On-chain treasury: a CFO's framework
A CFO's framework for an on-chain treasury — classification before policy, custody as control, liquidity as discipline, and the four questions that resolve most edge cases.
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Index
Working notes from the practitioner's desk. Shorter than the flagship essays, more focused than a column — each post answers one question a CFO at the intersection of blockchain, AI, and global commerce has to resolve.
I
Blockchain
Ten focused posts on treasury, settlement, accounting, regulation, and audit — feeding into the flagship Pillar I framework.
A CFO's framework for an on-chain treasury — classification before policy, custody as control, liquidity as discipline, and the four questions that resolve most edge cases.
How a CFO accounts for carbon credits on the blockchain — recognition, measurement, retirement, and the disclosure obligations that follow from on-chain verifiability.
A working MiCA checklist for the CFO — perimeter, classification, reserves, disclosure, and the four mistakes finance teams make before authorisation.
When stablecoins belong in a corporate treasury, why the working-capital case is real, and how much exposure the policy should permit before discipline becomes dependence.
How proof-of-reserves changes the audit of a crypto-holding entity, what it does well, what it does badly, and the procedures the CFO must keep alongside it.
What changes for the CFO when the entity's own token sits on its balance sheet — classification, measurement, disclosure, and the discipline of consistency.
What happens to the monthly close when settlement is final at the moment it occurs — the control shift, the tagging problem, and the new audit trail.
Smart contract risk for the finance function — what the CFO must own, what she can delegate, and the governance pattern that survives audit and incident.
Multi-jurisdiction crypto tax for a global platform — VAT, OSS, DAC7, withholding, and the architecture that lets a CFO meet obligations without manual reconstruction.
What the CFO contributes to blockchain governance — the controls, the disclosures, the audit bridge, and the limits of what finance can decide alone.
II
AI
Ten focused posts on governance, FP&A, cost, organisation, and the limits of automation — feeding into the flagship Pillar II framework.
How agentic FP&A changes financial planning — the continuous forecast, the governance of automated outputs, and the line between signal and noise.
How a CFO calculates the full-stack cost of AI — compute, integration, data pipelines, governance, model refresh, and the operating costs that don't appear in the proposal.
How a CFO governs AI in the finance function — model risk, data provenance, access control, audit readiness, and the documentation that survives examination.
How a CFO builds an AI-native finance team — the structural changes, the hiring profile, the career pathway, and the transition cost most finance leaders underestimate.
How AI changes the financial close — what compresses, what does not, what the controls require, and the sequence that gets the time savings without the audit findings.
How a CFO deploys AI anomaly detection in the finance function — calibration, signal-to-noise, the human review layer, and the controls that make the system reliable.
How a CFO acts as the capital allocator for AI investment — milestone gating, build-buy-partner discipline, the counterfactual test, and the literacy required to do the job.
What an external auditor expects to see in an AI-enabled finance function — the documentation, the controls, the review evidence, and the conversation that closes the file.
How AI changes gross margin — where the unit economics shift, where they do not, and the CFO's framework for separating real margin expansion from accounting illusion.
Where AI cannot replace the CFO — the judgement layer, the accountability, the relationships, and the parts of the job that exist because someone has to be responsible.