For larger organisations

AI and automation that fit the systems you already run

Larger organisations rarely have a technology gap. They have a volume problem — capable, well-paid people spending their week on work that should not need a person. We build the systems that take that work off them, alongside what you already have.

See what we build for you ↓
Custom solutions

And this is what we build for you

Beyond the ready-made services in our Store, this is work we scope, build and deliver against your own process. Nothing here is off the shelf, and nothing here is a product we are claiming to already have — it is what we build, to order.

For an enterprise this is scoped against your existing stack, and built to sit beside what you already run rather than to replace it.

Digital platforms

  • Digital service platformsApplications, registrations, tracking, payments and notifications.
  • Citizen and customer assistantsGuided answers on your own services, at any hour.
  • Custom portalsFor customers, citizens, staff, vendors, partners or applicants.
For enterprisesA vendor portal that replaces the mailbox where supplier documents currently arrive.

AI systems

  • AI staffAn assistant trained on your own knowledge, not on generic web text.
  • Document AIYour document types, your checks, your thresholds — computed in code.
  • Custom AI systemsWhere the problem is genuinely yours and nothing off the shelf fits.
For enterprisesAn internal assistant on your policies and procedures, so the answer does not depend on who is at their desk.

Automation

  • Workflow automationThe handoffs between people and systems that currently run on email.
  • Dashboards and reportingOperational and management reporting without the manual assembly.
  • Digital transformationMoving a manual, paper-bound process into a tracked digital one.
For enterprisesA monthly reporting pack that is a page someone opens, not a week someone loses.
Not a slide deck

Two systems you can use before you speak to anyone

Most technology suppliers ask you to imagine what they could build. These are running on this website right now. Open them, use them on your own material, and judge the engineering before you judge the pitch.

Live now

AI Staff

An AI staff member that knows HBMB — what we build, what it costs, what we will and will not take on. Ask it anything you would ask a person on our team. It is the same system we build for organisations on their own knowledge.

Talk to AI Staff →
Live now

AI Document Intelligence

Upload a bank statement, invoice, receipt, contract, delivery note or application form and get a structured reading of it — every figure calculated in code, never guessed by a model, with the checks that failed named plainly.

Try it on your own document →

Both are built the same way, and it matters more than it sounds: your document is read inside your own browser and is never uploaded to us. Only the extracted text is sent, and only so the written summary can be produced. We never receive the file, so there is nothing of yours for us to store, leak or be asked to hand over.

You can verify that rather than take our word for it. Open the document tool, press F12 for your browser’s developer tools, choose the Network tab, then analyse a document. You will see the text of your document go out for the summary — and you will not see your file go anywhere at all.

Starting points

Where enterprise work usually begins

A team reads documents all day

The same engine behind our public document tool, pointed at your document types, with the rules your reviewers actually apply encoded in code rather than in habit.

The knowledge lives in three people’s heads

An internal AI assistant trained on your own material, so the answer does not depend on who happens to be at their desk.

Reporting is assembled by hand every month

A dashboard fed from the systems you already run, so the monthly pack is a page someone opens rather than a week someone loses.

Start with one process, not a programme

Tell us the process that consumes the most people-hours. We will scope that one thing, prove it, and only then talk about the next.

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