Everyone has tried ChatGPT. Almost nobody has rolled it out properly.
Most business owners have had the AI pitch and tried a few chats. A smaller number pay for a subscription. Almost none have rolled it out across the business in a way that actually changes how the work gets done.
That is a shame, because the businesses that get it right are quietly pulling ahead. Not because the AI is doing anything magical, but because they have taken the mundane, repetitive parts of the work and pushed them off the people who used to do them.
A training day, then about three weeks of implementation
We do not hand you a login and wish you luck. We train your team and build the working system in the same rollout.
A usage policy first, not last
Before anyone pastes customer data anywhere, we write a one-page AI policy your leadership can sign off in a morning. Five rules that fit on a postcard. It is what lets people move quickly without worrying.
Shared Projects with your brand baked in
Instead of everyone starting from a blank chat, each team gets its own Project loaded with role-specific instructions and your tone. Every conversation inherits the rules for free. No re-explaining who you are every time.
Automations that do the boring bit
The repeated manual jobs get pushed off your team. A shared inbox that drafts its own replies from your order data. Research that lands before the sales meeting. Reports that build themselves overnight.
One shared way of working
The reason most rollouts fail is that AI is treated as one person’s tool, not a system the business runs on. We set it up so everyone in a team works the same way, from the same templates. Consistency is what makes it stick.
A UK skincare brand, clawing back a day and a half a week
A direct-to-consumer skincare brand selling on Shopify and to trade through wholesale. Customer service ran through a shared inbox where two people spent the first 90 minutes of every day triaging, then drafting replies one order lookup at a time. The weekly marketing dashboard was built by hand, three hours every Monday. We rolled AI out one team at a time, with a policy behind it.
Numbers reported conservatively. Cold-outreach open rates are up on early data, but we want another 90 days before we quote a firm figure. We would rather under-promise.
They treat AI as one person's tool, not a system the business runs on. Everyone reinvents their own way of using it. Some get good, most get frustrated, nobody agrees what good looks like. We set it up so a whole team works the same way, from the same templates. That consistency is what makes it stick.
They skip the policy because it feels bureaucratic. That is a mistake. The moment someone pastes a customer database into a chat because they were in a hurry, you have a problem. The policy is what lets everyone move fast with confidence.
AI training, answered plainly
What does your team lose to repeated manual work?
A 30-minute conversation, not a pitch. Tell us where the week goes and we will tell you honestly what AI could take off your team, and what it could not.