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Gameplan

AI Discovery

Before you build with AI, find out what's worth building

Get a short, fixed-price engagement that proves what's actually worth building with AI, on your own data, before you commit to a build. You walk away knowing what to build, what it'll cost, and whether AI is even the right approach for the job.

A business owner working intently at a laptop in a calm, modern office

The real problem

Most AI projects fail before anyone writes a line of code

Every system exists to fix something: slow handoffs, scattered information, communication that falls through the cracks. The technology is never the point. Finding the real problem, not the one that's easiest to point to, is where AI projects almost always go wrong. Anyone can stand up a tool. Naming what's actually broken is the hard part, and it's the part we do first. Sometimes the answer is AI. Sometimes it's a process change, or one shared document. We find out before anyone builds anything.

“Our team doesn't know what's going on with our projects.”

The real problem: Project status is buried in email threads and documents spread across five different systems, so nobody can get a straight answer without three calls.

“We're slow to execute, and I can't figure out why.”

The real problem: Every step waits on one person before the next can start, so work sits idle instead of moving forward.

“Clients keep asking for updates and we're scrambling.”

The real problem: There's no single place where job status lives, so every client call kicks off an internal search instead of a straight answer.

So before anyone builds, we answer three honest questions. If the answer to the first is no, we'll tell you, and you've spent nothing chasing the wrong thing.

Is this even an AI problem?

Often the first move isn't software at all. We'll tell you if it is.

Will it work with your data?

We build a narrow, working prototype against the riskiest part and measure it. Not a slide, a running proof.

What will it cost, exactly?

You leave with a fixed, phased build price. No open-ended day rates, no blank check.

How it works

It starts with a free intro call where we talk through the problem as you see it. If we're a good fit to help, you move into the paid AI Discovery phase, which starts at $7,500, paid up front. Discovery is where we unpack the problem, prove it with real data, and hand you a phased plan to address it. Discovery removes the unknowns that let us scope and quote the full build, but not before.

Discover

what's actually broken

Prove

a working prototype

Scope

a fixed-price, phased plan

Build

implementation and QA

Run

we monitor and refine

Discovery is deliberately not cheap. It's the step that stops you spending far more on the wrong build. And when the real thing is live, we can run it for you, the same way we run marketing for our website clients. You build it once, we keep it working.

What you walk away with

  • A clear definition of the problem to solve, and if AI is the right tool.
  • A working prototype that proves (or disproves) the core idea.
  • A model of how your information and work actually flow.
  • A recommended approach: build, integrate, or leave alone.
  • Guardrails to keep humans in the loop, govern AI, and protect data.
  • Verified access to every system involved, proven, not assumed.

Even if you never build, the model, the spec, and the prototype are yours to keep.

Common questions

AI implementation, answered

How much does AI implementation cost?

AI Discovery is a fixed price, paid up front, and you get the exact number on the free intro call. The build itself is scoped and fixed-priced only after discovery, so you always know that number before you commit. We never quote a build blind, and there are no open-ended day rates.

How do I start implementing AI in my business?

Start with proof, not a build. Find the real problem, build a narrow prototype on your own data, and measure whether it works. Only then scope a fixed-price build. That is exactly what an AI Discovery does, so you commit to a build once the unknowns are gone.

What should I automate with AI first?

Automate the task that is costing you the most time and carries the least risk if it goes wrong. Usually that is information moving by hand between tools, or documents nobody has time to read. AI Discovery is an AI audit that finds that first job and proves it before you commit.

What is an AI Discovery engagement?

AI Discovery is a fixed-price, fixed-timeline AI consulting engagement that answers three questions before you build: is this an AI problem, will it work on your real data, and what will it cost exactly. You leave with a working prototype, a model, and a fixed build plan you keep.

Do I have to commit to a full build?

No. Discovery is designed to stand alone. Even if you never build, the model, the spec, and the working prototype are yours to keep. If you do go ahead, the build is quoted fixed and phased, and we can run it for you once it is live.

Be sure before you spend

Start with a short intro call, free. Tell us the problem as you see it, and we'll say honestly whether we're a good fit to help.

Book a short intro call

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