AI can remember everything, but does it understand why?
There's something organisations risk losing as they automate more of their finance operations and it isn't necessarily jobs, it's organisational memory.
Think about the finance professional who's been with a business for 15 years, they remember why a particular supplier contract was negotiated in a certain way, why an unusual accounting treatment was adopted, why a customer was granted different payment terms, why a particular control exists, even though nobody can find the original documentation.
That knowledge rarely lives neatly in an ERP system, it lives in conversations, relationships, experience and institutional history.
Now imagine that organisation automates much of its finance function.
The processes become faster, TRUE, The data becomes more accessible, TRUE, The reporting becomes more sophisticated, TRUE!
But what happens to the knowledge that was never formally captured?
AI can retrieve what an organisation has recorded, whereas it cannot reliably recover what nobody thought to document.
This creates an interesting challenge for finance leaders.
Perhaps one of the most valuable activities during AI transformation isn't simply mapping existing processes, it's capturing the reasoning behind them.
Why do we do things this way?
What exceptions exist?
Which decisions were made because of circumstances that no longer apply?
And which apparently inefficient processes actually protect the business from risks that aren't immediately obvious?
Technology can help preserve and organise institutional knowledge, but first, organisations need to recognise its value.
Before we automate what people do, should we be documenting what they know?
#HumanLedFinance #KnowledgeManagement #FinanceTransformation #AIAdoption #OrganisationalKnowledge