
Your AI kept running, measured and improving.
We manage your AI implementation and keep improving how your team puts it to work.
What we run for you,and how often.
From day one
- Platform setup
- On ChatGPT, Claude or PRESHos.
- Sign-on and security
- Directory sign-on, roles, approved plugins.
- Connectors and skills
- Connected to your business context.
- A dedicated contact
- One person who knows your setup.
Every month
- Workflow integration
- A new workflow built into how you work.
- Reporting
- Usage, results and what changed.
- Strategy briefing
- What is new and what to do next.
- Training
- Sessions that keep your people current.

Start fromthe problem you have.
Most teams already have AI tools. What is missing differs, so the first month does too.
- We map licenses, owners, use cases and risk, then consolidate tools where that improves control or cost.
- First output: a tool and license register with keep, consolidate and retire recommendations.
- We document the handoff, connect approved tools and place human review where judgment is needed.
- First output: a workflow map, the first automation to build and a clear starting measure.
- We define roles, approved data, the actions AI may take, when to escalate and where a person must review.
- First output: a plain-English table of who and what can read, draft, approve and act.
- We configure role-specific workflows, train on real work and support managers with adoption signals.
- First output: a role-based playbook, working examples and an adoption dashboard for the first use case.
- You get experienced people who evaluate options, answer questions and guide the important decisions.
- First output: a working session, clear recommendations and an ongoing path for questions.
One bounded improvement.Every month.
The month runs to the same three steps, so progress is steady and you always know what is being worked on.
Select
We agree one bounded workflow or process improvement, and the business measure that matters.
Release
We configure, test, document and introduce it inside your approved environment, on real work.
Evaluate
We review adoption, quality, cycle time or the measure we agreed, and use the evidence to set the next priority.
How it changeswith the size of the business.
| Managed AI | Small business | Midmarket | Enterprise |
|---|---|---|---|
| Built for | A simple, repeatable start with a low barrier to entry. | Operations for the workflows your team now depends on. | An embedded team working inside your program. |
| How it runs | One platform, set up and looked after. Training and office hours. | Monitoring and run triage. Connector watch as vendors change. | Architects and forward deployed engineers. Weekly working sessions. |
| Each month | One improvement | A planned change bundle | A steering committee |
| Review | A monthly brief and review | A monthly service and governance review | A quarterly review against agreed KPIs |
| Price | $3,000 a month | Scoped with you | Scoped with you |
What the monthlyreport covers.
The report is the agenda for the monthly review, where we plan the next improvements with you.

Usage and adoption
Who is using it, how often and for what work.

Results
Time saved, or the measure we agreed for the workflow.

What changed
The improvement released this month and how it landed.

Exceptions and issues
What went wrong, what we did about it and what is open.

AI usage
How much AI was used, so spend is never a surprise.

Next priorities
The next opportunities, in the order we would take them.
More onManaged AI.

What we run
What we take on, from day one and every month.

Plans
How the service changes with the size of the business.

Supported platforms
PRESHos, ChatGPT or Claude, and how we choose.

Reporting and briefings
What you see each month.

Getting started
From the first conversation to a live workflow.
Usage, results and costfor every run.

Cost per task
Every run carries its steps, tokens and cost.
By work item
Rolled up by person, agent and the work it was for.
Nothing hidden
Costs are marked actual or estimated, never left blank.

Someone ownskeeping up.
The tools change every month. Each month we brief you on what is new and what to do next, report on usage and results, and build the next workflow into how your team works.
Who does what,month to month.
- One owner who sets priorities
- A process owner for each team involved
- Vendor accounts, licences and API access active
- Us informed before a connected system changes
- What goes live, and what an agent may change
- Larger builds, which are scoped before they start
- Set up, connect, monitor and maintain the platform
- Build, test and document each improvement
- Coach your people and answer their questions
- Report every month and plan the next step with you
Keep ownershipoptional.
If you decide to run it yourselves, there is a transfer process. Nothing is held back.
Document
The active AI assets and who owns each one.
Transfer
The backlog and the measurement history.
Review
Governance and the known risks, with your owner.
Train
The person on your team who takes it over.
Hand off
A roadmap your team owns, and a final handoff.

A monthly service,sized to your business.
Managed AI is billed monthly. The small business plan has a published price. Midmarket and enterprise services are scoped with you.
Need AI builtinto your own systems?
AI Implementation is how we build AI into the systems you already run, with our engineers working inside your environment, alongside your team.
Relatedreading.
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Who keeps your AI running?
Tell us what is live today or about to launch, and we will talk through what ongoing operation should cover.