helpmewithit.com
Services Why Us How It Works About Case Studies Get Started
Case Studies Use Case
AI Automation Tax & Accounting Making Tax Digital

AI-Assisted Transaction Processing for a Tax Accounting Practice

How we proposed cutting 60–80% of manual processing time for an accounting practice overwhelmed by HMRC's Making Tax Digital requirements.

2026
Tax Accounting Practice
Proposal stage
60–80%
Less manual processing time
4–5×
Annual processing cycles automated
£0
New headcount required

The challenge

HMRC's Making Tax Digital initiative has fundamentally changed how accountants handle client records — and for practices with a high volume of lower-fee clients, it's created a profitability crisis. Every client requires bank statement conversion, manual transaction categorisation, and frequent follow-up, repeated four to five times a year.

For one tax accounting practice, this meant hours of repetitive, low-value work that was eating into margins and limiting how many clients the team could realistically handle. Buying into an expensive SaaS platform wasn't viable for their pricing model. They needed something leaner and purpose-built.


What we proposed

Rather than recommending a broad automation platform, we scoped a focused internal tool designed specifically for their workflow. The tool would handle the entire statement-to-trial-balance pipeline without requiring any change to how the practice bills or communicates with clients.

This is not a replacement for Xero or any other practice management platform. It's a complementary tool that slots into the existing workflow and handles the time-consuming part — so the accountant spends minutes reviewing exceptions, not hours processing from scratch.


Delivery approach

We structured the engagement in four phases to reduce risk and validate the approach before committing to full build.

Phase 1

Discovery

Workflow mapping, data sample review, and success criteria definition.

Phase 2

Prototype

Statement ingestion, transaction extraction, and initial categorisation engine.

Phase 3

Pilot

Real-world testing with live client data, accuracy tuning, and workflow refinement.

Phase 4

Rollout

Production deployment, user onboarding, and ongoing optimisation.


Expected outcomes


Strategic value

Beyond the immediate time savings, this engagement creates something the practice owns outright: a reusable internal tool that encodes their categorisation logic and improves with use. Unlike a SaaS subscription, it's not a recurring cost that scales with client volume — it's infrastructure.

It also positions the practice ahead of competitors still doing this work manually, and builds a foundation for further AI-assisted workflows as MTD requirements expand.

AI Services

Facing a similar challenge?

Intelligent automation is one of several AI services we deliver. If you have a manual, repetitive workflow that's costing you time and margin, we can help you scope the right solution.

Explore our AI services

Ready to solve your own version of this?

Tell us about your workflow. We'll come back with a plain-English summary of what's possible and what it would cost.

Get in touch More case studies