The Self-Improving Firm

The Self-Improving Firm is a nine-part series for mid-tier and large UK accounting firms — a companion arc to Making Accounting AI. Where that series made the case for the profession, this one takes the next step: it stops treating AI as a productivity tool inside the existing firm and asks what the firm itself should look like if you built it around AI from the floor up.

Strategic positioning

Most companies today are organised like Roman legions, with humans acting as conduits for information moving up and down a hierarchy. Bolt AI onto that structure and you get a 20% productivity bump on a fundamentally outdated operating model. The more radical idea is that AI should not be a tool inside the company — it should be the operating system the company runs on, with closed-loop systems replacing open-loop decision-making and a small number of clearly defined human roles replacing the management pyramid.

This is deliberately uncomfortable territory for a mid-tier firm. Partner structures, manager-senior-junior pyramids, billable hours, training pathways, succession — every load-bearing element of the modern firm rests on the legion model. That is exactly what makes the question worth asking: which parts of the legion are load-bearing, and which parts are simply habit? This is not a demand that firms blow themselves up. It is a serious question, asked with the profession rather than at it.

The core argument

A mid-tier UK firm in 2026 has three structural choices. It can run AI as a productivity tool inside the legion — a 20% improvement on the existing model. It can pretend the question doesn’t apply to it. Or it can become genuinely AI-native: closed-loop, queryable, organised around directly responsible individuals and individual contributors rather than managers, with partners deployed where human judgement is genuinely irreducible. This series is about what that third option actually looks like — honestly, for a real firm with real clients, real regulators and real partners who did not sign up for a startup.

The nine-part arc

Part 1 — The Roman Legion Problem. What if the org chart is the bottleneck? The firm is structured to move information up and decisions down through layers of humans. Would that be the structure anyone designed if they were starting today?

Part 2 — Burn Tokens, Not Headcount. What if your next hire is a context window? For the first time, adding capacity by hiring and adding capacity by compute are directly comparable line items on a partner P&L.

Part 3 — The Sensor Layer. What if your firm could see every client signal in real time? What becomes possible when every interaction, email, deadline and late payment is captured and made legible to a system that can reason across it.

Part 4 — The Decision Layer. What if every policy in your firm were written down? Most firms can’t answer, in writing, what a manager can sign off without a partner. That’s not an AI-readiness failure — it’s an operational-clarity failure AI happens to expose.

Part 5 — The Working Papers Factory. What if seniors stopped preparing files and started specifying them? The working-papers model is already a specs-and-tests system; the question is what happens when preparation becomes generative.

Part 6 — Closed-Loop, Not Open-Loop. What if your firm got smarter every night? Accountants understand closed-loop control instinctively — yet most firms run their own operations open-loop.

Part 7 — The End of Middle Management. What if coordination weren’t a full-time job? Borrowing three archetypes — individual contributors, directly responsible individuals, and the AI-founder type — the question stops being “are your managers redundant” and becomes “which of your senior people are coordinators, and which are DRIs”.

Part 8 — Where Humans Still Belong. What if the partner’s job became more human, not less? The difficult conversation, the ethical judgement, the HMRC negotiation, the succession discussion — the irreducible core, and the highest-value work the firm does.

Part 9 — Building the Firm in this New Shape. What if you were starting a firm today? Not a transformation roadmap, but a thought experiment — the implicit benchmark every existing firm should measure itself against.

Daniel Lawrence is the Founder and CEO of Bots For That and creator of the automation operating system. The Self-Improving Firm explores what AI-native operations look like for mid-tier and large UK accounting firms.