Digital Transformation Consulting
in Fintech

The short answer

Digital transformation is an operating-model problem that arrives disguised as a technology purchase, which is why the software usually goes in and the numbers usually do not move. Fintech companies carry a specific bind here — lending fixed the P&L and converts revenue worth a 7x multiple into revenue worth a 2x multiple. Until that is priced, blended take rate will keep moving for reasons nobody can attribute, and the debate about technology spend as a share of revenue will stay a matter of opinion.

The reason these programmes disappoint so consistently is a sequencing error, not a technology error. The platforms mostly work. What fails is that a system encodes a process, and the process being encoded is usually the current one — the one that grew by accretion, with the exceptions and the workarounds and the three people who know why step six exists. Digitising that faithfully produces an expensive version of the same thing, now harder to change.

The second failure is that the business case is written in technology units and the benefit is in operating units. Licences, integration, migration and training are precise and land in year one. The benefit — fewer manual touches, shorter cycle time, less rework — is imprecise and lands in years two and three, if the process was actually redesigned. When it is not, the cost is real and the benefit is a slide.

There is a genuine strategic question underneath, and it is worth separating from the implementation. It is whether technology changes what your business is able to sell, or only what it costs to run. Those have different answers and different budgets. A distributor that can now offer real-time availability to customers has a commercial change. A distributor that has automated its own picking has a cost change. Both are worth doing; conflating them produces a business case that cannot be tested.

Digital & Technology Strategy (catalog id t8) works the question in that order — what the process actually costs today, which part of the cost is decision-making rather than tooling, and whether the case is commercial or operational — before any vendor selection. Where the answer is a straightforward implementation with a clear payback, it says so, and an implementation partner is the right next call.

How to tell this is actually your problem

These three together are the signature. One on its own usually points somewhere else.

✓ A platform has been shortlisted and the target process has not been drawn
✓ The business case is built from licence savings rather than from cycle time or headcount
✓ Previous systems went live successfully and the operating numbers did not change

The move that usually makes it worse. Selecting the system before redesigning the process, which converts an operating-model question into a customisation budget.

Who this is for — and who it is not

It is for you if you run or finance a fintech and a platform has been shortlisted and the target process has not been drawn. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.

It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.

What this looks like when the analysis is actually run

Below is an excerpt from a real run of this analysis on a fintech. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.

The subject is Verrano Pay, a sample company profile used for testing rather than a customer — $84M net revenue, 28,000 merchants, $9.4B of payment volume.

This is one move out of a full analysis. Read a complete report — every page, no email required.

What the engine does with this question

This question routes to Digital & Technology Strategy, one of 29 engagements the platform runs. For fintech companies it works through blended take rate, charge-off rate, contribution margin and CAC by channel, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.

You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.

Questions people ask about this

Do we need a consultancy or a systems integrator?

Different jobs. A consultancy is for deciding what should change and what the case is; an integrator is for making a chosen platform work. Buying an integrator to answer a strategy question produces a very good implementation of an unexamined process. Buying a consultancy to implement produces a slower, more expensive integrator.

What does digital transformation consulting cost?

The advisory piece is commonly £80k–£300k for eight to sixteen weeks in the mid-market. The implementation that follows is usually five to twenty times that, which is why the advisory phase deserves more scrutiny than its share of the budget suggests — it is the phase that sizes everything after it.

How do we know whether the problem is the technology or the process?

Take one transaction and count the manual touches and the waiting time between them. If most of the elapsed time is people waiting for a decision or an approval, it is a process and governance problem, and a new system will preserve it. If most of it is rekeying, reconciliation or lookup, it is genuinely a tooling problem and technology will move the number.

Is this different in fintech than in other industries?

Materially, yes. Lending fixed the P&L and converts revenue worth a 7x multiple into revenue worth a 2x multiple — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are blended take rate, charge-off rate, contribution margin, and an answer built on industry-general benchmarks will usually point at the wrong one first.

What data do I need before this analysis is worth running for a fintech?

Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on blended take rate and charge-off rate. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.

When is Percision the wrong tool?

Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Does Percision replace a lawyer, tax advisor, auditor, or AI implementation team?

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.