A partner at a mid-tier firm knows things about their clients that nobody else in the firm knows. They know the MD is selling next year and hasn’t told anyone. They know the FD is interviewing elsewhere. They know which clients pay late on purpose and which by accident. None of it is in a system. It is in the partner’s head — and when the partner retires, most of it leaves. This is the firm’s most important sensor. It is also the most fragile.
What firms actually have today
Most firms believe they have client data. What they actually have is files: a SharePoint folder structure, last year’s accounts as a PDF, a practice-management system that knows about jobs but little else, and Xero or Sage that knows about transactions but not conversations. There are a lot of emails, scattered across every inbox with no shared visibility. There is a WhatsApp group the partner is in and the senior is not. There are meeting notes in a notebook and voice memos on a phone nobody else has heard.
This is not a data infrastructure. It is a collection of artefacts produced by a firm whose information-moving function still runs through people. None of it can be reasoned across by anything other than a human who happens to be familiar with all of it — which means in practice nobody can, not even the partner. This is what is meant by “if it is not recorded, it does not exist to the company brain.” The firm runs on it anyway, because humans are remarkable at extracting signal from incomplete information — but it is operating well below its potential, because the system that could reason across everything has been given almost nothing.
What the sensor layer actually means
The concept is borrowed from robotics: a system that acts in the world must first take in information about it. For a firm, the sensor layer answers one question — what does the firm know about each client, in a form a system can read? A serious sensor layer pulls signals from bank-feed activity, filing deadlines and response status, practice-management events, email correspondence (with consent) parsed for sentiment and urgency, auto-generated meeting notes and call transcripts, document-exchange events, late-payment patterns, and industry signals like VAT-threshold proximity. Each is a small signal on its own. Together they say something the firm could not previously see.
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What you can do with it
You can spot the client heading into trouble before it lands on your desk as an emergency — late payments accelerating, supplier complaints, a VAT return that suggests the business is hitting a wall. You can spot the cross-sell nobody noticed, the client approaching a threshold or a financing decision. You can spot the unhappy client before they leave — slowing responses, a tone shift, a WhatsApp group going quiet. And you can run the firm as a firm: a managing partner who can ask the firm brain a question and get an answer from across every engagement operates with a different level of awareness. The firm becomes legible to itself.
The hard part
The technical work is mostly solvable. The hard part is operational discipline: the sensor layer only works if the firm actually records things — meeting notes in the system, voice memos transcribed, the practice-management system used as a system of record rather than a job tracker. There are serious consent, GDPR and retention questions the technology does not answer for you, which need a partner-level position, written down and reflected in engagement letters. And it changes what people are accountable for: if the system can see a manager hasn’t replied to a client in nine days, that fact now exists. Firms that succeed lean into that clarity rather than away from it.
A closing observation
Every layer of the old pyramid was, among other things, a packet of memory — the junior held the file’s detail, the partner held the client. The sensor layer is what replaces that as the firm’s memory: a continuous, structured, queryable record that survives the departure of any individual and grows more useful the more it accumulates. A firm that builds it will, over time, know more about its clients than any individual partner ever could. That is a strange thing to say about a profession that has run on partner memory for centuries. It is also true.
Part 3 of The Self-Improving Firm. Daniel Lawrence is the CEO and co-founder of Bots For That.
