Somebody on your side of the table reads the quote.
A senior AI and technology lead on retainer, for a firm that needs the judgment without a full time hire. Your AI plan kept on course, vendor quotes reviewed, decisions made and written down, and a small team hired and trained when you need one.
Priced after the free review.
Your firm still gets its own written quote after the free review, and the final price is agreed in a signed agreement. These are starting points, so nothing in the quote is a surprise.
Fractional AI and technology lead
A senior lead on retainer for set days a week. Vendor quotes read like for like, decisions written down, a small team hired when you need one.
Quoted per project
US dollars, October 2026. Monthly plans are month to month. Prices shown are starting points. Larger builds are quoted per project, and the final price and payment terms are set out in your signed agreement.
What owners tell us before they call
I am signing off on technology decisions I do not understand.
Three vendors, three different quotes, and no way to tell who is right.
We hired a developer and he left with everything in his head.
We have an AI plan and nobody to run it.
In plain terms.
Two vendors quote the same job and the numbers come back a factor of three apart, both of them explained with confidence. Nobody in the building has the job of working out which one is right, so the decision goes to whoever presented best, and the owner signs because there was nothing else on the table.
A fractional lead gives you that something else. A senior engineer from our team, used to running production systems, sits on your side of the table, reads the quotes line by line, asks vendors the questions you did not know to ask, and writes down what was decided and why. The written record is what pays off a year later, when the person who made the decision has moved on and the reasoning is still on file.
AI is now most of the agenda. Your lead keeps the AI plan current, weighs new tools against it, sits in on vendor demos, and makes sure what gets built follows your AI use policy. Everything is recorded the same way, so after every meeting you have something in writing to act on.
Three quotes in, one decision out.
Put on one scale, the quotes become comparable and the missing section shows. What leaves is a page with the decision and the reason on it.
Drag the drawing sideways to see all of it.
- The signal, it holds: the three quotes read on one scale, and the written record that leaves
- Red, it breaks: the part of the scope quote B leaves out, which is why it looked cheaper
How a project runs, in order.
A written quote before anything starts, and you watch it work on your own data before it goes live.
- 01 / 04
A half day assessment
Your systems, your contracts, your risks and your people, ending in a written roadmap you own. It is credited in full against any project booked within thirty days. Firms that want the deeper look at AI start with AI readiness and policy, and the retainer picks up from its plan.
- 02 / 04
Decisions get made and recorded
What we are doing, what we are leaving for later, what it costs, who owns it. In writing, so it survives a staff change.
- 03 / 04
Vendors get managed
Quotes read properly, scope compared like for like, and somebody technical in the room when they present.
- 04 / 04
People get hired and trained
When you need a team, we help you build one: the roles written, candidates assessed alongside you, and new hires trained on your own systems.
How we scope it.
The details that shape the plan and the price, set out before you call so the quote holds no surprises.
- 01
The retainer covers technology leadership and AI decisions. Day to day IT support and help desk work stay with your IT provider, and your lead works alongside them.
- 02
A retainer is a set number of days a week, agreed in writing. Extra work is quoted as its own line before it starts, so the monthly cost stays predictable.
- 03
Findings are written plainly. Sometimes that means confirming the vendor you already like, or advising against a change that would not pay for itself.
Firms we build this for.
Where we have a page written for your industry, the chip links to it.
- Owners of small and mid sized businesses
- Managing partners of professional firms
- Family businesses modernizing
- Founders between technical hires
- Professional firms whose systems have outgrown their IT vendor
More of what we build.
Four ways we put AI to work in a firm, and the systems work behind them.
AI that talks to your customers
An AI phone line and a talking website guide that answer from your own documents, day or night, and pass the details to you.
AI that does the work
Agents and integrations that take the retyping, the portal filings and the document intake off your staff.
Private AI
The AI your staff want to use, on a machine in your office or in your own cloud account, with access by role.
AI strategy and leadership
A written plan for where AI pays off, a policy your staff can follow, and a senior lead to keep it on course.
- AI readiness
- Fractional AI lead (this page)
Systems that stay up
Live streams built to stay on air when a camera dies or the internet drops.
Start with a task from your business.
Show our engineering team the workflow and the applications involved. We agree a scope, access requirements and a practical next step before implementation.