Accountancy · Accountancy operating model

MTD Is an Operating Model Problem for Accountancy Consolidators — Not Just a Tax Deadline

MTD increases the frequency of the work. If the operating model underneath is fragmented, it also increases the frequency of the friction.

Making Tax Digital for Income Tax is easy to frame as a tax deadline or software-readiness programme.

For an accountancy consolidator, I think that framing is too narrow.

MTD is now live for qualifying income above £50,000, with the threshold reducing to £30,000 from April 2027 and £20,000 from April 2028. The practical change is not simply that records become digital. For affected clients, quarterly updates make the flow of information through the practice more frequent.

That matters because frequency multiplies whatever is already present in the workflow: clean processing, but also chasing, incomplete evidence, re-keying, repair, review and local process variation.

For PE-backed and acquisitive accountancy groups, the risk is straightforward:

More digital reporting does not automatically mean a more scalable operating model.

What’s normal

The conventional response is sensible on the surface:

  • select compatible software;
  • segment and communicate with affected clients;
  • train teams;
  • create new filing calendars and controls;
  • add automation where workload becomes painful.

Those things are necessary.

But they mostly answer: Can we comply with MTD?

They do not necessarily answer: What will it cost us to operate at the new frequency?

That distinction becomes more important in a consolidator. Acquired practices often arrive with different intake routes, systems, working papers, review habits, client behaviours and local workarounds. A quarterly rhythm can expose those differences four times as often.

Why it fails

The expensive part of tax operations is rarely the final submission itself.

It is the work required to get the case into a state where a qualified person can confidently review or submit it.

A client sends partial evidence. Somebody chases it. A document arrives in an email. Somebody extracts it. A field does not match. Somebody checks it. Data moves between systems. Somebody re-keys or repairs it. The case reaches review incomplete and comes back again.

None of those activities looks catastrophic in isolation.

At scale, they become the operating model.

This is where an MTD programme can accidentally digitise the deadline while leaving the economics untouched.

And if the easy cases are automated first, the human workload can become more concentrated in the difficult cases — meaning automation rates improve while the remaining cost per human-handled case gets worse.

What I do differently

I start one level below the deadline and one level above the technology.

The question is not initially “what can we automate?”

It is:

Where does a client record become operational work — and why?

I want enough evidence to understand the flow from evidence received through completeness, extraction, repair and qualified review, and to see where cost and capacity are actually accumulating.

That creates a much cleaner intervention decision.

Some causes should be prevented upstream. Some work should be standardised across acquired practices. Some hand-offs should disappear. Some data should be integrated. Some repetitive preparation is a good automation or AI candidate.

The point is not to avoid technology.

It is to stop asking technology to compensate for an operating model we have not understood.

Diagnostic

What this looks like in practice

Before treating MTD as a capacity or automation problem, I would want the leadership team to be able to answer questions such as:

  • What proportion of client evidence is complete enough to progress first time?
  • Where are staff repeatedly checking, re-keying or repairing information?
  • How much qualified-review time is judgement — versus avoidable preparation and correction?
  • Which workflow variants exist because they are genuinely necessary, and which simply came with acquired practices?
  • What is the cost-to-serve of a completed case or quarterly update once all touches are included?
  • If affected volume increased materially tomorrow, which part of the workflow would become the constraint first?

You do not need a six-month transformation programme to find out whether those questions expose a meaningful value pool. You need enough operational evidence to decide whether intervention is justified.

Evidence from the work

In a national accountancy group, I worked on a personal-tax workflow where client information arrived through forms and emails and ultimately had to be usable inside the core CCH accounting platform.

The visible opportunity looked like document automation.

The actual work required more than that: detailed data mapping, extraction logic, workflow tooling, Dataverse, API integration through Boomi, and robust end-to-end testing from P60s, P11Ds, dividend statements and emails through to the core platform.

The selected workflow combination reduced a manual handling stage from approximately £3 to £0.42.

That was not an MTD project, and I would not present it as one.

But it demonstrates the relevant operating-model lesson: the benefit did not come from dropping an AI tool on top of the process. It came from understanding what information had to move, where it failed, how it should flow and which combination of process and technology could make that flow cheaper and more reliable.

MTD increases the urgency of getting that right.

The uncomfortable questions

If you run or own an acquisitive accountancy business, I would ask:

If MTD volume increases, does our workload rise almost linearly with it?

Are our most qualified people reviewing judgement — or repairing preparation?

Have acquisitions created a group brand but left multiple operating models underneath?

Can we quantify the cost of incomplete evidence and repeat handling, or do we only see utilisation and deadlines?

Are we automating the source of the work, or only making the repair faster?

Those answers tell you much more about MTD readiness than a software checklist alone.

The point

For accountancy consolidators, MTD is a compliance event.

But it is also a stress test of the operating model.

The firms that turn it into operating leverage will not simply digitise more submissions. They will understand which parts of the workflow create avoidable work, quantify that value pool and choose the smallest intervention that removes it.

HMRC’s current staged MTD for Income Tax thresholds are >£50,000 from 6 April 2026, >£30,000 from 6 April 2027 and >£20,000 from 6 April 2028.

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