One problem in. Working software out.
With the value math attached.
You name one problem. We put two specialists on-site with the people who live it, find the real barriers, and come back with working software that solves it — on your data, in your workflow. You finish with a proof of concept, not a proposal.
Most AI pilots are a landscape scan that ends in a slide. This is the opposite — one problem, chosen by your leadership, embedded with the people who live it, and proven in working software before anyone talks about a production build.
A single framing call, before anyone's on-site.
Your C-suite names the problem, the success metric, and the current baseline. One problem, chosen by your leadership — not a landscape scan. You name the pain; we prove it's solvable.
2 specialists on-site, week 1.
Two product & workflow specialists shadow the real work — from managers to the frontline. Ground truth, not a stakeholder interview. We watch the workflow the way it actually runs, not the way the process doc says it runs.
Barriers mapped, solution spec'd from ground truth.
System seams, data gaps, and the workarounds nobody upstairs knows about. The solution spec comes from what we saw, not what the org chart implies. Week 1 ends with a scoped build, not a hypothesis.
A working proof of concept, on your data.
Our AI Labs team builds against real data captured on-site. Not a mockup — working software, wired to your workflow. Sponsor check-ins keep the build honest against what Week 1 actually found.
PoC demo, value case, and the path to production.
Your team sees it run on your workflow before anyone talks about next steps. Value case sized in your metric — cost, cycle time, error rate, or capacity — with private equity diligence rigor on your metrics. If you want it built for real, you leave with scope, cost range, and timeline.
A landscape scan asks people what they think is wrong. We shadow the work instead — two specialists on-site, from the manager's dashboard down to the frontline keystroke. By the end of Week 1 we have the ground truth a solution spec can actually be built on.
What the current process costs today — labor, rework, and the manual steps nobody's counting. This is the baseline the proof of concept has to beat.
How long the workflow takes end-to-end today, and how much of that is a human waiting on a handoff who's really just routing information between systems.
Where mistakes happen, how often, and what they cost when they do. This is the failure mode the proof of concept is built to close.
How much more volume the team could absorb if the bottleneck Week 1 found simply disappeared. Often the number that decides build-vs-hire.
The deliverable isn't a deck recommending you build something someday. It's the thing itself — in your own workflow, in front of the people who'd use it. The demo is the artifact that proves we got there.
One framing call. One week on-site. Three weeks to build. You walk away with working software and the value math to defend it — before you commit to anything. We'll send you the framing agenda and book Week 1 this week.