Future Proof CONSULTING Book a consultation
FPC·001 Remote AI enablement for software teams Isle of Man · UK · Remote

A team of eight that ships like twelve.

We get software teams working properly with AI: adoption that sticks, numbers your board can trust, and a plan for the hours it frees. Run entirely remotely, by two engineers who hold this exact job inside companies today.

£2,500 · senior level · a straight recommendation. If you don't need us, we say so.

The situation

Your team has AI licences.
Something is off.

Maybe the licences sit unused, because nobody senior has said out loud that using them is allowed and expected. Maybe three developers live in Claude, five have never opened it, and code review has quietly become the bottleneck. Or adoption went fine, the backlog burned down in a month, and the team now has spare hours that nobody feels confident enough to spend on the infrastructure work you actually need done.

We watch this happen from the inside. Both of us hold staff roles that were invented for exactly this problem: companies that knew AI mattered, had no idea who should own it, and created the job on the spot when they found someone who could. This consultancy is that job, offered as an engagement instead of a hire.

That last number is the whole business case. Adoption is the easy half. Deciding what the freed capacity is for, and giving the team the confidence to use it on platform and infrastructure work, is the half that pays for itself.

The work

Three engagements.
Each one earns the next.

The Consultation

First step · fixed
£2,500

Both of us, senior level, on how your team ships today: the workflow, the tooling, who uses what and where the hours go. Then a straight recommendation. Either the programme would pay for itself and we show you the numbers, or you don't need us yet and we say so. No workshops, no homework, one decision made.

Start here →

The Retainer

Monthly · rolling
from £2,000/mo

Office hours for the team, a monthly briefing on what changed in the tooling and what to ignore, and a quarterly re-measure so the numbers stay honest as models and prices move.

After the programme →

Everyone starts with the consultation. It is priced so the decision needs one signature, and the recommendation is yours to act on with or without us.

Remote, properly

Remote is the product,
not a compromise.

AI-assisted development is async by nature. An engagement that happens in your Slack, your repos and your ticket queue teaches the team in the exact medium they'll work in after we leave. It also means every session survives us.

a.

Recorded into a library you keep

Workshops and pairing sessions are recorded and transcribed against your own codebase. New starters learn from them years after the engagement ends.

b.

Your tickets, not exercises

Pairing happens on the sprint board, in rotation, so the sceptics get the same attention as the enthusiasts. Nobody hides on a group call.

c.

A Friday note your sponsor reads

Progress, per-person uptake, blockers. Short enough to read, written so the person paying never wonders what happened this week.

d.

Governance pack included

An AI usage policy your team will actually follow, a data-handling briefing for the board, and an access agreement covering us before we read a line of your code.

The economics

The spreadsheet
your board wants.

A mid-level developer costs around £60,000 a year. The AI tooling that changes how they work costs around £1,000. Once a team adopts properly, the same roadmap needs fewer hands, or the same hands carry a bigger roadmap. Which of those you choose is a management decision. Our job is to hand you numbers solid enough to make it.

Every engagement ends with usage and adoption data per developer: who uses the tools, on what work, and what happened to their cycle times. The AI spend justifies itself on the same page. Boards fund what they can see.

payroll + AI credits delivered output wk 0 wk 12 programme starts
The gap between those two lines is the capacity conversation. We put real figures on both.
Straight answers

The questions your board
will ask first.

Does the AI train on our code?
Not on the tiers we set up. Enterprise and API terms exclude business data from training by default. We put the exact terms, in writing, in the governance pack, so the answer your board hears comes with a source.
What about secrets and customer data?
The usage policy draws the line before anyone touches a prompt: what may leave the building, what never does, and how repositories are scrubbed of credentials first. We sign an NDA and an access agreement before reading anything.
Who owns what the AI writes?
You do. Your repos, your IP, and policy wording that says so.
We're regulated. Is this survivable?
Our engineering practice ships and operates software for a licensed financial operator. Audit trails, four-eyes controls and inspection packs are the water we swim in, and the usage policy is written to be shown to a regulator, not hidden from one.
Proof

Advice from people
who ship.

Future Proof Consulting is the advisory arm of Future Proof Solutions, the Isle of Man engineering practice behind the Manx Credit Union platform: loans, treasury, audit and a member portal, live in production at mcu.im. When we talk about AI-assisted delivery, we're describing how that system gets built.

0k+lines of code
0API endpoints
0+automated tests
99.98%uptime
Fit

Who this is for.

Product companies and internal software teams with five to thirty developers, in the UK, Ireland, the Isle of Man, or anywhere remote-friendly. Big enough that the capacity question is worth real money; small enough that a decision takes one meeting.

If you have two developers, book a call anyway; it will be short and probably free. If buying us would involve a procurement portal, we are the wrong shape for you. We are two people and we keep the client list short on purpose.

FPC·008 Start here

Start with the
consultation.

One email is enough. Tell us the size of the team and what prompted the question, and we'll reply within one working day with dates.