2 min read
AI is starting to sit inside the finance engine room. Across European SMEs, CFOs, finance directors and operations leaders are testing models that touch forecasting, close and reconciliation, risk modelling, audit readiness, treasury automation and credit decisioning, often embedded in tools your teams already use. The speed of change is high, the underlying data is messy, and the regulatory perimeter in Europe is still moving, which makes it difficult to separate meaningful capability shifts from over-promised pilots and narrow proofs of concept.
The AI in Finance section tracks what is actually in production in finance teams like yours, how those projects are governed, and what breaks when model behaviour meets real-world constraints such as internal controls, auditors and banking partners.
Our reporting leans on company filings, earnings calls, analyst briefings, original interviews and technical reviews of deployed systems, so coverage stays grounded in financial impact, not generic transformation stories. If you know AI now matters for your finance function but lack the time and sourcing to reliably sort signal from vendor noise, this is written for you.
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