Implementation
Secure, bespoke AI
that pays for itself.
Agents built around how your firm works, run where your data is allowed to go, and costed for their return before you invest.
How it gets made
Made beside your team, not behind them.
Each solution is set up with the person who will own it, sitting beside them.
When it goes live, somebody in your firm already knows how it works.
How we build agents
Three ways to build an agent that works, decided by compliance and data security.
Every agent we build is built in one of three ways, decided by the level of security and compliance around the data points it will act on.
- 01
In your provider’s cloud
Your agent runs on your AI provider’s business cloud, under business terms that bar it from training on your data.Quickest to set up, most capable
- 02
Inside your own cloud
The same agent, inside a cloud account your firm owns, in a data centre you choose, such as London. The AI company never sees your data, and the AI step is set to keep nothing.For sensitive client data
- 03
In your own building
A private AI model on a computer in your office. No AI company ever sees your data.When nothing can leave
Most firms use more than one: client documents in your own cloud, everyday drafting in your provider’s.
Return known up front
You know the return on each agent before you invest anything.
Each one is costed first, with the hours it wins back and when it pays for itself.
Whichever way it runs
Every agent works under your control.
The same safeguards come with every one we build.
- 01
Its own login
Access to only the tools its job needs, and nothing else.
- 02
A person signs off
Anything that leaves your firm waits for a named person to approve it.
- 03
Every run on the record
A log of everything it did, and a switch to pause it.
- 04
The compliance work done
The data protection assessment, the map of where its data goes, and the wording for your engagement letter.
Questions
Questions owners ask first.
Where do our agents run?
In one of three places: your AI provider’s cloud, your own cloud account, or a computer in your office. Each one runs where its data is allowed to go.
How does a solution go live?
We build it, then test it with you on your real work, in your real tools. It goes live once it does the job, and we watch every run while it settles in.
Who owns a solution once it is live?
Someone in your firm. Every agent has a named owner, a record of every run and a switch to pause it.
How do we know what each one returns?
Each agent is costed before we build it, with the hours it wins back and when it pays for itself.
What if a solution does not do its job?
We agree what good looks like first. If it falls short, we keep working on it at no extra cost.
Do we need to have done Clarity first?
No. If you haven’t, we scope each agent with you before we build, so you know what it will return before we start.
Put secure AI to work in your firm.
Tell us where your team’s hours go, and we’ll show you what an agent would return.