AI strategy
Enterprise AI ROI: How Leaders Prove Progress Before Outcomes Exist
Learn how enterprise leaders prove AI progress through adoption, productivity, and orchestration—even before ROI is fully measurable.
Learn how AI leaders measure AI adoption, governance, and ROI
150+
Automations built by an 8-person accounting team, with no dedicated IT support
25%
Reduction in month-end close time, by automating data gathering, exception flagging, and reconciliation
83%
of enterprise leaders identify shadow AI and compliance failures as their top risk
4 agents
Built to manage FX risk across 7 subsidiaries, surfacing recommendations with a single Slack approval
What you'll learn
How to identify which finance workflows are safe to automate first and the design principle that keeps human judgment in the loop
The exact governance architecture Zapier's team uses so every automated action is logged, approved, and auditable
How to build AI agents that make recommendations without making decisions — and why that distinction is the key to getting CFO sign-off
Four specific steps: managed connections, action-level controls, workspace governance, and a single governed connection for every AI tool your teams use
A 4-stage framework for moving from proxy signals to auditable, boardroom-ready ROI proof
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