AI implementation, scoped against a business case.

Models put to work inside your operation: retrieval, automation, and decision support wired into the systems your team already uses. Scoped against a business case, not a demo.

01what an engagement covers

• Opportunity audit. We start with the P&L, not the tech stack: where in your operation a model measurably earns money or saves it, and what that is worth before anything gets built.
• Data and retrieval layer. The plumbing that makes AI useful: your documents, records, and systems made queryable, so answers come from your business and not from a model's imagination.
• Evaluation and guardrails. Tests that prove the system behaves before it touches customers, and controls that keep it inside the lines afterward.

02how it is priced

Every engagement is a scoped plan with a fixed number you can take to the board. Change requests are priced before they are started, never after. Working software lands in your hands every two weeks, so you never wonder where the budget went.

03proof

Supreme Dental runs an AI smile preview built on generative imaging plus an LLM assistant inside its patient apps, both live in the app stores. Pinned Golf used AI automation to reduce an engineering team of five to one.

Common questions about cost and timelines are answered directly on the FAQ.