Accountancy & Auditing
AI for accountants.
Practical AI for accountants: less manual keying, cleaner month-ends, faster onboarding, and a defensible trail on every automated step. Built for UK small and mid-size practices.
The opportunity
We understand your sector.
Cut the manual keying out of your practice. We map where your team loses hours - bank reconciliations, month-end close, client onboarding, chasing records - and build automation that clears the repetitive work while your accountants keep judgement and sign-off.
We build for scrutiny as much as speed. Every automated step is logged and explainable, so the work stands up to an ICAS or ICAEW file review and to your own internal quality control.
The month-end shift
Where the first week of the month goes.
The close by hand, against the close with the mechanical work automated. The judgement stays with your accountants. The keying does not.
In practice
Month-end and the close
For most small practices the close eats the first week of the month, and the pattern is the same everywhere: pull statements, match transactions, chase the ones that will not match, post the journals, then do it again for the next client. Very little of that needs a qualified accountant. It needs to be done accurately and it needs a person to check it, and those are two different jobs.
The automation we build takes the first job. Transactions get pulled, categorised and matched overnight, and the exceptions land in a review queue with the reasoning attached. Your accountant opens a short list of things that genuinely need judgement instead of a spreadsheet of things that need retyping. The close shrinks from a week of grind to a review sitting, and the file shows exactly what the system did and why.
In practice
Client bookkeeping and chasing records
The quiet cost in client bookkeeping is the chasing: the missing invoices, the receipt someone photographed at an angle, the client who sends a shoebox in January. Staff time goes on polite reminder emails and re-asking for the same document three times.
That whole loop automates well. The system knows what is missing for each client, sends the chase, reads what comes back, files it against the right record and only escalates to a human when something does not fit. Your team stops being a reminder service. Clients get a faster, more consistent experience, and the January pile-up gets flattened across the year.
In practice
AML checks and onboarding admin
Onboarding a new client is a compliance exercise before it is a relationship: identity checks, risk assessment paperwork, engagement letters, and a file that proves you did all of it in the right order. Done by hand it is slow enough that new work sits in a drawer for weeks, which is a bad first impression and a real cost.
We automate the assembly, not the responsibility. Documents get requested, collected and checked against what the file needs, the engagement letter goes out populated and tracked, and the MLRO signs off on a complete pack instead of building one. The judgement calls stay with you. The admin around them stops taking days. We have done this kind of controls-first build before, including work for FCA-registered financial-services clients, so the compliance bar is one we already build to.
In practice
Making Tax Digital, at quarterly volume
MTD turns one filing sitting per client into four or five, and the heavy cost sits before the submission: getting records in, categorised, reconciled and queryable on a schedule the client did not choose and will not keep to. Multiply that by a full client list and quarterly filing becomes a capacity problem, not a software problem.
Automating the capture-and-clean step is what makes the volume survivable. Records flow in continuously rather than in a quarterly panic, the categorisation is done and logged by the time a deadline approaches, and each submission becomes a review task. Practices that get this layer right can take MTD as a reason to grow the client list rather than a reason to cap it. If you also want your practice data in one place you can query - fees, WIP, recovery by client - that is the same plumbing, and we build that too.
How we help
Three ways in for Accountancy & Auditing.
- 01
AI Consulting
We assess your practice workflow - from bookkeeping through to audit fieldwork - and produce a costed roadmap for where AI genuinely pays back, and where the risk is not worth it.
- 02
AI Automation
We automate the repetitive engine of the firm: transaction categorisation, reconciliation matching, document capture, and client record chasing - with a human reviewing before anything is filed.
- 03
Digital Transformation
We modernise the whole client-to-ledger flow, joining your practice-management, bookkeeping and comms tools into one system your team trusts.
Where we work
Accountancy & Auditing across Scotland.
Questions
What accountancy practices ask first.
How do you keep client financial data confidential?
We work on a least-privilege, read-only basis wherever possible, keep client data inside systems you control, and never use your clients' financial records to train third-party models. Access is scoped per engagement and revocable at any time.
Will automated work stand up to a file review or audit inspection?
Yes. Every automated action is logged with its inputs and outputs, so you have a defensible trail for ICAS or ICAEW quality reviews. The AI proposes; a qualified accountant reviews and signs off before anything reaches a client or HMRC.
Can this help with Making Tax Digital and quarterly filing volumes?
It can. The heaviest MTD cost is data wrangling - pulling records in, categorising, reconciling. We automate that capture-and-clean step so quarterly submissions become a review task rather than a re-keying marathon.
Does this replace bookkeepers or accountants?
No. It removes the mechanical parts of their day - matching, chasing, retyping - so the same team handles more clients and spends its time on advisory work, which is where the fee value sits.
Will AI replace accountants?
Look at what Xero and Sage did. They automated ledger work that used to be done by hand, and the result was practices taking on far more clients per head, not fewer accountants. AI is the same shift, one layer up: it takes the data collection, the matching and the grunt analysis, and leaves the judgement, the relationship and the advice. The practices at risk are the ones that keep pricing manual grunt work against competitors who no longer have any.
Is ChatGPT safe to use for client work?
Not the free, public version, no - pasting client financial data into a public tool is a confidentiality problem before it is anything else. The safe pattern is business-grade AI running inside systems you control, with client data never used to train third-party models and every output reviewed by a qualified person before it goes anywhere. That is how we set it up, and part of the engagement is writing the usage policy so your team knows exactly where the line is.
What does AI cost for a small practice?
Less than most practice software you already pay for, once it is scoped honestly. We start with a paid assessment that produces a costed roadmap: where automation pays back in your practice, in what order, and what each step costs to build and run. You keep the roadmap either way, and the first build is always something small enough to measure - one workflow, one number that moved.
Next step
See what AI could do for accountancy practices like yours.
Book a free, no-obligation call. We map your workflows against your sector's realities and show you where AI genuinely pays back. You keep the plan even if you walk.