Most companies don't have an AI problem. They have a prioritisation problem. There are dozens of ways to apply AI in any business — and most of them aren't worth doing. The ones that are require a clear execution path, not a 40-slide deck full of generic recommendations.
We help companies identify the right AI problems to solve, define the architecture that fits their constraints, and build an execution roadmap they can actually act on — whether they're building it with us or with their own team.
What We Deliver
AI Opportunity Assessment
A structured review of your product, operations, and data to identify where AI creates meaningful leverage. We score each opportunity by effort, impact, and feasibility — not by what's technically exciting, but by what moves your business metrics.
We look at: manual processes consuming skilled-person time, customer-facing workflows with high friction, decisions made with incomplete information, and data assets you have that competitors don't.
Prioritised Use Case Roadmap
A sequenced list of AI initiatives with clear rationale for ordering. Phase 1 items are typically high-ROI, technically feasible within your current infrastructure, and achievable in 6–12 weeks. We don't hand you a three-year transformation plan — we hand you what to build first and why.
Technical Feasibility and Build vs Buy Analysis
For each prioritised use case: an honest assessment of what it takes to build it, what off-the-shelf tools can do the job, and what the true cost of each path looks like over 12–24 months. We've evaluated dozens of AI vendors and know where the capability gaps are between what's marketed and what's delivered.
Vendor and Model Selection
Independent evaluation of AI platforms, foundation model providers, and specialist vendors for your use case. We're not affiliated with any vendor and don't receive referral fees — our recommendations are based on technical fit, not commercial relationships.
Executive-Ready AI Strategy Documentation
A concise strategy document — typically 15–25 pages — covering the opportunity assessment, prioritised roadmap, build/buy decisions, and implementation considerations. Written to be understood by both technical and non-technical stakeholders.
Who This Is For
Companies at the start of their AI journey who know AI matters but don't know where to start. We give you a clear entry point grounded in your actual business context, not generic industry benchmarks.
Teams that have run AI pilots and need a clearer path from experiment to production impact. We help you understand why the pilot worked (or didn't), and what it would take to scale.
Leadership teams evaluating AI investments who need an independent technical perspective before committing budget — either to build, buy, or hire.
How We Work
A typical strategy engagement is 4–6 weeks and involves:
- Week 1–2: Stakeholder interviews, process mapping, data asset review
- Week 2–3: Use case scoring and feasibility assessment
- Week 3–4: Build/buy analysis and vendor evaluation for priority use cases
- Week 4–6: Roadmap development, documentation, and executive presentation
Engagements can be extended with ongoing advisory support — monthly strategy reviews, model vendor evaluations, or technical due diligence for specific initiatives.