GTM systems
I sell employer-funded AI apprenticeships to UK enterprises. A typical week is 6 to 10 discovery calls, 3 or 4 concurrent enterprise cycles, and a mock presentation before any pitch. The rest of this page is how the engine behind that works.
How I work
Everything gets measured, logged and turned into a framework that anyone else can use. When a channel works once, I write a playbook. When it fails, I write down why and set kill criteria before trying again.
The distinctive part is that the engine itself runs on AI. Claude Code and OpenClaw drive my enrichment, campaign builds and CRM hygiene, with approval gates where a human should stay in the loop. Campaigns that used to take an afternoon get built in minutes, which means the scarce resource goes back to being judgement.
Things I’ve built
- A design partner qualification framework that scores actions, never compliments
- An outbound audit across 100+ campaigns that changed our channel strategy
- A re-engagement workflow that turned dead leads into booked calls, now a standing system
- A workshop talk circuit that works as top-of-funnel for enterprise deals
Case studies
A 30-day sales-coaching loop that forces a verdict
Shipped a sales-coaching automation that turns call notes into a 30-day control review rather than another pile of notes. It classifies each account as Advance, Test, Nurture or Kill, then rolls the week into a seven-section board for what to repeat, change and tell leadership.
Read the case studySixty dead leads, three booked calls, one standing workflow
Took month-old dead enterprise leads, ran a small re-engagement campaign, reported the numbers, and turned the result into an automated standing workflow the team adopted.
Read the case studyAI in Action: a live event built as a working funnel
Co-hosted a London event with Women in Tech UK featuring an Amazon product leader: fireside, a gamified AI-or-human challenge, live demos, and an event page I built that my employer shipped on their own domain.
Read the case studyBuilt by a non-developer: the 14-agent system that runs my GTM
Fourteen agents brief my meetings, keep my CRM honest, build campaigns from account data and review my sales calls. Built in three months with no technical background.
Read the case studyAuditing 100+ outbound campaigns and letting the data pick the channel
Pulled every campaign through the Lemlist API. LinkedIn invites were accepted at 12 to 16% while cold email replied at 1%, and over 4,000 sends were going to buyers who could never purchase.
Read the case studyA qualification framework that scores actions, not compliments
A 10-point design partner qualification system built during my EIR stint at Antler: pass/fail critical filters, weighted scoring, red-flag overrides, and weekly calibration against real outcomes.
Read the case studyTalking to your team about AI capability?
If you're weighing up how to make a workforce properly AI capable, I'm happy to compare notes. No pitch unless you ask for one.
Email me