*New* AI Adoption Benchmarks for Finance Teams
Data backed insights from the Mostly Metrics AI CFO Survey on internal AI Adoption
Earlier this year, we ran a survey on how CFOs were using AI.
Halfway through the year, we hit refresh to go deeper and see if all those pilot projects are turning into something real.
The result? Progress… but it’s not evenly distributed.
Yes, AI is showing up in meaningful ways:
Forecasting is faster,
Close is tighter, and
ChatGPT has become everyone’s junior analyst
But for all the talk of copilots and automation, most teams still can’t measure ROI… and fewer than 1 in 5 have scaled AI org-wide.
So we pulled the data, crunched the stats, and built a new benchmarking report for you to answer one question:
Where do our teams stand on the finance AI maturity curve?
Let’s dive in.
AI Maturity by Company Size
Midsize companies are moving faster than enterprises (and SMBs)
AI maturity peaks in the $50M–$100M band, where 30% of companies report org-wide deployments, more than double the rate in both the lower and upper tiers.
Enterprise teams are often slowed by integration complexity, while smaller orgs may lack resources.
Mid-market companies are in the sweet spot: agile enough to experiment, structured enough to scale.
AI Boosts Output, Not Yet Replacing Jobs in Finance Teams
Q: “What impact has AI had on your finance team’s productivity and staffing?”
AI is clearly acting as a force multiplier, not a replacement engine.
70% of CFOs say AI has helped their teams move faster or deliver more. Only 12% have reduced headcount.
Many are redeploying people to higher-value work, rather than cutting roles.
Takeaway: This undercuts the popular fear narrative: in finance, AI augments; it doesn’t replace (at least not yet)
To download the full report on AI adoption within the office of the CFO, become a paid member. The goal is to arm you with the data and playbooks to make you better at your job. When you look at it that way, it’s a pretty great deal for just $150 a year.
In the report:
Why Most Team’s Haven’t Scaled Yet
Measuring the ROI on AI
AI Usage is Concentrated in Just 5 Workflows
Planning Confidence Is Quietly Rising
The Next Wave: Copilots, Anomaly Detection, and Auto-Recon
And more…