Actually Pays Off.
AI Strategy & Advisory

Back The AI That Actually Pays Off.

We help you move on AI now, pragmatically. In quick iterations, we find where AI adds value, get your data working for you, and prove it with a pilot that's production-ready from day one. You get a plan your board will back and results you can measure.

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AI opportunities scored on value and feasibility, the top one proven as a live, governed system with a roadmap to scale

Most AI Spending Never Pays Off

Almost every mid-market company is now spending on AI; far fewer get anything back. Per BCG, by 2025 just 5% of companies were capturing substantial value from AI, while 60% had seen almost none - despite the significant spend. This typically comes from two different sources: analysis paralysis - waiting for a detailed AI strategy that is outdated before it's completed - or continuous pilots that never reach production. Another one we hear a lot: "Our data isn't good enough". This isn't a reason to wait, on the contrary: AI can help you improve your data. What's missing is a clear understanding of where AI creates value, proof before you commit, and a team to build it. For a mid-sized company, the real risk isn't moving carefully - it's not moving at all.

Source: BCG, Are You Generating Value from AI? The Widening Gap, 2025.

What You Walk Away With

A ranked map of AI opportunities - where AI adds value and where it doesn't, scored by value and difficulty.

A board-ready business case - what the top opportunities are worth, cost and take, with controls, auditability and cost in view from day one.

A production-ready pilot, not a throwaway - real software running live on your data, people meaningfully in the loop, proof you can trust before you scale.

Your data made usable - imperfect data isn't a blocker; we improve it as we go into a trustworthy internal knowledge base for automated workflows.

A costed roadmap and the team to build it - what to build, in what order, and senior Europe-based people who deliver it.

How The Work Typically Runs

Where we start depends on where you are - these are entry points, not a fixed order. Some clients open with an AI strategy workshop that aligns the board; others already know the priority and go straight to a time-boxed discovery.

01
1-2 weeks

Strategic Fit

Your AI-readiness check: we assess your business, data and delivery reality, and agree where AI-first engineering adds real value. You get a scored shortlist and a pragmatic read on controls and cost. It can run as a standalone first step.

02

Focused Priorities

We pick one or two use cases with clear business value, chosen for speed-to-impact, feasibility and risk reduction - outcomes, not open-ended programmes.

03
2-4 weeks

Time-Boxed Discovery

We validate scope, architecture and approach and define the roadmap, effort and measurable outcomes - ending in a clear go/no-go before anyone scales.

04
Optional

Build & Scale

The same senior team builds the roadmap out, with controls and cost control built in. You own what we build.

Then, in quick iterations. AI moves fast, so we don't run a year-long programme - strategy, your data and a production-ready pilot move in parallel.

Not a strategy deck, not a pilot. Minimally invasive by default:
we build on top of and in between what you already run, so your team's load stays low and the start stays fast.

The Proof Is On Our Impact Page

A fast-growing Australian e-commerce startup rebuilt its platform from scratch to keep up with rapid growth. Manual operational workload fell by 70%, the platform scaled to millions of users with no drop in performance, and the first working version was live in three months.
An AI company building computer vision to model and predict failures in industrial assets had spent around nine months trying to build its product in-house. We re-engineered and relaunched it in seven weeks - a working MVP that closed $1M in ARR from its first enterprise client and won a place in a top-tier US accelerator.
See AI Strategy & Advisory Case Studies →

Questions We Get Asked

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Is This Just A Strategy Deck?
No. We prove the highest-value opportunity in working software on your data, and hand you the senior team to build the rest. Not a strategy deck, not a pilot.
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Our Data Isn't Good Enough For AI - Isn't That A Blocker?
Rarely - it's the most overstated worry. AI improves your data quality as you go, and we build on the data you have. You don't need a perfect data platform to start.
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How Do You Keep AI Controlled, Auditable And Costs In Check?
We build controls, auditability and cost control in from day one, with people meaningfully in the loop - pragmatic, tested approaches, not governance bolted on later.
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What Size Of Organisation Is This For?
Mid-market and up, across all industries - especially where AI spend is rising but a clear plan and the team to execute it are missing.

See What Your Data Can Actually Support - Free

Before you commit more budget to AI, take our Data Estate Audit - free, and about ten minutes - reviewed and validated by our data engineering team. It tells you which of your planned AI outcomes your data estate can actually support, with evidence, so you invest on proof, not hope. Want to go further? Talk to us. We'll map where AI adds value, score the opportunities, and hand you a prioritised, costed roadmap you own. No slides, no obligation.

Free Data Estate Audit →
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