AI Strategy that gets to production
Most AI strategies die in a deck. Ours start with stakeholder interviews and end with a roadmap your engineers can build.
- CTOs & Chief Data / AI OfficersSetting the technical direction and accountable for what reaches production.
- COOs & VPs of OperationsLooking for AI to compress cost or unlock capacity in core operations.
- VPs of Analytics & InnovationTranslating an experimentation backlog into a defensible enterprise plan.
- Executive sponsors of digital transformationOwning the budget and the board narrative for the next 12-24 months.
- Heads of Risk, Legal & ComplianceNeed an AI policy and an EU AI Act posture before scale, not after.
- “You have data lakes but no production AI to show for it.”
- “Five PoCs in, zero deployments. Each one stalls at "production".”
- “Leadership keeps asking about AI strategy and you're improvising.”
- “Compliance is asking about the EU AI Act and you don't have a policy.”
- “You're not sure whether to build, buy, or partner - and the wrong call is expensive.”
- “Your competitors are talking GenAI publicly; you need a defensible position.”
- “Every business unit is running its own AI pilot; nobody is coordinating the spend.”
- “The board wants a quarterly AI scorecard and you don't have the metrics yet.”
- “You've paid for consultant decks before; this time you need a plan your engineers will actually build.”
Eight artefacts your board can act on
Every deliverable is editable, citable, and yours to keep. No platform lock-in, no deck that lives only in our drive.
AI Maturity Assessment
Current-state report scored across data, talent, infrastructure, governance, and outcomes.
Use-Case Backlog
Prioritised inventory of 10-30 candidate use cases, each scored on business impact and technical feasibility.
12-24 Month AI Roadmap
Quarter-by-quarter execution plan with milestones, dependencies, and explicit owners.
Target Architecture
Reference architecture for data, model, deployment, and observability stacks - mapped to your existing footprint.
Build-vs-Buy Analysis
For each capability: build in-house, buy SaaS, or partner. With cost models and risk weighting.
ROI / Business Case
CFO-grade model that monetises the roadmap - input assumptions, NPV, payback, and sensitivity.
AI Governance Framework
Internal AI use policy, EU AI Act conformity checklist, risk register, and review cadence.
Executive Briefing
Board-ready deck distilling the entire engagement into 15 slides senior stakeholders can act on.
From first conversation to signed roadmap
Five sequenced steps, each with a defined output and a stakeholder checkpoint.
Discover
Stakeholder interviews + data and infrastructure audit. We map where you actually are, not where the org chart says.
Diagnose
Gap analysis against industry maturity benchmarks and against where your business needs to be in 18 months.
Design
Use-case ideation, scoring (impact × feasibility), target architecture, build-vs-buy recommendations.
Decide
Executive prioritisation workshop. We leave with a signed-off roadmap and a quarter-one investment plan.
Deliver
Final report, executive briefing, governance framework, and an introduction to the team that builds it.
Four packaged ways to start
From a 2-week sprint to a full strategy programme. Pick the depth that matches your appetite - we'll size the team to fit.
Discovery Sprint
Low-commitment opener: 5 stakeholder interviews, data audit, top 5 use cases scored, one-page recommendation.
AI Strategy & Roadmap
Full-spectrum engagement covering all 8 deliverables. Output is a board-approved 12-24 month plan.
AI Maturity Audit
Standalone scoring report. Useful before budget cycles or after a leadership change.
EU AI Act Readiness
Classification of your AI systems, conformity assessment, documentation, and governance setup.
Industries we serve
The case studies and articles on this site are a slice; we've shipped AI across many more sectors than those examples.
Frameworks & methodologies we use
A pragmatic mix of best-in-class open source and managed services. Always picked to fit the team that will own it after handover.
- We don't write your AI policy without a workshop. Policies you didn't shape don't get followed.
- We don't recommend tools we haven't shipped with in production at least once.
- We don't produce slides we wouldn't defend in an audit committee.
Frequently asked
2-8 weeks. A Discovery Sprint can land in 2; a full strategy with governance and roadmap typically runs 6-8 weeks.
Want a roadmap your engineers can actually build?
A 2-week Discovery Sprint usually answers it. Let's talk.
