What do you do?
AI, data and the platforms underneath them.
Strategy, data, delivery and enablement from the same team, from the first workshop to the handover.
Who is this built for?
Businesses with real data, and no AI team of their own.
- You know AI could change something in your business, and you cannot yet say what, or where to start.
- You have years of data across systems that were never designed to talk to each other.
- You have seen the demos. You have not seen anything reach production.
What do you hire us for?
Four disciplines. One team, start to finish.
Most firms offer one or two of these. We cover all four, and you work with the same people from the first workshop to the handover.
Strategy
What is worth building, and what is not.
Every idea scored for value, data readiness and risk, with the reasons written down.
How we decideData and engineering
Enough trustworthy data, in your estate.
Readiness, the sources the outcome needs, permissions, tenancy and cost control from the first build.
Where it runsDelivery
Working systems, not pilots.
Search, extraction, prediction, analysis, assistants, automation and agents where the task fits. Evaluated before demo.
The patterns we useEnablement
Your team owns it after we leave.
Training by role, pattern libraries, internal champions and a run-book rather than a demo video.
What handover looks likeWhat else can we do for you?
Four services.
Each is a piece of work in its own right. None needs you to start from a blank page with us.
AI evaluation and assurance
Independent testing of what you already have.
For businesses with an AI tool in place that nobody has proved works.
- A test set built from your real cases
- Performance measured by failure type
- Where a person still needs to be in the loop
Prototype to production
Hardening the proof of concept you built yourselves.
For teams with something that works on a laptop and needs to run in the business.
- Reliability, security and permissions
- Evaluation and monitoring
- The integrations it needs to do real work
Decision intelligence
Fragmented data, turned into evidence you can act on.
For businesses without a data team of their own.
- What changed, and what it is worth
- Where the opportunity is and what is unusual
- What is likely to happen next
Experimentation and causal measurement
Did acting on it actually change the business?
For anyone who has been shown a before-and-after and did not believe it.
- Controlled tests, not before-and-after
- Whether the system caused the outcome
- The performance number tied to the business number
What do we actually sell?
Three outcomes. Agreed and measured before anything is built.
Outcome 01
Revenue and growth
Who is likely to buy, what they want next, and when to reach out. Your team makes the final call.
Outcome 02
Efficiency and cost to serve
The same documents, questions and reports, automated without removing the judgement.
Outcome 03
Capability and control
The second and third project are the hard part. Data sorted, governance used, people trained. You need us less over time.
How do you start?
Five ways in.
Weeks
Opportunity assessment
Time with your people and your data. Where AI will make a difference, what it is worth, and where to start.
Weeks
The first thin line
One use case, end to end, in production, inside today's constraints.
Ongoing
Build capability
More sources, more features, more autonomy, each on top of something already running.
Programme
Enablement programme
The tools and training to run it in-house, with us alongside on what to improve next.
Ongoing
Retained partnership
Analysis, strategy and delivery against a shared roadmap.
What will the people around you say?
Commonly asked questions.
Your CTO
“Is this going to live in our estate, under our controls?”
Yes. Your identity and access controls, your cloud, a deployment pattern chosen to meet your security and residency requirements.
Your finance director
“How will we know it worked?”
A measurable outcome agreed before anything is built, and reported against, not asserted.
Your team
“Is this being done to us, or with us?”
With. Workshops are with the people doing the work, and the handover assumes your team owns it afterwards.
Where do I start?
Tell us what is slow, expensive or manual.
We will tell you honestly whether AI is the answer, what form it would take, and what a first build looks like. If the honest answer is not yet, we will say that too.
