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Investment case11 min readUpdated 2026-09-18

Build vs Buy AI in Financial Services

The comparison is not licence fee versus engineering cost. It is total cost per outcome, under your control requirements, over a realistic horizon.

Written for CTO, Head of AI, procurement sponsor

What you should take away

  • Per-resolution vendor pricing can be excellent at low volume and punitive at scale, model the crossover explicitly.
  • Buying does not remove model risk, evidence or complaints obligations; it relocates some of the work and adds oversight of a third party.
  • The expensive part of building is rarely the agent; it is integration, evaluation and the permanent operating team.
  • Most institutions end up hybrid: bought platform, built orchestration and controls.

Build-versus-buy papers in financial services usually compare the wrong pair of numbers: an annual licence fee against a one-off delivery estimate. Both are incomplete. The licence excludes your integration, evaluation and oversight; the build estimate excludes the operating team that will still be there in year three.

The honest comparison table

Cost lineBuyBuild
Model inferenceUsually inside vendor pricing, opaqueDirect, visible, negotiable
Retrieval and dataPartly included; your data preparation remains yoursYours entirely
Integration to core systemsYoursYours
Evaluation and quality assuranceYours to own, whatever the vendor providesYours
Model risk documentationYours, plus third-party oversightYours
Ongoing engineering and operationsLower, not zeroPermanent team
Exit and portabilityContractual riskYour code, your risk

Both columns carry your obligations. Outsourcing an activity does not outsource accountability for it.

Where the crossover actually sits

Per-outcome vendor pricing is attractive until volume scales, at which point a fixed-cost build amortises better. The crossover is a function of volume, the vendor's unit price, and how much of the build's cost is genuinely fixed. Model it rather than debating it.

Illustrative annual cost at a £0.90 per-resolution vendor price

1m resolutions, vendor£0.90m
1m resolutions, build£1.60m
5m resolutions, vendor£4.50m
5m resolutions, build£2.60m

Illustrative arithmetic on a fixed-plus-variable build shape. Use your own vendor quote and your own fixed-cost estimate; the point is that the answer is volume-dependent.

Interactive model

Your in-house cost per outcome, at your volume

Set volume and your in-house cost lines to produce the number you should hold a vendor quote against.

Total cost per successful outcome

£1.20

AI-attempted workflow cost

£6.03m

Successful outcomes per year

5,040,000

Modelled annual operating difference

£16.37m

Client conversations per month1,000,000
Illustrative assumption
Platform, evaluation & monitoring£150k/year
Illustrative assumption
Build, amortised annually£500k/year
Illustrative assumption
Autonomous resolution rate75%
Illustrative assumption

Where the cost sits

  • Human escalation£4.48m74%
    Calculated
  • Implementation, annualised£500k8%
    Calculated
  • Model inference£420k7%
    Calculated
  • Retrieval & data£180k3%
    Calculated
  • Failures & retries£180k3%
    Calculated
  • Platform, evaluation & monitoring£150k2%
    Calculated
  • Tools & APIs£120k2%
    Calculated

Largest modelled component: Human escalation (£4.48m). Outcome measured per successful autonomous resolution.

Illustrative assumptions. Compare the resulting cost per outcome with a vendor's per-resolution price on the same definition of resolution, vendors rarely use yours.

Non-financial factors that legitimately override the arithmetic

  • Time to evidence: a bought platform may let you measure real resolution rates months earlier, which is worth real money in decision quality.
  • Concentration and exit risk: third-party dependency for a client-facing regulated process attracts supervisory attention.
  • Control over evaluation: if you cannot run your own eval set against the vendor's system, you cannot govern it.
  • Talent reality: a build you cannot staff for three years is not cheaper; it is a different kind of expensive.

Apply this to your own workload

The figures above are illustrative assumptions. A BillingEngine assessment replaces them with your company's numbers and shows which assumptions decide the answer.