AI investments with a solid business case

You are asked to approve initiatives whose benefit is justified as "efficiency gains". That is not a number, that is a hope.

Your agenda

AI arrives as a tool list, and you have to sign it as an investment.

As CFO you decide on investments that have to pay off, and AI initiatives often arrive without the figures that carry a decision. What gets named are tools and percentages from studies, not the case volumes, handling times and running costs of your own company.

The second difficulty is operations. Classic software has licence and maintenance costs that can be planned. AI operations scale with volume, and whoever does not model that ends up with a variable cost position without a cap.

And finally you need reliable numbers for your own steering. When the forecast is off at the end of the quarter and nobody can name the cause, that is not a sales problem, it is a data problem.

If at least one of these points applies, an initial consultation is worthwhile.

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Two colleagues look at a pair of monitors seen from behind at a finance desk, one seated and one standing with a tablet.
What stands in the way…

Investment requests name tools instead of calculated effects.

An empty office after dark with a laptop, a lit desk lamp and a single sheet of paper on a dark desk in front of a dark wall.
What stands in the way…

The running costs of AI operations are not modelled.

Two hands on a keyboard in front of a monitor showing a blurred grid, with two blank sheets on a leather folder beside them.
What stands in the way…

The monthly close needs manual work in spreadsheets.

A man seen from behind works on a laptop at a train window seat, a paper cup beside it on the tray table and rows of dark grey seats ahead.
What stands in the way…

The forecast deviates without a nameable cause.

Two colleagues at a shared desk turn their laptops inward so both screens stand side by side, one pointing from one screen across to the other.
What stands in the way…

Two departments calculate the same metric differently.

What changes for you

Every step carries a calculated case before anything is built.

01

Business case before the build

Case volume, time per case and running costs calculated before anything is invested.

02

Predictable operations

Model costs per case, monitoring and a cap: a plannable position instead of an open one.

03

A close without manual work

Reports come out of the system reproducibly, independent of one person and their spreadsheet.

04

A forecast with causes

Defined stage criteria make deviations explainable, and that makes them steerable.

How you measure it

Four figures decide the approval, and a fifth watches the operation.

Four figures per initiative matter for approval: cost of the build, running cost per case, saved handling time and shortened cycle time. The last one is overlooked most often although it usually has the bigger effect: tied-up capital and lost enquiries arise in the waiting, not in the processing.

In operations a fifth one joins: cost per completed case over time. If it rises without growing volume, something is drifting, which is why monitoring is part of operations and not an optional extra.

FAQ

Frequently asked questions: CFO

How reliable is an AI business case?

As reliable as its inputs. Case volumes and handling times usually already sit in the system; the automation rate we estimate on real cases, not on study figures. Where the data is not sufficient, we say so.

What does running AI agents cost?

Essentially model costs per case plus monitoring. That scales with volume, so it can be modelled and capped. The ongoing measurement comes from Agent Monitoring.

Why is our forecast unreliable?

Almost always because pipeline stages are not defined and everyone reads them differently. That is a process and definition topic, not a tooling topic; see CRM Strategy & Process Design.

From what size does this pay off?

It depends on case volume, not on company size. A high-frequency process pays off in the mid-market just as in a large corporation; a rare edge case in neither.

What if an initiative does not pay off?

Then we do not recommend it. The business case is built before the build so that exactly this answer stays possible.

first step

The first step towards an agent-native company.

In the Enterprise Discovery Workshop we develop a clear target picture and a business case that holds up, in a matter of days. Fixed price, no open-ended day rates.

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