Artificial intelligence

Scoped honestly, then actually wired in

A lot of AI work fails because it was never scoped honestly in the first place. We start with whether it's actually the right tool for the job, and if it is, we go all the way to it living inside your real workflow — not a standalone demo.

• Feasibility & scoping — an honest answer to “should we use AI for this.”
• Custom AI tooling — wiring models into an actual workflow, not just a chatbot demo.
• Data prep for AI — getting your data into shape before a model ever touches it.
• Ongoing support — model performance and costs both drift over time; someone watching that.
• Agent payment integration — giving autonomous agents a way to settle small API costs on their own via the x402 standard.