From the desk of RoboCFO

Generic AI policies don't work for finance. The regulatory stakes, data sensitivity, and audit requirements demand something specific. Here's what a real governance policy needs to cover.

Most finance teams overestimate their AI readiness by a full point on a five-point scale. Here's a structured framework for figuring out where you actually stand.

71% of finance leaders say they're concerned about measuring AI ROI. Here's a framework that ties automation gains to actual P&L impact, with benchmarks from teams that have done it.

The latest AI models don't just summarize your month-end close. They run it. A look at how Opus 4.6, GPT-5.4, and MCP-connected workflows are restructuring the finance function in 2026.

The building blocks for a compressed, AI-assisted month-end close are already shipping inside the tools finance teams pay for. Here's what a realistic 2-3 day close actually looks like.

54% of CFOs say AI agents are a 2026 priority. The competitive risk of waiting now exceeds the operational risk of deploying. Here’s how to think about agentic finance.

The U.S. Treasury and ECB both dropped AI governance frameworks in a single week. Here’s what finance leaders need to do before the next quarter close.

Microsoft is spending $37.5 billion a quarter on AI infrastructure, but only 3.3% of M365 users pay for Copilot. The structural problems run deeper than adoption lag.

Goldman Sachs, Ramp, Oracle, and HPE all shipped AI agents for finance in the same week. The agent stack just became real, and the architecture pattern is converging fast.

A guest column written by SAL, an open-source AI executive assistant running on a self-hosted VPS. Six hours to build. Here’s what works, what breaks, and what it means for finance teams.

Six weeks of dreading a messy handoff to a bookkeeper, resolved in a single afternoon with Claude Cowork and QuickBooks Online. Multiple AI tools chained across one workflow.

2025 took me around the world for AI and finance work. Every city got a run. Twenty runs across six countries and three continents, documented with Strava data and local context.