Turn a long list of data and AI ideas into a costed, ordered roadmap, with a written verdict on every idea.
A verdict on every idea
Build, Buy, Pilot, Delay or Don’t build, in writing.
Every survivor costed
A build cost, a run cost and a time to value.
Ordered and owned
A stated sequence and a named owner for every funded bet.
Scoped in the first working session · Fixed price · The roadmap is yours
Most use-case lists reach the board ranked by enthusiasm, none costed, none owned. The board applauds and funds nothing, while pilots keep running on separate stacks with no before-number.
No is a verdict
Don’t-build verdicts are written down beside the builds, so the budget goes to the bets that survive.
Ordered by dependency
Early bets leave behind the data and platform that later bets reuse.
Measured from the start
Every benefit gets a baseline before work starts, so its value can be audited.
Seven steps take a long list to a costed, owned sequence and a backlog ready to build.
Every candidate goes on one list: streams, reports, models and agents side by side, with the Assess shortlist where one exists.
You receive
Candidate list
Every idea in one place, competing for one budget.
Accelerators, agents and products we build and maintain ourselves, brought into an engagement wherever they fit.
Use-case screen · Screens every bet
A free first verdict on one AI use case, in about two minutes, with no call.
Plugs into Screen the list
Explore more about ButterThis work ends in a funded, ordered roadmap. Nothing is built inside it.
One agent, not yet proven ready?
That is AI ReadinessEstate not yet measured?
That is Data Strategy AssessmentPlatform or model route still open?
That is Technology Selection
An industrial materials manufacturer
Manufacturing · Workplace safety
Manual PPE checks at an industrial materials manufacturer were inconsistent and could not scale to round-the-clock operations. Once manual inspection was confirmed as not accurate enough, we built one bounded bet: computer vision that detects masks, gloves, helmets and jackets and records violations 24/7. Time spent on manual checks fell 60% and safety-monitoring cost fell 30%, each against the manual process it replaced.
The platform was designed to deploy from one site to many, so the first deployment leaves a pattern the next site can reuse: the kind of early bet a roadmap orders first for what it leaves behind.
No. Don’t build is one of the five verdicts, and here a don’t-build verdict is a deliverable: it is written down beside the builds, with its reason. The price is fixed up front, so it does not move with what the roadmap recommends. The backlog is written for any capable team to start from, and you keep the roadmap, the backlog, the operating model and the benefit baselines whoever builds from them.
Not if the estate has never been measured. Start with the Data Strategy Assessment: typically two weeks, and you keep the findings either way. Its use-case shortlist comes into this engagement with the rest of your list, and each case gets its verdict here. If the estate is already known and the open question is which bets to fund, and in what order, start here.
Each bet leaves by its own route, in sequence order. An agent bet that has not had its readiness pass takes it before anyone builds it, a bet that needs the estate moved goes to Modernization, and the rest go to Data & AI for a Pilot of typically four to six weeks: one fixed-scope production slice on your own data, at a fixed price, judged against an agreed success metric. The backlog is then worked on a quarterly rhythm, with a written recap every week.
Natural next step
When the first funded bet is an agent that has not had its readiness pass, the roadmap and that bet's backlog entry cross to AI Readiness, and the question changes from which bets to fund to whether your estate can carry this one.
We read your estate as it runs, typically in two weeks. You keep a costed modernization map with its TCO delta.
Owners, access tiers and lineage are decided before the next workload lands, in a governance model the platform enforces.
Fabric, Databricks or the platform you run today, settled on the few workloads that carry the decision, before any migration is funded.
One agent is measured before it is built: Butter's free verdict, then typically two weeks on its data, controls and evaluation baseline.
Bring your use-case list, ranked or not, and the pilots already running to a 30-minute working session.
