Data Strategy
Target data architecture, governance model, build-vs-buy decisions, and a sequenced 12–24 month roadmap. With cost and ROI estimates per initiative.
Strategy & Transformation
Data & AI strategy that turns capability into competitive advantage
Defensible data and AI strategy, operating model design, and digital transformation roadmaps. The strategy work is short, specific, and informed by execution — because we ship what we recommend.
When strategy gets disconnected from delivery
Most enterprises don't lack data and AI strategy — they have too much of it. Each function commissions its own analysis, vendor brings their own deck, and leadership is left to reconcile contradictory recommendations from people who have never had to execute them.
The result is strategic theatre: lots of slides, very few decisions, and a target operating model that no one can actually build. Months pass, the market moves, and the organisation runs on the same operating model it had a year ago.
Strategy you can ship
Our strategy work is grounded in execution. Every recommendation carries a costed implementation plan, a credible vendor or architecture choice, and a clear owner. We've delivered analytics, ML, automation, and CRM/ERP work ourselves — so the recommendations aren't aspirational.
The output is short by design: a tight roadmap your leadership team and board can defend, with enough specificity that delivery can begin the week the engagement ends — by us, by your team, or by another partner.
What We Deliver
What we deliver
From focused single-domain diagnostics to enterprise-wide operating model assessments — sized to where the strategic clarity is missing.
AI Strategy & Use-Case Roadmap
A defensible AI roadmap — use-case discovery, prioritisation, build-vs-buy, governance, and risk. We kill bad ideas early so capital flows to the use cases that actually move the business.
Operating Model Design
Target organisational structure for data, analytics, and AI — central, federated, or hub-and-spoke. With RACI, hiring plan, and the trade-offs documented openly.
Digital Transformation Roadmap
Cross-functional roadmap that connects data, automation, AI, and business systems into a coherent change programme. Sequenced by ROI, value-at-risk, and dependency.
Vendor & Build-vs-Buy
Structured vendor selection (RFP, scoring, TCO, references) and build-vs-buy analysis grounded in real engineering economics. We don't take vendor referral fees — recommendations are clean.
Board & Investment Committee Materials
Decision-grade artefacts — business cases, ROI models, risk registers, and investment committee briefings — designed to win approval, not just pass review.
How We Work
A delivery process built for measurable outcomes
From scoping to handover, every engagement follows the same disciplined cadence — designed to remove ambiguity and ship results.
Discovery
Leadership interviews, data and capability audit, current-state mapping. Output: a clear-eyed assessment of where you are and what's blocking progress.
Target State Design
Target architecture, target operating model, and the principles that connect them. Tested against a series of "could we actually execute this" stress questions.
Roadmap & Prioritisation
Initiatives sequenced by ROI, dependency, and risk. Each one carries a costed plan, a vendor/architecture choice, and a credible owner.
Communication & Hand Off
Board-ready briefing, internal communications, and an implementation plan your team can run on Monday — by us, by you, or by another partner.
Tools & Stack
Production-grade stack, vendor-neutral choices
We pick the right tool for the job — and document why — so you're never locked into a stack that doesn't fit your team.
TOGAF / Zachman frameworks
DAMA-DMBOK governance
CRISP-DM
OKRs / V2MOM
Wardley Mapping
Capability heatmaps
TCO / NPV modelling
RACI design
Vendor RFP frameworks
Outcomes
Outcomes you can expect
Indicative ranges based on typical client engagements. Every project ties to a measurable KPI agreed at kickoff.
4–8 wk
typical engagement length — short, specific, and decision-ready
12–24 mo
implementation horizon for the resulting roadmap
100%
of recommendations carry a costed, vendor-specific execution plan
0
vendor referral fees — recommendations are clean
FAQ
Frequently asked questions
How is your strategy work different from a Big-4 deck?
We don't write 80-page decks. Our deliverables are tight, defensible, and operationally specific — typically a 15–25 page roadmap, costed initiative-by-initiative, with the technical depth needed to actually execute. We've shipped what we recommend, so the recommendations carry execution credibility.
What does an engagement actually produce?
A documented current-state assessment, a target operating model, a sequenced 12–24 month roadmap with cost and ROI estimates per initiative, decision-ready vendor and architecture choices, and an implementation plan you can present to your board. Not a slide deck — a plan you can act on Monday.
How long does a strategy engagement take?
Most strategy engagements run 4 to 8 weeks depending on scope. A focused diagnostic for a single domain (e.g. analytics or AI) is typically 4 weeks. A full data-and-AI operating model assessment is 6 to 8 weeks.
Can you help with execution after the strategy is written?
Yes — most clients continue with us into delivery on one or more of the recommended initiatives. There's no obligation to do so, and we deliberately keep the strategy work independent of the implementation work to avoid steering the recommendations toward our own utilisation.
Do you work with our existing internal teams?
Always. The strategy is designed for your team to own — we're temporary; they're permanent. Internal team members participate in workshops, validate findings, and co-author the final recommendations.
Related Services
Explore complementary capabilities
Replace strategy theatre with a roadmap that ships
Book a 30-minute consultation. Walk us through the strategic question that keeps stalling — data, AI, automation, or operating model — and we'll come back with a focused engagement plan.
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