πŸ‡ΊπŸ‡ΈUnited States

Excessive Manual Labor and Resource Waste in KYC

1 verified sources

Definition

Banks dedicate 307 employees on average to KYC adherence, involving repetitive data entry, back-and-forth with customers, and manual reviews across siloed systems. This leads to unnecessary overtime and labor costs for every onboarding. Poor data management exacerbates waste by requiring data collection multiple times.

Key Findings

  • Financial Impact: $40m average annual spend per bank; 307 FTEs dedicated to KYC
  • Frequency: Daily across all onboardings
  • Root Cause: Lack of data sharing between departments and absence of automation

Why This Matters

This pain point represents a significant opportunity for B2B solutions targeting Banking.

Affected Stakeholders

KYC operatives, Compliance officers, Data entry staff

Deep Analysis (Premium)

Financial Impact

$0.6m annually per bank (agricultural wealth niche; lower volume) β€’ $0.7m annually per bank (nonprofit wealth niche; moderate opportunity cost) β€’ $0.8m annually per bank (HNW segment smaller volume but higher complexity; opportunity cost from delayed account setup)

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Current Workarounds

Excel spreadsheets, email chains with customers, manual document storage in shared drives β€’ Manual 501(c)(3) verification, Excel-based board member tracking, email-based document collection, manual cross-reference with IRS databases β€’ Manual aggregation of KYC productivity metrics from 307 FTEs across teams, Excel-based labor tracking, email-based status updates, manual SLA monitoring across siloed systems

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

Related Business Risks

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