AI Strategy & Transformation
Move from experiments to enterprise scale. We build the operating model, governance, and roadmap so your teams deliver AI safely and create measurable value.
What you gain
Clarity and focus
Prioritised use cases linked to KPIs, budgets, and a delivery sequence that your executives can approve.
Operating model
Roles, RACI, and a pragmatic governance model (risk, privacy, model lifecycle) that works in the real world.
Responsible by design
Explainability, testing, and data controls embedded from day one so scale does not create compliance surprises.
Our approach
- Readiness and risk baseline: current capabilities, data, vendors, controls, and appetite.
- Use case portfolio: score by value, time to impact, feasibility, and risk profile.
- Target operating model: people, process, platforms, and controls (with a lean Center of Excellence).
- Roadmap and economics: 3–4 delivery waves with a quantified value case and funding asks.
- Pilot to scale: success criteria, MLOps approach, and adoption plan for business teams.
Deliverables
Executive brief
Ten page narrative with risks, asks, and the value thesis.
Operating model
RACI, policies, governance cadence, and vendor guardrails.
Roadmap & budget
Prioritised plan with funding envelope and KPI targets.
Pilot plan
First ninety days to demonstrate measurable value.
Risk register
Privacy, security, model risk, and mitigation actions.
Stakeholder deck
Board ready slides for approval and communication.
Frequently asked
How long does a strategy take?
Four to six weeks for most organisations, depending on stakeholder availability and the number of use cases assessed.
Do you work with our vendors?
Yes. We collaborate with your platform teams and vendors. We are vendor neutral and we focus on value and risk outcomes.
Can you help deliver pilots?
Yes. We often stay on to deliver the first wave: data foundations, assistant prototypes, and measurement.
Book your AI Strategy call
Thirty minutes with a principal consultant. Clear next steps, no obligation.