AI implementation · From plan to live

AI implementation, done by the team that builds it

AI implementation is the work of getting AI out of a plan and into software people use every day. We do the build. We connect your data, pick the AI model, test the answers and launch it. You get working software, a fixed quote and a team that stays after go-live.

AI implementation services we deliver

AI in software you already run

Add an AI feature to your current product, so your users get it without a new app.

A new AI product

A product with logins, billing and AI doing the core job. Built to sell.

Your program as software

Your method, built into a product. Clients get your best thinking without you in the room.

AI on your own content

Chat, search and drafting that use your documents and data, not the open internet.

Tested answers

We check the AI against your real cases before launch, and keep checking after.

Launch and care

We put it live, watch how people use it and fix what comes up.

Why AI implementation stalls

Most stalled AI projects have a plan and a pilot, but no product. These are the three usual reasons.

No single job

The AI is asked to do a bit of everything. Pick one job and it gets good fast.

Messy data

The AI can only use what it can read. We sort out what it needs and leave the rest.

Nobody owns it after launch

AI drifts. Someone has to watch the answers. We set that up before go-live.

How an AI implementation consultant should run it

  1. 01

    Pick one job

    We agree on the one job the AI does first, and how you'll know it works.

  2. 02

    Prove it

    We test the AI on your real cases. If it can't do the job well, you find out now.

  3. 03

    Build around it

    Logins, data, screens and safety checks. The AI gets a real product around it.

  4. 04

    Launch and improve

    It goes live with real users. We measure, fix and build the next part.

Your next step

The free AI product call

Thirty minutes on what you want the AI to do, and what it takes to get it live.

  • A straight answer on whether the AI can do the job
  • What your data needs before the build starts
  • What a first version could include
  • A fixed quote for the build after the call
Product call
30 minutes, free
Build
Fixed quote
Code, keys and data
Yours
Book a product call

You see the build cost and the monthly AI cost before you say yes.

Questions, answered

What is AI implementation?

AI implementation is putting AI to work inside real software. It covers picking the AI model, connecting your data, building the screens and checks around it, testing the answers and launching it to users.

How much does AI implementation cost?

Every build gets a fixed quote after a free product call. If you want a first version fast, our 30-Day Prototype Launch is $18,400. It covers one platform, one core workflow, up to 2 user roles, 1 integration, 2 revision rounds and 30 days of fixes.

What does an AI implementation consultant do?

They turn the plan into a working product. That means choosing the AI, sorting out the data, running the build and testing the results. Ours are the same people who write the code, so nothing gets lost in a handover.

Do we need a strategy first?

You need to know the one job the AI will do. If you know it, we can quote the build. If you don't, start with our AI strategy page and the Software Plan Workshop.

Do you only give advice, or do you build?

We build. If you only want advice on using AI across your business, with no software build, our sister brand handles that. Tell us on the call and we'll introduce you.

Which AI models do you use?

We pick the model that fits the job, like Claude or GPT. We build it so you can switch to a better or cheaper model later without a rebuild.

Who owns the code and the data?

You do. The code, the AI accounts, the keys and the data sit in your name from day one.

Ready to get AI out of the plan and into your product?

Book a free 30-minute product call. You get a straight answer and a fixed quote.