Farben Blog

The uncomfortable question isn’t whether Claude can “code” or whether it can “do finance.” It’s whether it can do the first pass of both — at scale, 24/7, and with increasingly strong tool-use.

This piece builds onto the reality that most CFOs aren’t held back by a lack of “AI” — they’re held back by the cost, risk, and disruption of replacing the core systems that run the business. The market is finally saying the quiet part out loud: you can’t bolt “agents” onto an organisation if the un

Why connectors matter (more than the model) AI agents become valuable when they can pull context from where work actually lives and then take controlled actions across systems (email, docs, ticketing, ERP/finance apps, data warehouses, etc.).

Most finance teams don’t “lose money” in one dramatic event. They lose it in small, repeatable cracks — the gap between what was agreed, what was delivered, what was billed, and what was collected.

From 2 August 2026, the majority of the EU AI Act’s rules apply (with some later deadlines for certain product-embedded high-risk systems). (Digital Strategy) Below is the finance-leader version — plain English, practical steps, and what’s most likely to matter for controllership and risk.

In 2026, finance teams won’t be buying “software”. They’ll be buying throughput — invoices processed, reconciliations completed, exceptions resolved, cash collected.

Two things are about to be true at once: AI capabilities will be embedded everywhere (including task-specific “agents” inside enterprise apps). Gartner has explicitly forecast a sharp rise in this direction by 2026.

and watching it pull live data from your ERP, flag risks, and reroute payment plans autonomously. No dashboards, no pivots, no manual clean-up.