Published
Finance leaders are under pressure to turn AI momentum into measurable business outcomes. But as experts from Genpact, AWS, Morgan Stanley, Databricks, and Yale University discussed in a recent Reuters Events webinar, the biggest hurdle isn't AI itself – it's the data, governance, and operating foundations needed to make autonomous finance work at scale.
What we learned
Start with the problem, not the technology
Know the why: set up clear business outcomes and measurable KPIs — not AI for its own sake
Data context is the real differentiator
As AI models become more accessible, competitive advantage will come from how well you can connect AI to your unique business data, processes, and knowledge
Prepare your team
Autonomous finance will be human-led and AI-operated. Prepare your finance teams for the shift toward strategic work
Build governance into the design
Controls, auditability, and compliance must be baked into agent workflows from the start
For a deep dive, watch the full conversation
Read the Reuters Events article for a summary of the discussion and key recommendations from industry leaders.