After AI Fever: When to Automate Finance Processes

After AI Fever: When to Automate Finance Processes

Finance teams adopted AI at scale; 98% now use it, but transformation has stalled. Pleo’s latest research found that over half of finance leaders spend more time policing spend than shaping strategy. AI was meant to change this.

This session argues that the most effective AI for finance is one that's honest about where it can't go. Because AI doesn’t replace finance craft, it clears the noise so leaders can focus on judgement. We'll explore how intelligence that knows its limits speeds up approvals, earns auditor trust and puts decision-making right back where it belongs: with you.

What you will take away

• AI Adoption ≠ Transformation: 98% of finance leaders now use AI, yet transformation has stalled. Widespread tool adoption doesn't automatically drive business impact without the right strategy and workflows; AI becomes another checkbox rather than a catalyst.
• The Spend-Policing Trap: Over half of finance teams spend more time policing spend than shaping strategy. This reactive cycle wastes leadership capacity that should be focused on judgement calls, forecasting, and driving business value.
• AI Works Best With Honest Limits: The most effective AI isn't the one that promises to replace finance craft; it's the one honest about what it can and cannot do. Knowing where AI stops helps teams deploy it where it matters most.
• AI Clears Noise; Judgement Shapes Strategy: AI's real power isn't automation for automation's sake; it's removing administrative friction and routine work so finance leaders can focus on what only humans do well: strategic decision-making and complex judgement.
• Selective Automation Beats Comprehensive Automation: Not every finance process should be automated. The winning approach: automate what's repetitive and low-risk, preserve what requires expertise, and use the time saved to tackle strategic finance challenges.