DATA & AI OPERATING MODELS
Make the strategy run.
A strategy only creates value when the organisation can deliver it. We design who owns what, who decides and how the work gets done, so data & AI stop being a string of projects and become part of how the business runs.
Structures, roles, decision rights and ways of working, built around your priorities and designed to be adopted, not just drawn.
Sound familiar?
“Every team is building its own thing.”
Duplicated effort, competing tools and no shared view of priorities.
“The pilots work. Scaling them doesn’t.”
Nobody owns taking a proof of concept into day-to-day operations.
“We built a data team, but the business doesn’t use it.”
The specialists sit apart from the decisions they are meant to improve.
What you get
The right structure
Central, hub-and-spoke or federated: how your data & AI teams are organised and how they work with the business.
Clear decision rights
Who sets priorities, who funds them, and who owns each data product and AI use case.
Ways of working
How an idea moves from use case to production and into daily use, including cross-functional squads where they fit.
A transition plan
A phased rollout that starts with one area, with the change management and skills to make it stick.
HOW IT RUNS
Designed to be used, not just drawn
The operating model is point 9 of the Data & AI Strategy Canvas: Operating Model & Governance. It answers who owns, operates and is accountable for the value your strategy promises.
STEP 1
Map it to your strategy
We start from your priorities and design the structures, roles and processes needed to deliver them, not an org chart for its own sake.
STEP 2
Build for adoption
Change management and training are part of the design from day one, so new ways of working actually stick.
STEP 3
Pilot, prove, then scale
We start in one area, prove the impact, then scale. It lowers the risk and builds support across the business.
Recent operating model work
CREDIT MANAGEMENT
4 months
to a new data operating model, live
Built around data squads. Teams now self-serve trusted data, and the client saved £15m over three years.
BANKING
~$14m a year
value identified so far
Six ExCo sessions, then every AI use case judged on outcome, owner, measure and value.
Other ways we help
Start with an hour.
A 60-minute Value Review, at no cost. We look at where your AI & data investment is and isn’t paying back, and you get a short written report afterwards.
No pitch deck. No account managers.
