Onboarding Gap: Why Client Onboarding Still Fails at the Edges
Industry and regulator data points to a consistent onboarding gap. Across financial services, 30% of client journeys are still not cleanly handled by existing tools. They abandon, stall, escalate, require manual review, or create material compliance rework. This note asks what is failing, and why?
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Page 1 — Onboarding Gap: Why Client Onboarding Still Fails at the Edges
MERCURIUM RESEARCH · NOTE 01
Estimating the Onboarding Gap
How much of financial-institution client onboarding is not adequately handled by today's tools, and why the real number is bigger than anyone quotes in a demo.
Abstract
Industry data from Fenergo, McKinsey, Thomson Reuters and primary regulator reports converges on a consistent picture. Across retail and institutional financial services, the share of onboarding journeys that are not cleanly handled by existing automation tools and processes, cases that abandon, stall, escalate, require manual review, or generate material compliance rework, sits in a 25% to 40% band depending on segment.
In this note we walk through the five measurable failure modes that make up that gap, triangulate the numbers across eight independent sources, and arrive at a defensible mid-point estimate of 30% of onboarding volume that is currently handled poorly, partially, or not at all by the tools financial institutions have in place today. This is the actual addressable surface of the onboarding problem, and it is substantially larger than the common marketing narrative that "95% automation" suggests.
1. Why this question matters
The RegTech industry has a stock answer to "how well does onboarding automation work?". Vendors quote auto-approval rates of 90%+, pass rates of 99%, and onboarding times "under 18 minutes". These numbers are real, for the specific cases they were designed to cover. The honest question is what happens to everything outside that envelope: the applications that abandon,the files that get kicked to a compliance officer,the entities whose ownership structure the tool cannot parse,the documents in the 'wrong' language or format,and the cases that quietly accept a client who should have been rejected.
This note is an attempt to put a defensible number on that residual. It matters because it defines the true addressable surface of the onboarding and due-diligence market: the portion where incumbent tools either fail silently,fail loudly,or fail to engage at all.
2. Defining "not handled"
Onboarding is not a single event. It is a pipeline of decisions: classify the actor, collect documents, verify identity, screen against sanctions and PEP lists, resolve beneficial ownership, assess risk, and either approve, escalate, or reject. At each stage, a case can fail in ways that the industry's headline metrics rarely capture.
Page 1 of 7
April 2026
MERCURIUM RESEARCH · NOTE 01
Estimating the Onboarding Gap
How much of financial-institution client onboarding is not adequately handled by today's tools, and why the real number is bigger than anyone quotes in a demo.
Abstract
Industry data from Fenergo, McKinsey, Thomson Reuters and primary regulator reports converges on a consistent picture. Across retail and institutional financial services, the share of onboarding journeys that are not cleanly handled by existing automation tools and processes, cases that abandon, stall, escalate, require manual review, or generate material compliance rework, sits in a 25% to 40% band depending on segment.
In this note we walk through the five measurable failure modes that make up that gap, triangulate the numbers across eight independent sources, and arrive at a defensible mid-point estimate of 30% of onboarding volume that is currently handled poorly, partially, or not at all by the tools financial institutions have in place today. This is the actual addressable surface of the onboarding problem, and it is substantially larger than the common marketing narrative that "95% automation" suggests.
1. Why this question matters
The RegTech industry has a stock answer to "how well does onboarding automation work?". Vendors quote auto-approval rates of 90%+, pass rates of 99%, and onboarding times "under 18 minutes". These numbers are real, for the specific cases they were designed to cover. The honest question is what happens to everything outside that envelope: the applications that abandon,the files that get kicked to a compliance officer,the entities whose ownership structure the tool cannot parse,the documents in the 'wrong' language or format,and the cases that quietly accept a client who should have been rejected.
This note is an attempt to put a defensible number on that residual. It matters because it defines the true addressable surface of the onboarding and due-diligence market: the portion where incumbent tools either fail silently,fail loudly,or fail to engage at all.
2. Defining "not handled"
Onboarding is not a single event. It is a pipeline of decisions: classify the actor, collect documents, verify identity, screen against sanctions and PEP lists, resolve beneficial ownership, assess risk, and either approve, escalate, or reject. At each stage, a case can fail in ways that the industry's headline metrics rarely capture.
Page 1 of 7
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