Problems › Digital Transformation Consulting › Banks & Financial Services
Digital transformation in banks is an operating-model problem that arrives disguised as a core-system or channel purchase, which is why the platforms go live and the efficiency ratio, cost of funds and origination per banker usually do not move. For banks and financial services firms, this shows up in a particular place. The numbers that carry the answer are efficiency ratio and cost of funds, and the complication specific to this industry is that the branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement. The general version of this problem and the one you are actually in have different first moves.
Digital transformation in banks is an operating-model problem that arrives disguised as a core-system or channel purchase, which is why the platforms go live and the efficiency ratio, cost of funds and origination per banker usually do not move. For banks and financial services firms, this shows up in a particular place. The numbers that carry the answer are efficiency ratio and cost of funds, and the complication specific to this industry is that the branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement. The general version of this problem and the one you are actually in have different first moves.
The reason these programmes disappoint is a sequencing error, not a technology error. The systems mostly work. What fails is that the platform encodes the existing process, and the process being encoded is the current one — the one built around branch exceptions, manual overrides and the six people close to retirement who hold the relationship knowledge. Digitising that faithfully produces an expensive version of the same deposit and lending workflow, now harder to change and still carrying the same cost of funds and origination drag.
The second failure is that the business case is written in licence, integration and training units while the benefit is measured in operating units. The spend lands in year one and is visible to the CFO. The benefit — lower efficiency ratio, reduced deposit beta pressure, higher origination per banker — is imprecise and appears only in years two and three if the underlying branch and back-office processes were actually redesigned. When they are not, the cost is booked and the operating metrics remain flat.
There is a genuine strategic question underneath, and it is worth separating from the implementation. It is whether the technology changes what the bank can originate and hold on the commercial lending book or only what it costs to run the existing $3.1B book and $410M deposit base. Those have different answers and different budgets. A bank that can now offer real-time availability and pricing to commercial borrowers has a commercial change. A bank that has only automated its own exception handling has a cost change. Both are worth doing; conflating them produces a case the chief lending officer cannot test against net interest margin or deposit concentration.
Digital & Technology Strategy (catalog id t8) works the question in that order — what the current process actually costs in efficiency ratio and cost of funds, which part of the cost sits in 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.
These three together are the signature. One on its own usually points somewhere else.
✓ Efficiency ratio and origination per banker have shown no sustained movement after the last core or origination system went live.
✓ The business case presented to the CFO rests on licence savings or headcount assumptions rather than modelled changes to cost of funds or deposit concentration.
✓ Relationship managers continue to spend the same proportion of time on manual workarounds even though the new platform is reported as fully adopted.
The move that usually makes it worse. Selecting the core or origination system before mapping the actual branch and exception processes, which converts an operating-model question into a customisation and integration budget.
It is for you if you run or finance a bank 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.
Below is an excerpt from a real run of this analysis on a bank. 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 Harborline Financial Group, a sample company profile used for testing rather than a customer — $3.1B commercial lending book, $410M of deposits.
Excerpt from a real Percision run · Competitive Positioning · sample company profile
The move. Codify retiring relationship knowledge and modernize treasury services to extend the 36-48 month deposit franchise durability by 12-18 months while capturing $15M+ annual fee income.
The leak it closes. 18% profit-pool leakage to digital treasury platforms reduced to 10-12% through competitive UX; 61% digital account opening abandonment reduced to 25-30% through streamlined onboarding
The assumption it rests on. Digital treasury substitution stays ≤3% per year for next 36 months — the engine put the probability at 0.55.
| Investment required | $20-25M over three years — $2-3M codification project + $18-22M treasury platform build |
| Expected return | 208-260% over three years — $52M expected upside / $20-25M investment |
| Revenue, year 1 | $3-5M incremental fee income from treasury SaaS pilot with 50 commercial accounts |
| Revenue, year 2 | $8-12M incremental fee income from 200 commercial accounts plus commercial card float |
| Revenue, year 3 | $15-18M incremental fee income from 400 commercial accounts at 23% fee-to-revenue ratio |
| Exit criteria | Abandon if treasury SaaS pilot fails to retain 80% of 50 pilot accounts by Month 18 OR if 71% loan-to-deposit overlap falls below 60% by Month 24 |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Digital & Technology Strategy, one of 29 engagements the platform runs. For banks and financial services firms it works through efficiency ratio, cost of funds, origination per banker and deposit concentration, 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.
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.
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.
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.
Materially, yes. The branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are efficiency ratio, cost of funds, origination per banker, and an answer built on industry-general benchmarks will usually point at the wrong one first.
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 efficiency ratio and cost of funds. 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.
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.
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