Minimum-Governance Pilot (MGP)
The 90-Day AI Pilot
Prove value in one quarter. Scale what works. Retire what doesn't.
Most enterprise AI projects fail because they never escape the lab. The MGP is a structured 90-day execution cycle that turns ad-hoc experiments into governed, measurable pilots. Each cycle answers three questions: does this create value, can it operate within our controls, and is it repeatable?
Key Components
- Five linked components: Readiness, Thin Slice Delivery, Evaluation, Evidence, Decision Gate
- Designed for finance teams that need audit-ready documentation from day one
- Chains into multi-quarter roadmaps through connected MGP sequences
Tangible + Strategic ROI
The Dual ROI Lens
Tangible ROI pays for the investment. Strategic ROI keeps paying back.
Traditional ROI models treat AI like an ERP upgrade: deterministic, binary, measured in cost savings alone. The Dual ROI Lens separates AI returns into tangible ROI (P&L impact you can measure today) and strategic ROI (compounding capabilities that raise the ceiling on future value). Together they give CFOs a portfolio view of AI investment.
Key Components
- Tangible ROI: cost savings, cycle-time compression, error reduction, revenue lift
- Strategic ROI: decision-cycle compression, forecast accuracy, knowledge capture, team leverage, risk anticipation
- The compounding loop where freed capacity generates new capabilities that unlock further returns
AI Maturity Model for Finance
Crawl-Walk-Run
Stage your AI adoption the way you stage any capital program.
AI implementation should be managed as a portfolio from the start. The Crawl-Walk-Run model sequences initiatives based on risk appetite, data maturity, and organizational readiness. Low-risk automation pilots build credibility. Judgment-driven projects expand scope. Strategic bets deliver transformation.
Key Components
- Crawl: rules-based automation that proves governance and delivers quick wins
- Walk: interconnected projects like forecasting and anomaly detection with scaled controls
- Run: strategic bets including continuous close and agent-driven workflows
2026 Guide for CFOs
AI-Native ERP Landscape
Seven startups are rebuilding finance infrastructure from scratch. Here is what CFOs need to know.
A comprehensive analysis of the AI-native ERP market, covering DualEntry, Campfire, Rillet, Nominal, Doss, Everest Systems, and Keel. Includes a comparison matrix, 10 demo questions every CFO should ask, compliance deep dive, and migration reality check.
Key Components
- Full-stack replacements vs. augmentation layers vs. ops-focused platforms
- SOX readiness spectrum: what audit-ready actually means for each vendor
- What 24-hour migration claims really include and realistic timelines for mid-market companies
The Full Picture
These frameworks are the beginning
The AI-Ready CFO covers eight interconnected frameworks for building an AI-powered finance function, plus detailed case studies, ROI templates, and governance playbooks. Available September 2026 from Wiley.
From the Blog
Recent posts exploring these frameworks in practice.
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