How one sales organization put $7.85M through a single command centre in nine months, and closed 30% more deals per campaign
An operational diagnostic found the real constraint wasn’t leads or AI. It was the twenty minutes of manual work between a customer saying “yes” and the money being collected. We removed it.
booked through the platform in its first nine months
deals processed end-to-end
booked in a single 10-day campaign window
more deals closed per campaign, reported by the Head of Sales
A personal-development education company, referred to here as the Client’s Sales Team. Launch-based revenue, programs from $1,997 to $29,997.
Campaign sales operations spread across five systems and hand-built spreadsheets; every deal meant manual payment math, checkout links, contracts and tracking.
Operational diagnostic (August 2025) → custom sales command centre, in production three weeks later.
$7.85M booked through the platform in nine months across three campaigns. The Head of Sales reports 30% more deals closed per campaign.
A quarter’s revenue, closed in days.
The client sells coaching and education programs through quarterly launch campaigns. A campaign compresses months of revenue into days: hundreds of sales conversations, deposits, scholarships, payment plans and contracts, all closing inside a short window. The sales organization, 20+ people under a Head of Sales, ran on GoHighLevel (CRM), Kajabi (course delivery), Stripe (payments) and Zoom (sales calls). Holding it all together: spreadsheets.
An AI implementation roadmap. The expectation, reasonable in 2025, was that the next lever was AI: agents, content automation, more top of funnel.
The constraint was not lead volume.
The audit’s blunt heading was “Extensive Manual Workload and ‘Spreadsheet Madness’”, and its blunt sentence was: “Most operations are run manually through different spreadsheets.”
It was operational drag at the exact moment of closing. During a campaign window, a deal that isn’t collected within hours goes cold, and every closed deal triggered five manual workflows across five systems: work out the payment math, create a checkout link, send a contract, update the CRM, update the tracker. Roughly twenty minutes of manual handling per closed deal, across payment calculation, checkout, contract and tracking. Sixty-plus hours of manual work per week, company-wide, concentrated where speed mattered most.
columns wide on one dashboard sheet: nine months of reporting pasted side by side, rebuilt by hand every month
of booked revenue administered this way in 2025, with roughly half the cash floating as untracked receivables
different free-text date formats in a single payment-date column
of lead rows had no status at all; 13 contacts entered twice; refunds existed only as prose in a notes field
The cheapest work we did was the work we refused.
A previous attempt to move off Kajabi had already cost the company $60K+ and failed; 65,000 customers of engagement history live there. We built around it.
GoHighLevel stayed. The command centre is connective tissue, not another platform to migrate to.
Stripe stayed; we automated its orchestration.
Mid-engagement, the data showed the two-role commission model was fiction. In 596 of 600 deals the opener and closer were the same person. We deleted it.
The Sales Command Centre.
One application between the CRM, the payment processor and the course platform, running the complete sales lifecycle on a single source of truth.
AND CHECKOUT
Pay-in-full or 2–9 instalments with automatic interest math, scholarships (including reverse calculation from a target monthly payment), deposits, setup fees, custom multi-phase schedules and a live agreement preview. Submit the deal and a checkout link exists while the customer is still on the call; expired links regenerate themselves nightly.
Card, wire (auto-generated PDF invoice) and crypto available on every deal. Contracts are generated and status-tracked automatically, on every deal rather than on 8 rows in 309.
Real-time totals, collection rates, per-rep leaderboards and per-instalment receivables in one view, with exports for accounting. Cash that used to float untracked is visible by instalment.
Product- and campaign-specific rates computed to the cent, self-serve PDF invoices for closers, and a 7-day cooling period enforced by the system rather than by memory.
Campaign and revenue reports assemble themselves from the live database, and a 23-stage funnel is tracked across 21,000+ contacts and 87,000+ events. Wire and commission invoices generate on demand as finished PDFs. The monthly rebuild by hand is gone.
CONTENT DELIVERY
A recorded call becomes a published lesson without a person in the middle: the recording is transcribed, cut and formatted, then uploaded to the course platform.
The client asked for AI and received it, in the places where it pays. Models transcribe and structure sales calls, turn a raw recording into a formatted lesson ready for upload, and read the transaction record to draft the reports and invoices that people used to assemble by hand. Everything a model produces lands in the same database as the deals, so the numbers on the dashboard and the numbers in the report cannot drift apart.
CRM
COURSES
PAYMENTS
CALLS
WORKFLOW ENGINE · EDGE FUNCTIONS · SCHEDULED JOBS
Diagnostic delivered
First commit
Production
First live deal
First full campaign ($1.6M in-app)
Three tiers of evidence, kept apart on purpose.
IN TEN DAYS
PEAK DAY · MAR 3, 2026
The Head of Sales attributes 30% more closed deals per campaign to the removal of process friction: deals that previously cooled during manual handling now close inside the call.
We don’t publish an hours-saved figure. The audit measured 60+ manual hours per week before; the after-state was never formally re-measured, so we claim the eliminated workflows, not a synthetic number.
Campaign revenue depends on offer, list and team. We claim the removal of friction; the 30% figure is the Head of Sales’ own assessment, published with the client’s approval.
“I’ve never seen a better sales app. Deals that previously cooled during manual handling now close while the customer is still on the call.”
HEAD OF SALES
CLIENT’S SALES TEAM
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Figures marked as measured are drawn directly from the platform’s production database (data through July 24, 2026) and the client’s original spreadsheet exports. Client-reported figures are attributed statements by the client’s sales leadership, published with approval.