AI Systems & Automation

AI systems that handle the work your team still does by hand.

Inquiries, scheduling, follow-up, records and reporting, built on the tools you already use and supported after launch.

  • Customer & Sales
  • People & Operations
  • Data & Integration
  • Reporting & Decisions
An operations floor at dusk seen from above, with people working at desks of wide dashboard displays.
An overhead view of a desk with a laptop, tablet, phone and keyboard, each showing a different part of the same dark-mode system.
What we build

Four areas of work, built as one connected system.

Most engagements touch more than one, sharing one set of data.

  1. Customer & SalesInquiries, follow-up, appointments and phone screening, without retyping between tools.
  2. People & OperationsOnboarding, scheduling and the processes that live in a spreadsheet or one person’s head.
  3. Data & IntegrationThe tools where your data lives, connected so a change in one reaches the others.
  4. Reporting & DecisionsReports your team can act on, and assistants that answer from your own documents.

See all sixteen services

Why this is different

How this differs from an off-the-shelf AI tool.

One more tool to check.

Built into the process, in the tools your team already uses.

Set up from a template.

Mapped from how your business actually runs.

Stalls on the exceptions.

Handles them, and escalates what it should not decide alone.

When it is wrong, nobody owns it.

Checked against your records before launch. Supported after.

How we work

Five stages, in order.

Nothing is built before the work is understood and the scope agreed.

The full process

  1. 01

    Understand the work

    Who touches it, where it stalls, which systems hold the information.

  2. 02

    Check the data

    The records the system will depend on, and what condition they are in.

  3. 03

    Agree the scope

    In writing: what is automated, what stays manual, what we need from you.

  4. 04

    Build and test

    On your existing tools, run against real past cases before going live.

  5. 05

    Launch and support

    Live in stages, documented, handed over, watched.

Where operations break

Pick the problem that sounds like yours.

Inquiries arrive after hours and sit unanswered until the person has moved on.

  1. Receive

    Picked up from inbox, form or phone the moment it lands.

  2. Sort

    Categorised and checked against your records.

  3. Answer

    A first reply with what was actually asked for.

  4. Pass on

    Anything needing a person, handed over with the thread.

A large open-plan office late in the evening, empty except for one person working at a lit screen.
After launch

What changes once it is running.

The work still happens. It stops depending on someone remembering.

  • Inquiries answered the same way, morning or night.
  • Routine time given back for work that needs judgment.
  • Records stop drifting; a number means one thing.
  • Anything unusual reaches a person with the history gathered.
Fit

Who we work with.

A good fit

  • A process that runs often enough to cost real time.
  • Work that follows rules a person could write down.
  • Connectable systems: a CRM, a calendar, a shared inbox.
  • Someone internally who knows how the work actually gets done.

Not a fit yet

  • Nobody is sure where the data lives. Solve that first.
  • No two cases look alike.
  • The goal is to be seen using AI, not to fix a specific problem.
  • The decision needs human judgment every time. We will say so.

Tell us which process is costing you the most time.

Describe the work you want to stop doing by hand. We will say plainly whether it is a candidate.

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