Insights for Finance Leaders

Research-backed frameworks on AI implementation, governance, and cost management for CFOs navigating the AI transition.

Process Selection

Probabilistic AI. Deterministic Problem.

Excel Copilot got every final-year number wrong. LLMs achieve only 78% accuracy on math. The Deterministic Handover is the architectural principle that prevents these errors in finance.

March 2026 6 min read
AI Cost Management

Why AI Costs Up to 10x More Than Planned

AI has a fundamentally different cost structure than enterprise software. Gartner finds estimates are off by 500–1,000%. Here's what drives the gap — and how to govern it.

March 2026 7 min read
AI Governance

40% of Agentic AI Projects Fail by 2027: How FP&A Succeeds

Three architectural foundations separate agentic AI winners from failures: process design matching technology to task, control boundaries embedded from the start, and verified data governance.

February 2026 10 min read Published on FP&A Trends
AI & Finance Teams

AI Turns CFO from No to ROI: Upskill, Don't Downsize

97% of finance teams are still seen as the Department of No. 57% of CFOs expect AI to cut headcount. McKinsey's data shows why upskilling beats downsizing for AI ROI.

January 2026 9 min read
Finance Skills

3 Levels of Finance Relevance: Where Does Your Team Sit?

AI automates Level 1 finance work and is climbing toward Level 2. The organisations getting it right are moving their people to Level 3 before the algorithm catches up.

January 2026 7 min read
AI Architecture

The Three-Layer AI Architecture for Finance

Most discussions treat AI approaches as evolutionary stages. Complex finance organisations need Foundation, Intelligence, and Flexibility working together as a complementary stack.

January 2026 4 min read