The pilot graveyard: why 80% of AI projects never ship.
Pilots are designed to be safe. That is exactly why they fail — nothing safe ever changed a cost structure.
ReadFor retail, commerce, and financial-services teams stuck between AI ambition and execution. We build the systems, the platform, and the capability — so the work itself changes shape, not just the tools.
Four to seven weeks from first conversation to a workflow running on live work.
Most AI initiatives die in pilot. The demo impresses the board, the dashboards multiply, the vendor invoices arrive — and six months later, nothing on the P&L has moved. The technology was never the problem. The work itself was never redesigned around it.
Bolting a model onto a broken process gives you a faster broken process. Real transformation starts with the workflow: where the hours go, where the cost hides, where the queue forms. Redesign that — with AI carrying the repetitive weight and people carrying the judgement — and the economics change. Cost to serve drops. Time to revenue shortens. Output stops scaling with headcount.
AI-aware organisations have the licences, the pilot, the slide in the strategy deck — and work that looks the same as it did three years ago. AI-operational organisations have redesigned at least one workflow around AI: a baseline, a result, and a team that can do it again. We get you there, one workflow at a time.
AI helps the person. Individuals are faster — the business looks the same.
AI helps the process. Workflows are faster and more consistent — humans still drive.
AI runs parts of the process. Throughput jumps — people supervise, AI executes.
AI improves the operating model. How you sell, price, deliver, and learn has changed shape.
Most organisations think they are AI-enabled. Most are AI-assisted with experiments. Read the maturity framework
Not a long list — the two or three workflows that will move the number. We sit with the team doing the work, baseline the current state, and lock scope before any build starts.
A small, senior squad shipping production AI systems inside your environment — your team in the room, iterating on live work. No slideware. Production from day one.
Capability transfer is the engagement, not a workshop at the end. We measure against the baseline, document what changed, and leave a team able to keep redesigning without us.
One workflow, redesigned and shipped as a working AI system. Fast.
On-site with your team: map the workflow, build in your environment on live work, measure against the baseline, hand over. You finish with a workflow that runs differently — and a number that proves it.
Read moreFor organisations with multiple workflows to redesign — and a team that needs to keep going without us.
Project-first: we stand up your AI platform, redesign the first two or three workflows against it, and run enablement from day one. When the platform is proven, it converts to a retainer. Never the other way around.
Read morePilots are designed to be safe. That is exactly why they fail — nothing safe ever changed a cost structure.
ReadAccuracy, latency, adoption — all proxies. There is one number your board actually cares about.
ReadField notes from a six-week rebuild: what broke, what surprised us, and what we would do differently.
ReadNext steps
Thirty minutes. We will ask where you are, what you have tried, and where the highest-value opportunity sits. If we are the right fit, we will tell you how we would start. If we are not, we will tell you that too.