ProblemsShould We Hire or Outsource? › Fintech

Should We Hire or Outsource?
in Fintech

The test is not cost. It is whether the capability is close enough to what you sell that owning it changes your position. This page works through it for fintech companies specifically — including an unedited excerpt from a real analysis of a fintech.

The short answer

The test is not cost. It is whether the capability is close enough to what you sell that owning it changes your position. The version of this question that applies to fintech companies is not the generic one. Lending fixed the P&L and converts revenue worth a 7x multiple into revenue worth a 2x multiple — so an answer that ignores blended take rate will be confidently wrong. The analysis has to start from charge-off rate and contribution margin rather than from revenue.

Hire-versus-outsource is usually argued on cost per hour, which is the least decisive input. An outsourced function is generally cheaper at low utilisation and more expensive at high utilisation, so the honest comparison depends on volume you have to forecast anyway.

The decisive question is proximity to what you actually sell. Capabilities that touch the customer's experience of the thing you charge for, or that accumulate knowledge you can compound, are worth owning even at a premium. Everything else is a purchasing decision.

The third factor is variance. Owning a function buys control over quality and timing; outsourcing buys flexibility. Which matters more depends on whether your customers notice variance.

How to tell this is actually your problem

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

✓ The debate is being conducted entirely on hourly rates
✓ Utilisation of the proposed hire is assumed rather than estimated
✓ The function touches the customer directly

The move that usually makes it worse. Outsourcing something that accumulates knowledge you would have compounded, which is cheaper every year and weaker every year.

Who this is for — and who it is not

It is for you if you run or finance a fintech and the debate is being conducted entirely on hourly rates. 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.

Excerpt from a real Percision run · Pricing Strategy · sample company profile

The move. Convert 18-24 month platform access into 30-36 month structural lock-in via exclusivity contracts and deeper API integration.

The leak it closes. Prevents 180-day exit clause activation that could remove 61% of new merchant flow overnight.

The assumption it rests on. Platform partners will accept 3-year exclusivity in exchange for deeper API features and revenue-share stability — the engine put the probability at 0.75.

What the run committed to
Investment required$1.8-2.4M over 18 months
Expected return18-22× on $2.1M midpoint investment
Revenue, year 1$2-3M incremental from deeper integration (12-month lag)
Revenue, year 2$12-15M incremental from exclusivity-protected lending origination
Revenue, year 3$28-30M incremental from two new platform integrations
Exit criteriaTerminate if fewer than two platforms sign exclusivity by Month 18 OR if renegotiation windows do not materialize before December 31, 2026. Redirect resources to direct-acquisition diversification (Node 3) and lending covenant remediation.

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 Organizational Alignment Model, 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

When does hiring become cheaper than outsourcing?

At the utilisation where fully loaded internal cost falls below the external rate for the same output. Calculate that break-even point explicitly — it is usually lower than people assume and the debate ends there.

What should never be outsourced?

Anything where the accumulated knowledge is part of what you sell. Losing that is not a cost line, it is a slow reduction in what you are able to charge for.

How do I compare quality?

By variance rather than by average. Outsourced work is often comparable on average and wider in spread, which matters exactly as much as your customers notice it.

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.

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