PRESHaiPRESHai
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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.
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Start fromthe problem you have.

Most teams already have AI tools. What is missing differs, so the first month does too.

Unmanaged AI tools
  • 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.
Manual handoffs
  • 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.
Permissions and security
  • 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.
Low adoption
  • 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.
No one to ask
  • 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.

  1. Select

    We agree one bounded workflow or process improvement, and the business measure that matters.

  2. Release

    We configure, test, document and introduce it inside your approved environment, on real work.

  3. 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 by size of business
Managed AISmall businessMidmarketEnterprise
Built forA 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 runsOne 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 monthOne improvementA planned change bundleA steering committee
ReviewA monthly brief and reviewA monthly service and governance reviewA quarterly review against agreed KPIs
Price$3,000 a monthScoped with youScoped 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.

PRESHos agent runs report listing sessions with run counts, token usage and effective cost.
Agent runs, with tokens and cost per session.
  • 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.

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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.

You name
  • One owner who sets priorities
  • A process owner for each team involved
You keep
  • Vendor accounts, licences and API access active
  • Us informed before a connected system changes
You approve
  • What goes live, and what an agent may change
  • Larger builds, which are scoped before they start
We do
  • 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.

  1. Document

    The active AI assets and who owns each one.

  2. Transfer

    The backlog and the measurement history.

  3. Review

    Governance and the known risks, with your owner.

  4. Train

    The person on your team who takes it over.

  5. Hand off

    A roadmap your team owns, and a final handoff.

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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.

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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.