The same shape, whatever the industry.
A bank, a hospital system, a retailer, a manufacturer — they all walk roughly the same path. What changes is where the money sits, which data fights hardest, and what the culture resists. We flag those differences as we go, but the shape holds.
Discovery & Strategy
We interview the leadership, sit with each function, and figure out where the company makes and loses money. Then we look hard at the data, find the people who already quietly do this work, and turn a messy list of pain points into a prioritized portfolio with a value case behind it.
Foundations
There's a trap here — the eighteen-month platform that ships nothing. We avoid it by building only what the first use cases need, then letting real work pull the rest into being. In parallel we start fixing the master data that matters most, and we name the hardest integration problem early so it gets the time it deserves.
Lighthouse Delivery
This is where the real lesson lives. We embed with the people who'll use the output, redesign the workflow around it, and put it inside the tools they already open every day. Then we baseline the before, measure the after, and get finance to sign the number. That signature is what unlocks the next wave.
Scale & Sustain
One use case working in one place is a pilot. The same one running across every branch, plant, or hospital is a program, and that's where the money compounds. We move from hand-built to manufactured — reusable pipelines, standard deployment, and change management run at the scale of dozens of teams at once.
Every use case earns its way to the next stage.
A use case that can't clear a gate doesn't advance. That sounds harsh, and it saves a great deal of money.
Is this worth chasing?
Go if there's a real problem, a named owner, credible value, and data that plausibly exists.
Does the value hold up?
Go if the prototype beats the baseline and finance is willing to back the case.
Is it live and used?
Go if it's in production, real people are using it, and the value is showing up in practice.
Ready to multiply?
Go if the pipelines are reusable, it's actively monitored, and someone owns running it.
We do it. Then we do it together. Then you do it.
Ownership moves gradually across a handful of live use cases, so by the end your people have run the whole thing with their own hands. That's the point — we'd rather leave behind a team that can deliver the fortieth use case than deliver three ourselves.
We run the pod and hold the gates. Your people ride along in every role and watch how it works.
Your team runs intake and build. We coach, and we step in only at the hard gates.
You lead it end to end. We shadow, say little, and hand over the pen.
Endless proofs of concept, nothing in production. We bias toward live work from day one and refuse to treat a demo as a result.
A magnificent platform, and nothing anyone can use. We build the smallest thing that works and grow it from there.
A clever central team disconnected from the business. We embed domain experts and report where the value lives.
When no one can prove the office pays for itself, funding quietly dries up. We get finance to validate value from the first use case.