Every finance leader is being asked the same question this year: what is your AI plan? The pressure to answer quickly has produced a lot of automation layered onto processes that were never standardised in the first place.
Our governing principle is blunt. You cannot automate chaos. Order matters: you fix before you automate, and you automate before you layer on AI.
Skipping a step does not save time, it moves the cost. Automating a non-standard process encodes its variation permanently, and every downstream model inherits it. Cleaning that up later is more expensive than sequencing it correctly at the outset.
The order we apply is deliberate: map where the work goes, standardise it, adopt leading practice, automate the routine, connect the workflow, unify the data, and only then apply predictive and generative tooling.
A forward-engineered finance function has clean data, standardised process and documented controls before any model touches it. The result is automation that compounds rather than automation that has to be unpicked.
