
The AI CFO: Autonomous budgeting, forecasting, and programmatic spend execution
A philosophical but concrete sketch of an AI CFO that plans continuously, allocates capital as code, and executes spend programmatically under hard controls.
All of my long-form thoughts on AI, programming, product development, and more, collected in chronological order.

A philosophical but concrete sketch of an AI CFO that plans continuously, allocates capital as code, and executes spend programmatically under hard controls.

A practical model for growing AI agent autonomy - levels, controls, and KPIs - grounded in risk frameworks (NIST AI RMF, ISO/IEC 42001) and aligned with EU AI Act oversight.

A blueprint for agentic B2B integrations that generate OpenAPI/AsyncAPI contracts, prove compatibility with contract tests, and self-maintain as systems change.

A near-future sketch of "market twins": shared, privacy-preserving simulations fed by many firms that run experiments, discover efficient prices, and nudge inventory - without exposing raw data or colluding.

What changes when agents own strategy and execution? Legal structure, accountability, pricing models, failure modes, and the minimum governance to ship safely.

From UK home sales stuck in 12–20+ week conveyancing cycles, to hiring that drags ~40 days, to finance teams drowning in reconciliations, some sectors are structurally overdue for AI efficiency gains. We'll start with conveyancing/housing, recruiting discovery/matching, and accounting close/reconciliation - then add insurance claims, construction ops, healthcare admin, and public-sector back-office - showing where agentic workflows (document intake, contract checks, entity matching, claims triage) can cut weeks to days, and why the timing finally makes sense.

A tight, repeatable 10-day pilot that shows financial impact, defines stop/go cut-offs, and ends with a clean handover.

A production template for WhatsApp support automation: compliant flows, human takeover, full audit trails, and routing that respects SLAs and customer tiers.

A practical playbook to protect gross margin in e-commerce using rule-based pricing, automated invoice checks, and anomaly detection with clear audit trails.

A pragmatic, vendor-agnostic LLMOps architecture that ties traces, evaluations, guardrails, and hard cost budgets to releases - so you can ship safely and keep control.