AI Maturity Model
Stage your AI adoption the way you stage any capital program.
AI implementation should be managed as a portfolio from the beginning. Some areas may remain in the crawl phase for an extended period while others mature rapidly. What matters is that each stage prepares the ground for the next. The urge to accelerate prematurely is the single biggest risk to enterprise AI programs.
Before You Start
These filters don't eliminate projects from the roadmap. They determine whether an initiative belongs in crawl, walk, or run.
Even with modeled ROI, projects with very high up-front investment should be deferred until the organization has proven capabilities.
Early projects work best where processes are structured and repeatable. Invoice matching beats free-form narrative generation as a starting point.
Workflows tied directly to financial statements or regulatory filings should wait. The filter: if this system made a mistake, what would be the downstream impact?
The best early projects are highly visible to leadership and recur frequently enough to demonstrate tangible benefits within a quarter.
The Roadmap
In the crawl stage, the CFO directs investment toward low-risk, high-feasibility initiatives that can be delivered quickly and measured accurately. These are organized, rules-based workflows: invoice matching, expense audits, initial variance explanations.
Key Insight
Demonstrate financial discipline by showing value in areas where problems can't materially harm the organization. Build the governance muscle before it has to bear weight.
Once credibility is established, the CFO can introduce more interconnected and judgment-driven projects. These offer greater economic benefits but also come with higher complexity and higher stakes.
Key Insight
Proving that AI-enabled processes can operate at scale within the finance function while governance and oversight keep pace. This is the hardest stage because the temptation to skip ahead is strongest.
The run stage is when the finance function pursues its most ambitious goals. With faster cycle times and near real-time reporting, finance is elevated from a reporting function to a genuine strategic partner.
Key Insight
The rewards are greater, but so are the risks. Run-stage initiatives only succeed when the crawl and walk stages have built enough governance infrastructure to support them.
Important Distinction
Crawl-Walk-Run is not a rigid or even linear calendar. Some initiatives may remain in crawl for extended time periods while others move quickly into the walk phase. What matters is that each stage prepares the ground for the next.
The interconnected nature of finance processes means AI adoption in one area often enables progress in another. Success in invoice automation (crawl) generates clean data that makes anomaly detection (walk) possible, which in turn enables continuous monitoring (run). The model reflects organizational readiness, not just technical capability.
Assess Your Stage
We help finance leaders assess their AI maturity, identify the right starting point, and sequence initiatives for maximum credibility and minimum risk.