Pillar 02 · Managed AI

Managed AI

Working apps on your own HubSpot, QuickBooks and Microsoft data, built and run for you, and priced separately from support.

What it is

Most companies of our clients’ size have the same shape of admin: quotes that become orders, orders that become invoices, invoices that become chasing, and a handful of systems that never quite talk to each other. Managed AI is that work, done by software, watched by an engineer.

We build it on the systems you already run, HubSpot, QuickBooks Online and Microsoft 365, rather than asking you to move to something new. And we run it afterwards. An app that nobody looks after is a liability; one that an engineer checks every morning is a member of staff.

Three ways in

How it runs: Kaizen AI

The same continuous-improvement approach we run support on, pointed at AI. Five steps, repeated: Assess where you really stand · Govern with guardrails and a one-page policy · Deploy the right tools where the payback is clearest · Monitor how they behave · Improve at your pace. It starts with a short, fixed-scope AI Readiness Assessment: where you stand, what is exposed, the two or three highest-value, lowest-risk opportunities, and a costed plan. Every milestone after that is tracked live in your client portal.

Proof we can show you

We run our own business this way. Our client portal, our quote-to-invoice engine and the assistant in this website’s front page are all built and run by the same team, on the same tools we would use for you. We can show them working on sample data on a call.

What is included

In plain words

  • A first conversation about what AI could do for your business, in plain words
  • The basics done properly: Microsoft 365 with Copilot set up, and an AI policy your staff can follow
  • HubSpot and QuickBooks run as one system: quotes to invoices, supplier bills, reconciliation, reports
  • Assistants over your own data, with your permissions, that answer questions and prepare actions
  • Reporting in Power BI from the data you already have
  • Ongoing running: we operate what we build, and an engineer is accountable for it
In the portal

How it shows up day to day

Our client portal is our own Managed AI in daily use. The assistant answers from live data, orders go from quote to invoice without anyone rekeying, and an engineer sees every step.

See the portal →

Senior engineer

Decides what the app may do, checks its work, and owns the outcome.

Assistant

Reads the quote, raises the invoice, reconciles the payment, flags the exception.

The same job, both sides. An engineer decides; the assistant does the running around.
2006
Established
20
Years, and counting
3
London-area offices
6
Regions with client sites
8
Services, one agreement

Live service numbers, measured weekly and dated, are coming to this strip. We publish nothing we have not measured.

Questions

Questions people ask

Is this a chatbot?
No. It is the admin your business already does, done by software we build and run, with a person accountable for it. A question box is one small part.
Is AI included in Managed IT?
No, and on purpose. AI work is scoped and priced on its own so you can see what it costs and what it does. Support stays support.
What about our data?
It stays yours and stays where it is. Apps read with the permissions you give them, start read-only, and every action is logged. Nothing is used to train anything.
Where do we start?
With a conversation, not a proposal. Let's Talk AI is a first call that ends with a short list of what is worth doing first.

Start with a conversation.

Let's Talk AI is a first call that ends with a short list of what is worth doing first.