Team workshops
Half-day and full-day sessions at your premises, ours in Seaford or online, built around the jobs your team actually does: replying to customers, writing quotes and proposals, producing content, finding things in a mess of files. Before the day, we look at how the team works now, so the session starts with your jobs, not ours. Everyone works on their own tasks and leaves with real work done and their best prompts saved, not a certificate. We’ll run it in Brighton, Eastbourne or wherever your team is.
Founder mentoring
The owner has different questions: where AI pays first, what to build and what to buy, how to bring it in without frightening the team. Mentoring is a running conversation about your decisions, with your numbers. If a supplier’s pitch is nonsense, we’ll explain why without naming names. Dan, our founder, was Head of Online Marketing for Toshiba in Northern Europe, then built and ran his own businesses before four years in AI, so the commercial questions get as much time as the technical ones.
Ongoing coaching
A workshop gets people started; coaching makes it stick. Regular sessions pick up wherever the team got stuck, add the next job to hand over to AI, and check what’s actually saving time. Each session ends with one job the team will hand over before the next. The tools change constantly, and when they move, we move that week and bring your team with us, so nobody is left using last year’s way of doing things.
Guardrails your team can follow
We write your team’s rules down in plain English, so nobody has to guess: what can go into an AI tool and what never does, which jobs need a person to sign off, and how to check an answer before it reaches a customer. Customer data, prices and anything confidential get rules of their own, because one spreadsheet pasted into the wrong tool can undo a lot of trust. It fits on one page, it’s agreed with you, it’s taught in the workshop and it’s kept up to date.
Training on what we build
Every agent, automation or platform we build comes with training for the people who’ll use it, on the real system rather than a slide deck. Your team learns to run it, check its work and change the simple things themselves, with short plain-English notes for whoever joins next. When the next job comes along, they can tell you whether AI should do it. That’s the difference between a tool that gets used and a tool that gets paid for. And when we hand over, none of the know-how walks out of the door with us.
