Find out whether one AI use case can reach production, before anyone funds its build.
A free first verdict
Butter screens the use case in about two minutes.
The data path, traced
Sources, owners and access, checked against production.
Every gap priced
A scorecard and a priced path into a Pilot.
Butter's verdict in about two minutes, then typically two weeks · Fixed price · The scorecard is yours
A demo runs on a curated extract, an administrator account and friendly questions. Production has incomplete records, changing permissions and a cost for every wrong answer.
Screened before it is scoped
Butter decides whether the use case deserves a build at all.
Bounded before it acts
Identity, permitted tools and human decisions are set out before a Pilot.
Measured against a baseline
The current result is written down, so the Pilot has a bar to beat.
Four steps take one use case from a first verdict to a priced path into a Pilot.
Butter asks eleven short questions and scores suitability, readiness, value and risk. It returns Build, Buy, Pilot, Delay or Don't build.
You receive
Written verdict
One of five verdicts, with the reasoning behind it.
Butter, from the Mandelbulb Kit
Accelerators, agents and products we build and maintain ourselves, brought into an engagement wherever they fit.
Use-case screen · Gives the first verdict
A free first verdict on one AI use case, in about two minutes, with no call.
Plugs into Get the first verdict
Explore more about ButterThis work ends in a priced decision on one use case. Choosing among many, or building it, happens elsewhere.
Many use cases, one budget?
That is Data & AI StrategyReady to build the agent?
That is Agentic AI
A project-controls software company
Software · Project controls
A project-controls software company wanted AI help for planning teams that respected the Primavera P6 standards they already work in, rather than asking them to abandon their tools of record. That fixed the production path before anything was built: XER in, XER out. We built its AI planning platform end to end. It reads scope and documents, produces a baseline-ready XER file with a generated Basis of Schedule that opens directly in Primavera P6, and its agent’s suggestions are reviewed at the activity level.
Every output carries its basis of schedule: the assumptions, data sources, duration references and logic rationale behind it, so a planner can check the work before accepting it.
An AI readiness assessment tests whether one AI use case can reach production before anyone funds its build. Butter gives a free first verdict, then the readiness pass traces the data path, bounds what the agent may do and as whom, and writes down the baseline a Pilot must beat. Every gap is named and priced, so the result is a decision you can fund or stop.
Butter’s verdict takes minutes and costs nothing; the readiness pass that follows typically takes two weeks at a fixed price. Butter asks eleven short questions and scores the use case on suitability, readiness, value and risk. The readiness pass is a separately scoped engagement for one use case, and you keep the scorecard whether or not we build.
You get a readiness scorecard, control requirements, a written baseline and a priced gap list for one use case. The scorecard shows the data the use case can rely on, with the gaps made explicit. The control requirements say what the agent may do, as whom, and where a person decides. If the answer is to wait or walk away, the reason is written down too.
A demo usually runs on a curated extract, an administrator account and friendly questions, and production offers none of those. Production brings incomplete records, changing permissions, difficult cases and a cost for every wrong answer. The readiness pass checks the path the demo skipped: which data can be reached, who may act on it, how the result will be measured and what must change before a Pilot.
Yes. Butter returns one of five verdicts, Build, Buy, Pilot, Delay or Don’t build, and the readiness pass can end in Delay or Don’t build. A Delay verdict is useful when it names the dependency that would change it. The price is fixed before the work starts, so it does not depend on the answer.
Natural next step
Once the data, controls and baseline are ready, take one bounded agent into an evaluated Pilot.
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.
Every candidate use case gets a written verdict. The survivors become a costed roadmap and delivery backlog.
Get a first verdict from Butter now, or bring the demo and its open questions to a 30-minute working session.
