Your AI tools, connected to the systems your firm runs on.
We build the connections that put AI to work on your own data. MCP connectors let Claude, ChatGPT or Copilot use your CRM, document system or practice software under your access rules. Document intake reads invoices, closing packages and referrals into the right fields. And we automate the systems you already pay for and build the internal apps around them, to a written quote, with the code in your name.
Websites, apps and integrations
Your firm still gets its own written quote after the free review, and the final price is agreed in a signed agreement. These are starting points, so nothing in the quote is a surprise.
Marketing site, up to ten pages
$6,500
Apps and integrations
Quoted per project
US dollars, October 2026. Monthly plans are month to month. Prices shown are starting points. Larger builds are quoted per project, and the final price and payment terms are set out in your signed agreement.
What owners tell us before they call
I want our AI tools to be able to read our own client data.
Somebody retypes every invoice into the accounting system.
Referrals arrive as PDFs and someone keys them in by hand.
Our systems do not talk to each other.
The site is slow and the agency takes three weeks to change a line.
In plain terms.
Most firms already pay for good software and for Claude, ChatGPT or Copilot. What is missing is a way for the AI to see the systems the work lives in. An MCP connector provides it. MCP is the open standard the major AI providers support for connecting a model to outside systems, and a connector lets your AI tools look up a matter, a client record or an invoice with the same access rules your staff already have, and a log of every request.
Document intake is the other common job. Invoices, closing packages, referrals and intake forms arrive as PDFs and scans, and somebody types them into a system. We build the extraction that reads them into the right fields, with a person reviewing anything that does not match before it is saved.
Where your systems have APIs, we connect them directly, which is usually the fastest and cheapest route. We also build internal apps and websites with an AI assisted process that removes most of the usual queue. We agree the scope, test the important workflows and prepare the deployment around your requirements.
What sits between your AI tools and your systems.
One connector checks who is asking and what they may see before a request reaches a system, and it logs every request. Documents that arrive as PDFs are read into the right fields underneath.
Drag the drawing sideways to see all of it.
- The signal, it holds: requests your staff are allowed to make, and documents landing in the right fields
- Red, it breaks: a request for files outside that person's access, refused at the connector
How a project runs, in order.
A written quote before anything starts, and you watch it work on your own data before it goes live.
- 01 / 04
A written scope
What is being built, which systems it connects to, who can use it, and an estimated timeline. A clear scope is what keeps software affordable.
- 02 / 04
Scope and pricing in writing
With milestones, so every invoice is one you expected.
- 03 / 04
You see it working before it goes live
On your documents, your data and your accounts.
- 04 / 04
You own it
The code, the hardware and the accounts are in your name.
How we scope it.
The details that shape the plan and the price, set out before you call so the quote holds no surprises.
- 01
An agreed price starts from a written scope. When a project is still taking shape, we start with a short discovery that ends in a written scope and a quote for the build, priced as its own line.
- 02
Every connector follows the permissions your systems already have. The AI sees what the person using it is allowed to see, and every request is logged.
- 03
You work directly with the engineers building it, with no account manager in between.
- 04
Our focus is software and integration. Ongoing marketing, ad management and content production are best left with a specialist agency, and our work fits alongside theirs.
Firms we build this for.
Where we have a page written for your industry, the chip links to it.
- Any firm that wants its AI tools connected to its own systems
- Accounting and audit firms
- Title and escrow companies
- Property management companies
- Small and mid sized businesses with a slow, expensive website
- Founders who need a first version built to a written quote
More of what we build.
Four ways we put AI to work in a firm, and the systems work behind them.
AI that talks to your customers
An AI phone line and a talking website guide that answer from your own documents, day or night, and pass the details to you.
AI that does the work
Agents and integrations that take the retyping, the portal filings and the document intake off your staff.
- AI staff
- AI integrations (this page)
Private AI
The AI your staff want to use, on a machine in your office or in your own cloud account, with access by role.
AI strategy and leadership
A written plan for where AI pays off, a policy your staff can follow, and a senior lead to keep it on course.
Systems that stay up
Live streams built to stay on air when a camera dies or the internet drops.
Start with a task from your business.
Show our engineering team the workflow and the applications involved. We agree a scope, access requirements and a practical next step before implementation.