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Banking verified Verified Outcome TRL 9

AI for High-Volume Recruitment

domain Client: Leading Singaporean Bank handshake Provider: Impress.ai schedule Deploy: 2018-2023
87 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

The bank deployed an AI-powered recruitment bot ('JIM') to screen resumes and conduct initial chat interviews for high-volume wealth planning roles.

rate_review Analyst Verdict

"Efficiency focused HR-tech. For high-volume, standardized roles, AI screening removes massive administrative burden from recruiters, allowing them to focus on the final interview stages."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

The bank received thousands of applications for entry-level wealth management roles. Recruiters spent the majority of their time on low-value tasks like screening resumes and scheduling interviews, creating a bottleneck that slowed down hiring and resulted in a poor candidate experience.

psychology The Solution

The institution built 'JIM' (Jobs Intelligence Maestro), a custom AI bot. JIM reviews resumes against job criteria, conducts text-based pre-screening interviews with candidates 24/7 to assess psychometrics and fit, and automatically schedules interviews with human recruiters for the final shortlist.

settings_suggest Technical & Deployment Specs

Integrations
ATS (Taleo/Workday)
Deployment Model
SaaS
Data Classification
PII
Estimated TCO / ROI
Low
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Algorithmic Bias Medium Regular bias auditing

trending_up Impact Trajectory

Audited value realization curve

40 hours of recruiter time saved per month Verified Outcome
Primary KPIReduction in application completion time
Audit CycleZero bias in initial screening

policy Compliance & Gov

  • Standards: Fair Hiring Guidelines
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: PII

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Leading Singaporean Bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-453
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-453

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