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AI Agents for Accounting Firms: Where the Partner Still Has to Sign

An agent preparing the work and a partner carrying the liability for it

Agents are good at preparation and chasing, which is where a practice actually loses its hours. They cannot carry liability, and in a profession where someone signs, that boundary is not a preference. It is the business model.

The capability question in accounting is less interesting than the accountability one, and most coverage gets that the wrong way round.

Where the hours actually go

Not the technical work. Practices tend to assume the saving is in preparing the return or the accounts, and some of it is. The larger, less visible loss is in two places.

Waiting. Records that have not arrived. The query sent three weeks ago. Jobs sitting part-complete because one document is missing, occupying mental space and workflow slots.

Chasing. Unbilled, universally disliked, and almost entirely mechanical. A polite reminder on a schedule, escalating appropriately, with a record of what was asked and when.

The second is close to a perfect agent task: repetitive, low judgement, done badly today because nobody enjoys it, and improved simply by being done consistently.

The four that work

TaskWhy it fits
Chasing records and queriesMechanical, unbilled, done inconsistently today
Assembling a workpaper from source documentsVerifiable against the source
Drafting the query listA person reviews before it reaches the client
Preparing a report or meeting packAssembly, not opinion

All four stop short of the same line: a person reviews before anything reaches a client, and a person signs.

The line that cannot move

Someone carries the liability. A model cannot hold a licence, cannot be insured, and cannot be the person a regulator asks.

That is not a transitional limitation waiting on better technology. It is the structure of a profession where the signature is the product. Any vendor describing an agent as replacing a reviewer is describing something a practice cannot buy, whatever it does.

What genuinely changes is the ratio: less time assembling, the same time reviewing, and some hours released. What a practice does with those hours is the actual decision, and most say advisory and then do not bill it, which is covered in the advisory you are already giving away.

The policy comes before the tooling

Clients are starting to ask what goes into a model and where it is processed, in engagement conversations rather than in audits. A firm with a written answer looks well run. A firm improvising does not.

The realistic failure is not a considered decision to use an unapproved tool. It is a staff member pasting a trial balance into a consumer product at nine at night because it was faster. A policy exists to make that a decision rather than a reflex, and what belongs in one is in what goes in an AI policy for an accounting firm.

The part worth more than the hours

Released capacity only becomes revenue if the advisory work gets scoped, delivered and visible. Most practices find the first two easier than the third: the client cannot see what happened between meetings, so renewal becomes a conversation about price.

GPS for Professional Services is built for that part, with a workspace per client holding their plan, their owners and their progress, so a client can see movement without waiting for a report, and the firm can see every engagement from one screen.


Related reading: AI agents for small businesses, and what AI policy belongs in a practice.

See GPS for accounting firms, and who inherits the client book.

Common questions

What can AI agents do in an accounting practice?
The two things practices lose hours to: preparation and chasing. Assembling a workpaper from source documents, drafting a query list, chasing a client for records, preparing a report pack. All of it is repetitive, verifiable and reviewed by a person before it goes anywhere.
Can AI agents replace accountants?
No, for a structural reason rather than a capability one. Somebody signs, and a model cannot hold a licence or carry liability. What changes is where the hours go: less time assembling, the same time reviewing, and more time available for the advisory work most practices say they want and never bill.
What should be in an AI policy for an accounting firm?
Which tools are approved, what client data may go into them, where it is hosted, whether anything trains a model, who reviews output before it reaches a client, and what gets disclosed. Clients are starting to ask in engagement conversations, and a firm improvising an answer does not look well run.
Is it safe to put client data into AI tools?
It depends entirely on the terms of the specific tool and where it processes data, which is why the policy question comes before the tooling question. The failure is rarely a deliberate decision. It is a staff member pasting a trial balance into a consumer tool because it was quicker.
Where do AI agents actually save a practice money?
Chasing clients for information, which is unbilled, universally hated and almost entirely mechanical. Most practices lose more hours to waiting and reminding than to the technical work itself, and that is the part an agent handles without touching judgement.
Ash Brown

Ash Brown

Founder & CEO of Empiraa

Published 5 November 2026

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