A contained 30- to 90-day pilot with defined success metrics, run on one real use case, so your first AI deployment earns trust instead of spending it.
Currently accepting new engagementsThe riskiest AI project is the one that goes straight to production on a promise. A pilot removes that risk. We take a single, well-chosen use case and run it end to end in a bounded window, measuring against success metrics we agree on before any work begins.
You get a clear yes or no backed by real numbers. Not a demo, but a working proof of value in your own environment, with your own data and people. If it works, you have a template for scaling. If it does not, you have spent 90 days instead of a year finding out.
A one-page charter defining the use case, the users, the data in play, the timeline, and the specific metrics that will decide success.
A functioning solution deployed to a small group of real users, integrated enough to produce genuine results rather than a staged demo.
Before-and-after measurement on the outcomes that matter: time saved, error rates, throughput, or cost, tracked against the baseline we captured at the start.
A clear written call on whether to expand, adjust, or shelve the use case, with the estimated cost and effort of a full rollout if we proceed.
We agree on the one use case, the baseline, and the metrics that count as a win, so the pilot has a scoreboard from day one.
We stand up a working version scoped to a small user group, keeping the footprint small and the feedback loop tight.
Real users work with it for a set period while we track results against the baseline and gather what is working and what is not.
We review the numbers together and make an honest call: scale, refine, or stop, with the next-step costs laid out.
Start with a free discovery call — a quick chat to pinpoint where AI can create value in your business and map the smartest first step.