How we work
Every Acrobatic engagement, whether it redesigns a finance function or decides where AI changes the work, follows the same few rules. They are short enough to fit on this page.
We start and finish with the business case.
Before anything is built, we help your finance lead write a baseline and a case that sets a target and a floor. At the end, a closing case reports what was achieved, reconciled to your accounts. The case is yours: we draft it on your behalf, and your finance lead owns and signs it.
We count value in three categories and only one of them is money.
Cash is spending removed or income added. Capacity is time freed and moved to named work. Outcome is better quality, speed or service. Only cash enters the cash case. Capacity and outcome matter, and they are reported beside it, but they are never dressed up as savings. A cash benefit is recognised on the day a post, a contract or a spend line leaves the budget, never when a system goes live or a tool is switched on. Your finance team owns the benefits register; the programme team cannot write to it.
We set gates against your budget cycle.
Every programme has dated points where your board can stop or reshape it. The gate that puts the benefits into next year's budget is the one that matters most, so the work is planned to reach it in time. Each gate records what was expected, what happened, and which of our starting assumptions you changed and why.
We label every rule.
Our methodologies state, for each module, what is set up, who owns it, what it costs, how you know it is working and what makes it fail. Each rule is a principle, a default you adjust, a hypothesis we are testing, or evidence from a published source we have read, with its limits. We keep a results log across engagements and review our hypotheses against it every six months. We do not claim our defaults are proven until they are.
We know where one service ends and the other begins.
Finance Transformation changes the finance function itself: operating model, processes, systems, data and controls. AI Enablement decides where AI changes work across all functions and proves the cash result. They share one process inventory, one data contract and one benefits register, and one programme claims each saving. Where a workflow could belong to either, the source of the cash decides which leads.
We are senior-led.
The practitioner who scopes your engagement leads it and is accountable for the whole result. Specialists, named associates with current depth in the platform, the data, the testing or the consultation, are engaged for the workstream that needs them. Every role is marked in advance as ours, an associate's or yours.
If you want the detail, the two methodologies are written to be read: plain English, short sentences, and every number labelled.
- [email protected]
- Telephone
- +44 7887 742418
- Location
- London, United Kingdom