Most AI strategy decks die in a drawer. We give you a strategy you can actually execute — because we're the same team that can build it. 20+ years engineering. AWS Partner. Senior US team.
The industry has a 92% failure rate - and it's not because developers can't code. Projects fail because teams build the wrong thing. They skip the hard work of understanding the actual customer need, rush into development, and deliver software nobody asked for. Then they blame the timeline, the budget, or the technology. We've shipped over 100 production platforms in 25 years. The reason we succeed isn't that we write better code -- it's that we start with the right question. Before we build anything, we work with you to identify the real problem your customers have, validate that the solution you're imagining actually solves it, and define exactly what "done" looks like. That's the work most firms skip. It's the work that determines whether your project joins the 92% or the 8%.

Most AI strategy engagements end with a beautiful deck and zero shipped software. The recommendations sound right. The roadmap looks reasonable. But six months later your engineering team is still arguing about which use case to prioritize, your data team is blocked on cleanup, and the CEO is asking why no AI has actually shipped. The issue isn't bad advice — it's that the people writing the strategy don't have to live with the consequences of building it. We do. Caxy is a senior US engineering team that uses AI in production daily. The same people who write your strategy are the people who can ship the first pilot. Strategy that survives contact with reality.
A 3-week sprint, then real software.
An AI strategy your CFO can fund and your engineering team can execute. Clear go/no-go criteria. Real pilots in flight by month two. And a team you can keep working with — or hand off cleanly to your internal team. Either way, software gets shipped.