How we work with you: Audit. Build. Train. Support.
The goal, always, is to prepare you for the future. We start with an AI Audit, build you a roadmap that we can execute with your team, prototype and ship the kit in our build phase, train your team to run it (and more widely, how to actually make use of practical AI tools), and we'll stay reachable on the terms you want.
Two paths run alongside that arc. Custom MCP for teams with a sharp brief who already know what they need. Agent UX for the customer-facing side, where your visitors are now arriving via AI Search and their own agents.
And underneath all of it sit the three practices we get asked for most: SEO consulting, research automation, and audit automation - each one running today on systems you can inspect.
Audit. Build. Train. Support.
The four phases most engagements run through. The work in any one phase is sized to your team. Some engagements stop at The Audit. Some run all four. Either is fine.
AI Audit
Most company owners can feel the AI opportunity now. Beyond the rhetoric, what's actually possible with today's tools in a business like yours, this quarter?
Read the briefThe Build
You've decided to build. The harder question is how, and how to know it will work on your real data before any of it ships.
Read the briefAI Training
You can be brand new to all this. The smart money in 2026 is in learning to direct AI on your actual work, not someone else's example data.
Read the briefFractional AI Lead
By now we know your team. The Fractional AI Lead is how we keep the relationship going, on the terms you want.
Read the briefSEO. Research automation. Audit automation.
The work buyers most often arrive asking for. Each practice runs on our own systems first - you can inspect the instrument before you buy the engagement.
Search run through our own network and our own instrument.
We run SEO across our own portfolio of sites and audit with SEO Audit Console - our proprietary tool that merges your Search Console history with a crawl and prices every finding by expected clicks per developer-hour. Not a reseller's report; an instrument we built and use daily.
Standing research systems, not one-off reports.
Pipelines that watch a market and keep the answer current: live job-market intelligence, competitor and content monitoring, benchmark suites that re-run themselves weekly. Our research pages are the public face of the same systems we build for clients.
The checks your team does by hand, running on a schedule.
Compliance, quality and technical audits as deterministic-first engines with human review - including a financial-promotions compliance console currently in pilot with a regulated network, built to cite verbatim evidence and never overclaim.
Where to start, depending on where you are.
Five conversations we have most often. Find the line that sounds like your team and follow it through.
- "We're not sure where AI fits yet." Start with The Audit. Most teams who arrive here do. →
- "We have a board mandate to do something." The Audit, then The Build. The Audit becomes the paper for the board. The Build is the answer. →
- "We have a sharp brief and want to ship." Custom MCP if it's a single tool. The Build if it's a system. →
- "Our customers are starting to use AI to find us." Agent UX, alone or alongside The Build. →
- "We've already built something and want help running it." Fractional AI Lead. →
- "Our team burns days on manual research and reporting." Research automation, scoped through The Build - a standing system, not another report. →
- "We audit things by hand - compliance, quality, SEO." Audit automation. The Audit finds the expensive checks; The Build turns them into a scheduled engine with human review. →
How do these six products fit together?
Most engagements follow a four-phase arc. We start with The Audit (where AI fits in your business), ship the kit in The Build (prototype to deploy), train your team to run it (AI Training), and stay reachable on the terms you want (Fractional AI Lead). Two specialist paths run alongside that arc. Custom MCP for teams with a sharp brief who already know what they need, and Agent UX for the customer-facing side, where your visitors are now arriving via AI Search and their own agents. Some engagements use one product. Some use all six over a year or two. The arc is honest, not prescriptive.
How do you scope an engagement?
The calls are our favourite part, because we get to learn from each other. You'll get a great taste of what's possible by seeing how we use AI to get things done, rather than the rhetoric (we use alliteration on occasion if you've spotted that). We'll listen for the work that is actually expensive in your business, sketch the shape of an engagement that would address it, and follow up with a written scope. Pricing depends on what the engagement turns out to be. We do not have a price list because no two engagements have ever looked the same.
Will you sign an NDA?
Yes. Mutual NDAs are normal for the kind of conversations we have early on. Happy to sign yours or send ours.
Do you work with teams outside the UK?
Yes. The work travels well. Most of the engagement is remote, with optional on-site for the audit and the handover. We have built for clients in the US, Europe and Australia.
Forty-five minutes. No pitch deck.
We'll show you some interesting ideas, then we'll zero in on your specific challenges. If you're as excited about all of this as we are, we'll assemble a proposal.