Take AI from pilot to payback.
We help leadership teams decide where AI is worth the investment, redesign products, processes and teams around it, and lead the change through to measured results.
- Published fixed fees, from £2,500
- One senior operator, board to delivery
- Stop after any stage, keep every output
Handling a customer complaint
Illustrative
- 3
- Stays with a person
- 2
- AI assists
- 2
- AI, within limits
Move any of them. Deciding this for each workflow, and who answers for it, is where the value and the risk both sit.
The technology usually isn't what's holding you back.The business around it hasn't moved.
Pilots multiply and licences get bought, but the work, the roles and the decisions stay as they were. So the benefit stays local and nobody can point to it in the numbers.
In BCG's 2026 CEO survey (opens in a new tab), most companies were running AI pilots, but only about a quarter had changed the wider business around them.
Where it stalls: AI activity, no payback
What changes: Pick the right bets
We find the few changes that will move revenue, cost or service, and put a value case behind each.
Where it stalls: New tools, same old habits
What changes: Change the work
We redesign products, workflows and roles so the gains land, and say clearly what stays with people.
Where it stalls: No one owns the outcome
What changes: Get it built and live
We lead the change with your teams and support the build hands-on, with partners where needed.
Where it stalls: Teams unsure how to use it
What changes: A team that runs it
We train your people on their real work, not generic demos, and agree how results are measured.
“What could this business do now that it couldn't two years ago?”
Four stages, in this order.Stop after any of them and keep every output.
We can work with you from the first decision through to delivery. Each stage also ends with something you can use if you stop there.
Stage 01
Decide
Where is the advantage?
Choose the few opportunities worth funding, each with a value case in numbers and the measures it will be judged by.
Most AI lists are too long. We cut yours down to the handful that could move revenue, cost, capacity or customer outcomes, and record what is evidence and what is still assumption.
- Prioritised opportunities
- Value case and measures
- Readiness, risk and dependencies
Engagements: Workshop · Diagnostic · Deep Dive
Stage 02
Design
What must change?
Rework products, workflows, roles and decision rights (who decides what) around those opportunities, and agree which calls stay with people.
Automating a poor process preserves the wrong work. So the work is redesigned first: what stops, what stays with a person, what AI assists, and what AI takes on within agreed limits.
- Target workflows and roles
- Decision rights and accountability
- Data, technology and governance needs
Engagements: Operating Model & Transformation Design
Stage 03
Deliver
How will we realise it?
Test the riskiest assumptions in small, time-boxed pilots with agreed success measures, then build and scale what works.
Every pilot ends in one of three decisions: proceed, adapt or stop. We stay through the build: your teams or the partners we help you choose write the software, and we work alongside them until it is live.
- Pilot specifications and acceptance criteria
- Partner selection and briefing
- Proceed, adapt or stop decisions
Engagements: Implementation Support · Transformation Leadership
Stage 04
Embed
Who runs it after us?
Give every result a named owner, train people on the new work, and track against the agreed measures until your team runs it without us.
Training uses your real workflows, not generic demos. The methods and outputs are yours to keep, and the engagement ends when the operating rhythm no longer needs us in it.
- Named owners for each result
- Training on real work
- Value tracking your team runs
Engagements: AI Training for Leaders & Teams
With you from the decision to delivery.With no software to sell.
- Through to delivery
- We lead the agreed change with your teams, specify the pilots, help you choose and brief build partners, and work alongside product and engineering until the first releases are live and your team runs them.
- Independent advice
- We don't sell software, resell tools or take payment by results. Your teams or the partners you choose write the code, so our advice on what to build, buy or stop has nothing else behind it.
Time saved creates capacity.It only becomes a cash saving when spending is reduced or avoided.
Many AI business cases blur those two together. Ours keep four kinds of value in separate columns, and record the evidence gaps and confidence against every estimate, so your board can tell a hypothesis from a validated investment case.
- Revenue
- New or protected income, with the assumptions behind it.
- Cost savings
- Spending that is reduced or avoided. Nothing else counts here.
- Released capacity
- Time handed back to people. Real, but not yet cash.
- Customer outcomes
- Speed, quality and fairness for the people you serve.
Governance runs through every engagement.It starts in scoping, before anything is built.
Stuart launched Compare the Market's first consumer AI assistant, and the first ChatGPT app for insurance, inside an FCA and Consumer Duty environment. That discipline carries into every engagement.
Career experience before Neurally, not a Neurally client result.
AI governance in practiceAccountability, written down
Every redesigned workflow names who is accountable, what stays with a person, what is automated, and how a decision can be reviewed and reversed.
Consumer Duty and conduct risk
For financial services and insurance, designs are tested against Consumer Duty outcomes before they reach a board.
UK GDPR and the EU AI Act
Data use, retention and third-party processing are covered in scoping. Risk-category exposure is flagged while the design can still change.
A board that can see the risk
Assumptions, risks and dependencies are made as visible as the opportunity, with owners and decision gates in the plan.
The first steps have fixed fees.Agreed before any work starts.
There is no day-rate meter running. The Workshop fee is credited in full against a Diagnostic or Deep Dive booked within 60 days.
After that: operating-model design, implementation support, transformation leadership, training and advisory, each scoped and quoted before it begins.
All nine engagements
An operator's judgement.From someone who has run the change in-house.
Neurally is led by Stuart Davis. He has spent more than 19 years running product, technology and transformation inside consumer platforms, most recently as Head of Product for Data, AI, Apps and Operations at Compare the Market, and before that leading banking and payments at Fresha.
The judgement you hire is the judgement applied to your business, from the board decision through to delivery.
- 50%
- reduction in discovery-to-development time reported after redesigning the product lifecycle around AI.Before Neurally
- First
- ChatGPT app for insurance, and the company's first consumer AI assistant, launched under FCA and Consumer Duty rules.Before Neurally
- $75,000
- monthly revenue within six months from a machine-learning and AI subscription data product used by 2,000+ businesses.Before Neurally
These are outcomes from roles Stuart held before founding Neurally. They are not Neurally client results, and the wider commercial figures reflect the work of whole teams, not AI alone.
About StuartThe answer depends on where you sit.Start from your own situation.
Not sure where you stand?Ten questions will tell you.
The AI maturity assessment takes about two minutes and places you in one of four scenarios, with your biggest gap and a sensible next step. It is scored in your browser. No sign-up, and nothing is stored.
Take the assessmentQuestions people ask first.
What does Neurally do?
Neurally is a UK-based advisory that helps leadership teams decide where AI is worth the investment, redesign products, processes and teams around it, and lead the change through to measured results. Every engagement follows four stages: Decide, Design, Deliver and Embed. Read more about our approach.
Who is it for?
CEOs, founders, and product and technology leaders of scaling and established businesses, roughly 50 to 1,000 people, where AI could change costs, capacity, speed, products or customer value. If you are not sure where you stand, the two-minute AI maturity assessment will tell you.
What does it cost to get started?
The first call is free. After that the Workshop (one day, £2,500), the Diagnostic (one week, £6,000) and the Deep Dive (two weeks, £12,500) each have a fixed fee agreed before work starts. The Workshop fee is credited in full if you book a Diagnostic or Deep Dive within 60 days. See every engagement and fee.
Are you an AI consultancy?
Not quite. AI is usually why people call, but most of the work is on the business itself: its economics, products, customers, organisation and delivery. AI is the catalyst for that work.
Do you stay through to delivery?
Yes. We can work with you from the first decision until the change is live and your team runs it. We lead the agreed transformation work and support implementation hands-on: specifying pilots, choosing and briefing build partners, and working alongside your teams on the first releases. Your teams or specialist partners write the software. We do not sell software or resell tools, so our advice on what to build has nothing to sell.
How is this different from a large consultancy?
You work directly with one senior operator who can move from the board-level choice into product, operating-model and delivery detail. Nothing is handed from the people who sold the work to a different team who deliver it. Specialists are added only where the problem needs them.
Start with a conversation.Thirty minutes, free.
Tell us what you are trying to decide. If we can help, we will say how and what it would cost. If we can't, we will say that too.