ROI CALCULATOR

See the value First Mile Labs
delivers for your institution

Adjust the inputs to match your current KYB/KYC operation. Your estimated annual return updates in real time.

90+ days
Industry-average corporate onboarding time — compressed to days, not months.
~70%
Reduction in analyst review time per case with AI classification and risk scoring.
80%+
Straight-through processing for qualifying low-risk applications.

Your current operation

200

Total new corporate onboarding cases your team processes each month.

102.0k
6h

Total analyst time from document collection through to decision.

1h48h
£60

Fully-loaded cost including salary, benefits, and overhead.

£15£150
21d

From application submission to account fully active and revenue-generating.

3d60d
20%

Percentage of applicants who abandon before completing onboarding.

1%100%
£8k

Net revenue from a typical newly onboarded corporate customer over 12 months.

£1k£100k

Estimates based on typical First Mile Labs outcomes: ~70% reduction in analyst time per case, ~75% faster time-to-activation, ~45% reduction in drop-off. Your results will vary.

ESTIMATED ANNUAL VALUE

£3.0m

per year across cost savings + revenue impact

BREAKDOWN

Analyst cost savings
840 hours saved/month · 360 hrs remaining
£605k
Faster revenue activation
Time-to-activation: 21d → ~16d
£663k
Recovered drop-off revenue
~18 customers/month retained
£1.7m
Total annual value
£3.0m
HOURS FREED/MONTH
840
DAYS SAVED PER CASE
~5d
CUSTOMERS RETAINED/YR
216
MONTHLY VALUE
£250k
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Methodology

How we calculate your savings

Your projected annual value combines three effects we see consistently in First Mile Labs deployments. We assume a 70% reduction in analyst hours per case from AI document classification, public-registry verification, and the bespoke risk model auto-approving qualifying low-risk applications. We assume a 75% reduction in time-to-activation, which pulls forward 12 months of customer revenue measured against your annual revenue per onboarded customer. And we assume a 45% reduction in application drop-off, because the customer-facing form is shorter and the back-and-forth on missing documents is largely eliminated. Multiplied across your monthly case volume and a 12-month horizon, those three effects produce the total annual value shown above. Conservative assumptions throughout — your real-world results will vary depending on case complexity, current operating maturity, and how aggressively you tune the risk policy.

Where the value comes from

What drives the biggest savings

Analyst hours, freed up

AI document classification, automatic Companies House and beneficial-ownership verification, and a configurable risk model take the high-volume, low-judgement work off your analysts. Most institutions free up the equivalent of two-thirds of their current onboarding capacity — without growing headcount.

Revenue, pulled forward

Cases that used to spend weeks in document chasing and manual review reach a decision in days. Approved customers start generating revenue sooner, and that earlier activation compounds across every cohort for the rest of the year.

Drop-off, rescued

A shorter, lighter customer-facing application and fewer rounds of "please re-upload this in colour" mean materially more applicants reach the finish line. Every recovered customer is a full year of revenue that would otherwise have walked away.

Ready to see the real numbers?

The calculator above gives you a conservative, evidence-based estimate. For a tailored ROI projection against your own portfolio — your case mix, your jurisdictions, your existing vendor stack — book a short demo with the team. We'll walk you through the platform and produce a numbers-backed business case you can take to your board.

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