Honest answers to the questions that decide yes or no.

Pricing is matched to your scope and the offer you self-select on /services: there are four ways to work with me, ascending by size and by what you want, with no published price. Whatever you take is agreed in the scope of works, sized to your business on the call, and the flagship runs month to month, so the engagement re-earns its place every four weeks. The honest reality check on whether it is worth it: an underperforming Revenue Engine is usually bleeding more in lost pipeline and team time on outbound that doesn't convert than the engagement itself costs.

Yes. Let's not rush a budget call today. What I'd suggest is we spend 60 minutes mapping what the engagement would look like for you, then time it for whenever the budget unlocks. That way when you do greenlight it, day 1 is already planned. No wasted ramp. The strategy session is the wedge, not the ask.

Honestly, the busier you are, the better the time to start. Life always has busy seasons. If we can't make this work during one, the partnership wouldn't last anyway. The work is built for owners who are already underwater. I take on the heavy lifting, with a few hours from you in week one, dropping fast.

Could be. The honest answer is the engagement only pays back if we can move you from current revenue to roughly 3-5x within the year, and that needs a base to scale from. If the base isn't there yet, we shouldn't be in a partnership. I'll refer you to skills training or a smaller-scale operator instead. Let's start with a quick call.

Fair check. The case studies on the site are public-facing. What's not public is the FTSE 250 and Lidl-scale work I led before Styfinity. £60M annual profit lift at FTSE 250 scale, growth strategy for Lidl that drove £1.7B in revenue. The framework scales up. Pricing matches the scope of the engagement. Find what fits at /services and we'll scope a bespoke proposal for enterprise-scale work.

That setup is usually the problem, not the solution. You are paying for hands and still doing the thinking, the chasing and the vendor management yourself. I replace that layer with one senior operator who builds and runs the entire engine, outbound, content, conversion assets, lifecycle email, video, paid media and search, as working parts of one machine reporting into one set of numbers. Yours. The point is not another vendor on the stack. The point is you stop managing vendors altogether, and just take the calls.

Tony Stark's Iron Man suit is only good because Tony's a genius. The suit without Tony is just metal and code. AI doesn't replace your judgement, it accelerates it. Without you in the seat, AI is a glorified search engine. With you in the seat, it's a force multiplier. We deploy AI behind your judgement, not in front of it.

Two things. One, the engagement ships work every week from the start, so beginning now means the first pages, sequences and tests are live while next quarter is still a plan. Two, engines compound: the sooner the first parts are running, the sooner the data starts earning. Starting Q1 with momentum beats starting Q2 with a plan.

Fair. Quick gut check. What specifically would you need to think about? Sometimes it helps to talk it through with the person who knows the most about it. If you and I sat in silence for 5 minutes, what would you decide? My guess is the same thing you're going to decide tomorrow, next week, next month. Why not save the time?

Yes. Quick first though, what's the part you most want to see in writing? I'll make sure that's front and centre. Pick the offer that fits at /services, then let's book the follow-up to walk through the full pack. The proposal lands same-day with the scope of works, the month-to-month terms, and the ownership clauses baked in. No proposal-dies-in-inbox.

Smart concern. Three things. One, every agent runs inside your existing tools. CRM, Slack, Google Sheets. Data doesn't leave your environment. Two, we follow the lethal-trifecta rule. Any agent handling untrusted data doesn't also have private-data access and outbound communication. Three, every workflow has a verifiability layer. Outputs get checked before they ship to a customer.

Both fair concerns. AI does the volume. Your judgement picks the targets. AI drafts the messages. You sign off on send. Every customer-facing workflow has a human-in-the-loop checkpoint by default. The fully-autonomous version comes much later, only after the human-checkpoint version has produced enough data to quantify the failure rate. Most clients never go fully autonomous.

Most owners don't feel ready. The ones that scale didn't wait. The ones that waited usually waited until the business plateaued and the decision became forced. Question for you. If you don't move on this in the next 90 days, what's the realistic state of the business in a year? Better, same, or worse?