence System
Score every sales call with AI. Coaching insights surfaced at scale.