Services
Find the right starting point for data and AI
We offer eleven services in four groups. Each solves a specific problem and can be bought on its own. Start with the situation that sounds like yours, or browse the groups below.
Where to start
Choose the situation that sounds most like yours.
“Our data is everywhere. Where do we even begin?”
Start withData & AI Readiness Assessment →
Find out where your data stands and what to fix first.
Scope your assessment“Nobody really owns our data strategy.”
Start withFractional CDO →
Get senior data leadership without a full-time hire.
Discuss fractional leadership“Finance, risk and the business each have their own numbers.”
Start withData Governance Implementation →
Establish consistent definitions, clear ownership and controls for your critical business data.
Discuss your project“Where would AI actually pay off for us?”
Start withAI Use-Case Discovery & Prioritisation →
Find the AI use cases worth funding, and check your data can support them.
Discuss your AI opportunities“Our AI pilots never seem to reach production.”
Start withAI Pilot-to-Production →
Take one use case through four gated phases, with a documented decision at each gate.
Discuss your project“We need data capabilities, but we don't have a data team.”
Start withData Team Build & Managed Delivery →
Get delivery capacity now, with or without building your own team.
Discuss your data team needs“We spent on a platform and a team. Where is the value?”
The cause could be strategy, the operating model, governance or technology. Three possible starting points:
- Data & AI Readiness Assessment →when you first need to find where the problem sits.
- Data & AI Function Design →when the team lacks a clear mandate, roles or decision rights.
- Fractional CDO →when nobody senior owns the data agenda.
“Our platform is slow, expensive or locked in.”
Plan and carry out a controlled migration to a more open, portable architecture.
Discuss your project“We have dashboards. Why don't decisions change?”
Build the analytics around one decision that matters.
Discuss your project
None of these quite fits? Request a free first conversation
Data leadership
Leadership, teams and skills to move your data and AI agenda forward.
- Fractional CDOSenior data leadership, part-time, within an agreed mandate.Typical first resultAn agreed mandate, initial priorities and a plan for the first three months.
- Data Team Build & Managed DeliveryA data team that delivers agreed work, ongoing or while you build your own.Typical first resultAn agreed team structure, delivery priorities and an initial operating plan, with the first delivery work under way.
- Data & AI Function DesignDefine what your data function does, who owns what and who decides.Typical first resultA shared view of priorities, current challenges and the key operating-model decisions leadership needs to make.
- Data & AI Literacy and EnablementRole-based training, from the board to business users.Typical first resultA role-based curriculum, and the first group trained.
Trusted data for decisions
Make confident decisions with data the whole organisation agrees on.
- Data & AI Readiness AssessmentKnow where your data stands, and what to fix first.Typical first resultAn assessment of current capabilities, the critical gaps and a prioritised improvement roadmap.
- Data Governance ImplementationOne definition and one owner for your key figures.Typical first resultThe first priority figures defined, with named owners and an initial governance operating model.
- Data Platform Migration & Open ArchitectureChange platforms in controlled waves, through open formats.Typical first resultAn assessed migration scope, a target architecture and a phased migration plan.
- Data Ecosystem Delivery & SupportDesign, build and ongoing support of your data platform.Typical first resultAn agreed architecture, implementation scope and delivery plan.
AI on quality foundations
Move AI from ideas and stalled pilots towards production, on governed data. The two services form one path, and each can be bought on its own.
- Step 1AI Use-Case Discovery & PrioritisationFind the AI use cases worth funding.Typical first resultA ranked list of use cases, business cases for the strongest candidates and a recommended next step.
- Step 2AI Pilot-to-ProductionOne use case through four gated phases.Typical first resultValidated requirements, a data-readiness assessment and a documented decision on whether to build.
Beyond reporting
Move from reports that describe the past to analytics that drive the next decision.
How we work together
- Understand the challenge: the business problem, your objectives and constraints.
- Agree the approach: scope, expected results, responsibilities and the form of engagement.
- Work towards the result: we advise, assess, implement, lead or operate, as agreed.
Not sure which service fits?
Tell us what's happening. A senior lead will listen and suggest a sensible first step, even if that step doesn't involve us.
A senior lead replies within one business day. No obligation.