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What These Systems Look Like When They're Actually Running.

I could describe what I do in theory. But the clearest explanation is usually a story — what the business looked like before, what we built, and what changed. Here are a few of them.

Case Study 01 · GoHighLevel Agency · United States

He Was Following Up With Every Lead By Hand. Through His Personal Email.

$150K
New Pipeline
<2min
Response Time
12hrs
Saved Per Week
3.2×
ROI
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$150K
Pipeline Generated
<2 min
Response Time
12 hrs
Saved Per Week
3.2×
ROI
The Situation

The founder of a US-based GoHighLevel agency had built something real — a growing client base, a solid service, a team that knew what they were doing. But somewhere along the way, lead management had become entirely his personal responsibility. Every new inquiry came into his email. He replied personally. When things got busy — which was often — responses took six hours. Sometimes a full day. A few leads never heard back at all. He knew it was costing him. He estimated he was losing two or three deals a month just to slow follow-up.

What We Built

We started by mapping the full lead journey — where leads came from, what information existed at the point of capture, what a good response sequence actually looked like. New enquiries now trigger an automated SMS within two minutes, followed by a personalised email sequence over the next seven days. The pipeline stage updates automatically at each touchpoint. A weekly dashboard lands in his inbox every Monday morning with a full overview.

What Changed

$150,000 in new pipeline within ninety days. Response time went from six hours to under two minutes. The team reclaimed twelve hours per week. And for the first time since launching, the founder took a Friday off without his phone anxiously close by.

Case Study 02 · Physiotherapy Practice · United Kingdom

60% Fewer No-Shows. And the Front Desk Finally Breathed.

60%
No-Show Reduction
3hrs
Daily Time Recovered
6wks
Turnaround
£000s
Revenue Recovered
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60%
No-Show Reduction
3 hrs
Daily Time Recovered
The Situation

A physiotherapy practice in the UK was losing a significant slice of revenue every week to no-shows. Patients booked appointments and simply didn't turn up — partly because the reminder process was manual, inconsistent, and dependent on whoever had time that day. The front desk was spending two to three hours daily on confirmations, rebooking, and chasing.

What We Built

A full patient communication and booking system built on GoHighLevel. Automated appointment confirmations at booking. An SMS reminder sequence at 48 hours, 24 hours, and 2 hours before each appointment. A simple one-tap confirmation link that updated the CRM automatically. For patients who missed without cancelling, a reactivation sequence fired within an hour — friendly, personal-sounding, and handled entirely by the system.

What Changed

No-shows dropped by 60% within the first six weeks. The front desk recovered two to three hours daily. Revenue per week increased because the appointment slots that used to sit empty were now filled — either confirmed in advance or rebounded quickly.

Case Study 03 · Digital Agency · Nigeria

An AI That Knows the Business. Qualifying Leads at 3am.

40%
Fewer Unqualified Calls
24/7
Lead Qualification
<3mo
Build to Launch
100%
After-Hours Coverage
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AI Chatbot System
Live conversation handling, 24/7
The Situation

A Lagos-based digital agency was fielding enquiries across WhatsApp, email, and Instagram DMs — manually, inconsistently, with long response gaps that made the agency look less capable than it was. The bigger issue: a lot of incoming enquiries weren't a good fit. The team was spending time on discovery calls with people who weren't ready, couldn't afford the service, or needed something outside the agency's scope.

What We Built

A RAG-powered AI chat system trained on the agency's full knowledge base — services, pricing philosophy, portfolio, FAQs, client types, process. The assistant could hold a real conversation about the agency's work, ask the right qualifying questions, and either book a discovery call for qualified leads or politely redirect those who weren't a fit. Connected to GoHighLevel so every qualified chat led directly to a pipeline entry and an automated pre-call sequence.

What Changed

Discovery call volume dropped by 40% — but the quality of those calls went up dramatically. The team stopped spending time on the wrong people. And enquiries that came in overnight were being handled properly by morning, with qualified leads already booked.

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I take on a small number of new projects each quarter. If your business has a systems problem that's costing you time, leads, or your evenings — book a call. We'll figure out together what the fix looks like.