Notifications
Clear all
Topic starter
11/07/2026 8:44 pm
TL;DR: Customer onboarding fails when data is siloed, manual KYC is slow, and governance is weak, with Forrester citing over 64% of banks losing deals and revenue due to onboarding problems. The operational lesson is that identity verification quality, workflow design, and lifecycle controls now determine both conversion and compliance.
NHIMG editorial — based on content published by Seamfix: customer onboarding challenges, KYC process gaps, and best practices for improvement
By the numbers:
- over 64% percent of banks report lost deals and revenue due to problems in the current onboarding process
- financial institutions, as at 2015, were taking around 24 days to onboard new customers
- only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them
Questions worth separating out
Q: What breaks when customer onboarding data is siloed across systems?
A: Siloed onboarding data breaks identity assurance because reviewers cannot see a complete, consistent record of the customer.
Q: Why do manual KYC processes slow onboarding and increase risk?
A: Manual KYC slows onboarding because every document check, exception, and approval depends on human routing rather than automated decisioning.
Q: How do organisations know if onboarding controls are actually working?
A: Good onboarding controls produce low exception rates, short but consistent processing times, and decision records that can be reconstructed later.
Practitioner guidance
- Centralise customer identity evidence Create a single customer data repository for onboarding decisions, with validated fields, document status, and decision history available to authorised reviewers.
- Standardise KYC decision workflows Define tiered approval paths for low-risk, medium-risk, and high-risk onboarding cases so manual review is reserved for exceptions rather than every applicant.
- Measure onboarding control quality Track abandonment, exception rates, verification failures, and average onboarding time together so speed improvements do not hide weaker assurance.
What's in the full article
Seamfix's full article covers the operational detail this post intentionally leaves for the source:
- The article expands on the specific onboarding pain points affecting banks and mobile operators across KYC workflows.
- It describes practical policy and governance steps for creating a centralised customer onboarding function.
- It outlines how biometric checks fit into a digital KYC process for facial and fingerprint verification.
- It explains why automation reduces repetitive manual document handling and improves customer experience.
👉 Read Seamfix's article on customer onboarding and KYC process challenges →
KYC onboarding gaps: what security and compliance teams need to fix?
Explore further
11/07/2026 9:13 pm
Customer onboarding is an identity assurance control, not an administrative step. The article correctly shows that onboarding quality affects business conversion, but the deeper security point is that every onboarding flow creates a trust decision. Where verification, approval, and recordkeeping are fragmented, organisations cannot prove who was admitted or why. For identity, fraud, and compliance teams, onboarding should be treated as a governed control point with measurable assurance outcomes.
A question worth separating out:
Q: Who is accountable when customer identity verification fails?
A: Accountability sits with the business function that owns onboarding policy, the operations team that executes it, and the compliance function that checks whether evidence and retention meet regulatory requirements. If those responsibilities are not explicit, failures become shared problems and weak controls persist. Clear ownership is part of the control itself.
👉 Read our full editorial: Customer onboarding security depends on data quality and KYC governance
