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.

04common questions about AI implementation

What is AI implementation?

Putting models to work inside an existing operation: retrieval over your own documents and records, automation of work a person does by hand today, and decision support wired into the systems your team already uses. Success is measured by what it returns on the P&L, not by what it demos.

What does an AI implementation engagement include?

Three parts. An opportunity audit that finds where a model measurably earns or saves money and what that is worth. A data and retrieval layer that makes your documents, records, and systems queryable. Evaluation and guardrails that prove the system behaves before it touches customers and keep it inside the lines afterward.

How much does AI implementation cost?

A fixed number agreed before work starts, set by the opportunity audit rather than by a rate card. Change requests are priced before they are started, never after, and working software lands in your hands every two weeks so you always know where the budget went.

Will it work with the systems we already use?

Yes. The retrieval layer connects to your existing documents, records, and systems so answers come from your business and not from a model's imagination. Supreme Dental's AI smile preview and LLM assistant sit in the same apps as the practice's scheduling and patient records, wired into its real operations.

How do you stop the AI from making things up?

Two ways. Answers are grounded in your own data through the retrieval layer, and evaluation tests prove the system behaves before it reaches customers, with guardrails that hold it there in production.

Which AI technologies does Insomnia Club work with?

LLM agents, retrieval-augmented generation pipelines, generative imaging, and computer vision, chosen per engagement by what the business case needs rather than by what is fashionable.

More answers on cost, timelines, and how we work are on the FAQ.