Run / Run it for less

What does it cost us to serve this book, and what can come out?

Your systems were never integrated with each other, so your people became the integration layer. And none of it is measured — nobody can tell you what a single transfer, valuation or account opening actually costs to process. Headcount scales with assets while margins are under pressure.

For a group, this is the synergy case: the line in the model that was supposed to justify the multiple.

What we actually do

A live model of how the operation really runs.

We build a live model of how your operation really runs: every function, every process, every activity, with the systems it touches, the effort it takes and the risk it carries. It is read from your own procedures and system exports in days rather than built in a six-month mapping exercise — and it updates itself as the operation changes, with a named person approving every change.

For the COO

You see what each activity actually costs and where the hours really go — not what the process document says should happen.

For the CTO

You see which systems each piece of work crosses, and which missing integrations are quietly being paid for in headcount.

For the CRO

You see where the controls sit, which steps depend on one person knowing something, and where the evidence would not survive a file review.

No timesheets: every activity is timed from the systems the work already crosses.

What it covers

Measured, then automated.

1

Every function

The whole operation mapped — every function, process and activity — read from your own procedures and system exports.

2

Every system touched

Which systems each piece of work crosses, and where missing integrations are quietly being paid for in headcount.

3

Every hour accounted for

Each activity timed from the systems the work already crosses — no timesheets, no estimates.

4

Every change approved

The model updates itself as the operation changes, with a named person approving every change.

What you get

Outputs, not activities.

True cost to serve

True cost to serve, computed rather than estimated.

A ranked automation backlog

Baselines locked before anything ships, so benefit is provable afterwards rather than asserted.

Autonomy earned on evidence

It tightens automatically if accuracy dips, four-eye checks become digital approval gates, and the audit trail writes itself.

A benefits dashboard

A line of sight between expected and actual savings, for every delivery and every operational change.

How it starts

One fixed-price first step.

2 wks

Cost-to-serve discovery

Fixed price, one function, on your own data. You get the true cost of serving a client, a ranked list of what to automate first, and what each one is worth.

Questions we get asked

Plain answers, no dodging.

We already have an automation programme.

Then you know the hard part isn't the bots — it's knowing which process is worth automating and proving the benefit afterwards. Take the Pepsi Challenge: your approach against what you would get with a maintained capability model at the heart of the business.

Just point AI at it.

That's the trap. Automate the estate as it stands and the best case is a faster version of the wrong process, running over data you can't trust.

Not another six-month mapping exercise.

Agreed — that is exactly the exercise we replace, and it is a waste of time and money.