Most AI projects fail not because of technology - but because of strategy. We help you invest in the right AI, in the right sequence, with the right foundations.
150+
Strategy Engagements
94%
Roadmap Adoption
12×
Average ROI
AI Strategy Roadmap
Assess
Phase 1Align
Phase 2Architect
Phase 3Activate
Phase 412× avg
ROI Modeling
Low
Risk Score
8 wks
Timeline
What We Deliver
From initial assessment to activation roadmap - a complete strategic framework for AI success.
Evaluate your data maturity, infrastructure gaps, and organisational capability before committing to an AI initiative.
Score and rank AI opportunities by business impact, technical feasibility, and strategic fit - so you invest where it counts.
Blueprint the right mix of cloud platforms, model frameworks, and MLOps pipelines for your specific scale and compliance needs.
Build rigorous financial models: cost savings, revenue uplift, productivity gains - with sensitivity analysis and break-even projections.
Upskill teams, define governance policies, and embed AI ethics guardrails so adoption sticks beyond the pilot phase.
Quarterly milestones, vendor selection, build-vs-buy decisions, and success metrics - a living document that evolves with your business.
0+
Strategy Engagements
0%
Roadmap Adoption Rate
0×
Average ROI Multiple
0 wks
Avg. Engagement Length
Industries We Advise
Financial ServicesRetail & FMCGHealthcare & MedTechManufacturingLogistics & Supply ChainInsurance & InsurTechLegal & LegalTechPropTechEdTechSaaS PlatformsGovernment & Public SectorEnergy & UtilitiesChosen for rigour and independence - we evaluate every tool before recommending it.
Assessment & Discovery
Data & Governance
Architecture & Design
ROI & Analytics
MLOps Advisory
AI Ethics & Compliance
Our Approach
01
Two-week deep-dive: stakeholder interviews, data audits, competitive benchmarking. We leave with a clear picture of where AI creates value for you.
Deliverables
02
We score 20-30 potential AI use cases across four dimensions: effort, impact, data readiness, and strategic priority.
Deliverables
03
Technical design covering model types, infrastructure, integration points, and MLOps practices - reviewed by your engineering leads.
Deliverables
04
Detailed execution plan with team roles, sprint structure, KPIs, governance policies, and a change management playbook.
Deliverables
Who We Work With
Chief Executive
"I know AI matters but I don't know where to start."
We provide a clear, prioritised roadmap and executive briefings you can act on immediately.
Chief Technology Officer
"My team is pulled in ten directions. Which AI bets are worth making?"
We score every opportunity by technical feasibility and business impact - saving your team months of investigation.
Product Leader
"I want to ship AI features but can't justify the budget without a business case."
We build the financial model, the competitive analysis, and the narrative that gets AI funded.
Retail & FMCG
GlobalRetail Corp
AI Readiness Assessment and Use Case Prioritisation across 12 business units. 47 opportunities scored; top 3 drove £21M annual savings via freight optimisation, demand forecasting, and automated supplier comms.
Financial Services
FinCore Bank
Cloud architecture design, MLOps platform selection, and governance framework for a Tier 1 bank entering AI for credit decisioning. Reduced time to first production model from an 18-month estimate to 4 months.
Healthcare & MedTech
MedTech Devices Co
Full AI strategy engagement for a Class IIb medical device manufacturer. Use case scoring across quality control, predictive maintenance, and regulatory documentation AI - aligned to EU AI Act Article 9 requirements.
Discovery & Workshops
Data & Governance
Architecture & Design
ROI & Analytics
MLOps Advisory
AI Ethics & Compliance
Vendor Assessment
Common Questions
Developers build what you spec. Strategists help you figure out *what* to build and *why*. We find the highest-ROI opportunities first, so engineering spend is never wasted on low-impact projects.
A typical strategy sprint runs 6-10 weeks: two weeks of discovery, two for analysis, two for architecture design, and a final two for the activation roadmap. Accelerated formats are available.
No. We work with Series A startups through Fortune 500 companies. The approach scales - a smaller business needs a focused 3-use-case roadmap, not a 200-slide enterprise blueprint.
Yes. We provide independent, unbiased assessments of AI platforms, foundation model providers, and MLOps vendors - including negotiation support and contract review.
We can stay on as fractional AI advisors, hand off to your internal team, or transition directly into an implementation engagement - your choice.
We run a structured evaluation: we map your target capability, then assess available foundation models, SaaS vendors, open-source alternatives, and custom build paths against your budget, timeline, data residency, and long-term maintenance requirements. You receive a scored comparison matrix and a concrete recommendation - not a shortlist of options that leaves the hard decision to you.
We align to the NIST AI Risk Management Framework and EU AI Act risk classification as our primary governance scaffolds. In practice, this means: defining prohibited use cases and high-risk thresholds upfront, embedding human-in-the-loop checkpoints for consequential decisions, audit trail requirements for regulated outputs, and ongoing bias testing protocols. Every engagement delivers a Responsible AI Charter tailored to your sector.
Horizontal AI initiatives are notoriously hard to attribute. We establish baseline KPIs before any work begins - productivity hours, error rates, cycle times, revenue per interaction - and design the measurement infrastructure alongside the strategy itself. We distinguish between hard savings (headcount, vendor consolidation), soft savings (speed, quality), and revenue upside, with a 12-month and 36-month model so the board can see both quick wins and long-horizon value.
Book a complimentary 60-minute strategy session. Walk away with clarity on your top AI opportunities.