Perspectives from the CFO's engineering desk.
Research, reference architectures, and lessons from the field — for finance leaders modernizing their operating model.
How AI Is Transforming FP&A
Large language models are moving FP&A from data aggregation to decision support. Here is how leading finance teams are already applying them.
What Are Forward Deployed Finance Engineers?
A new operating model is emerging inside finance — engineers embedded in the CFO's team, shipping production code instead of slide decks.
Building a Modern Finance Data Platform
The reference architecture that underpins every credible AI, planning, and reporting program in finance today.
Snowflake vs Databricks for Finance
A pragmatic comparison for CFO organizations evaluating cloud data platforms in 2026.
The Future of Enterprise Finance
Finance is becoming a software-defined function. The implications for talent, structure, and technology are profound.
How CFOs Should Adopt AI
A practical framework for CFOs sponsoring their first enterprise AI program.
Finance Automation Best Practices
The automation programs that stick share a common set of design principles. The ones that fail share a different set.
Building the Modern Finance Stack
The current reference stack for mid-market and enterprise finance in 2026 — and where the seams still hurt.
Why Semantic Layers Matter
The semantic layer is the difference between AI that guesses and AI that answers correctly.
The Rise of AI Agents in Finance
Agentic AI is beginning to move from research to production inside finance. Here is what leaders should expect.
Bring engineering discipline to your finance transformation.
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