Learn: AI, automation and the finance craft

11 worked guides, each written to answer one question properly.

• AI in finance: what it does well, what it does badly, and how to tell — A working guide to AI in finance: which tasks it genuinely improves, which it quietly degrades, and the one architectural split that separates a usable finance tool from a confident guess.
• Finance automation: what to automate first, and what to leave alone — A sequencing guide to finance automation: how to rank candidate processes by frequency and judgement, which four tasks almost always pay back first, and the three that reliably fail.
• Accounting automation: the close, the reconciliation, and the review — Where accounting automation actually works: shortening the close, reconciling without re-keying, and standardising review across clients. Written for firms and in-house teams.
• Financial process automation: mapping the process before you automate it — How to map a finance process properly before automating it, why the documented version is never the real one, and how to tell a process worth automating from one worth deleting.
• RPA in finance: what it solved, where it broke, and what replaced it — An honest assessment of robotic process automation in finance: the problem it was built for, the maintenance burden that surprised everyone, and how the approach has changed.
• AI agents for finance: what makes something an agent rather than a chatbot — What an AI agent is in a finance context, how it differs from a chat interface, why the useful ones compute before they write, and how to judge whether one is trustworthy.
• AI financial modeling: the parts it helps with, and the parts it must not touch — A structural guide to AI in financial modeling: why the model logic must stay deterministic, where language models genuinely accelerate the work, and how to review a model you did not build.
• Virtual and fractional CFO: what you are buying, and what it should cost — The difference between a virtual CFO, a fractional CFO and an outsourced controller, what each is worth, and how to tell whether you need one at all.
• AI CFO: a useful idea and a misleading name — What products marketed as an AI CFO actually do, which parts of a CFO role are genuinely automatable, and the parts that are structurally not.
• FP&A software: what the category actually contains — The four distinct things sold as FP&A software, which one solves which problem, and why most SMEs buy the wrong one first.
• Working capital management: reading the cycle before changing it — How to measure a cash conversion cycle properly, why the aggregate number usually hides the problem, and which of the three levers is worth pulling in which situation.