From 20 minutes to 2: WorkFusion's Evan streamlines adverse media screening for KYC

WorkFusion's AI Agent Evan slashes adverse media reviews from ~20 minutes to ~2 without sacrificing decision quality. Fewer false positives, faster onboarding, cleaner audits.

Categorized in: AI News Management
Published on: Oct 14, 2025
From 20 minutes to 2: WorkFusion's Evan streamlines adverse media screening for KYC

How WorkFusion's AI Agent Evan Redefines KYC Efficiency

Adverse media screening eats time and budget. Leaders want faster onboarding, fewer false positives, and cleaner audits. Evan delivers that by compressing a 20-minute manual review into roughly two minutes while keeping decision quality high.

What Evan Does

Evan is a pre-built AI Agent that plugs into your case management and news aggregation stack. He screens high volumes of articles, flags real risk, and filters out noise. The result: fewer manual touches and a consistent, auditable process.

  • Triages negative news alerts and highlights items that merit human review
  • Pulls evidence from internal and external sources and attaches it to the case
  • Creates clear narratives aligned to internal policy and regulatory expectations
  • Keeps complete audit trails for every decision

Where It Fits in Your Process

  • Onboarding: Sources relevant news on client names and aliases, scores risk, and drafts a concise narrative for KYC files.
  • KYC refresh and pKYC: Continuous monitoring so emerging risks surface quickly, not at the next periodic review.
  • PEPs and high-risk activity: Helps spot exposure linked to sanctions evasion, terrorist financing, and other financial crime topics.
  • Counterparty and vendor checks: Supports third-party integrity monitoring to avoid reputational damage.

Why Management Should Care

  • Cut review time from ~20 minutes to ~2 minutes per alert
  • Reduce false positives and analyst rework
  • Speed up onboarding while improving documentation quality
  • Strengthen audit readiness with standardized evidence capture
  • Scale monitoring without linear headcount growth

Integrations and Deployment

Evan connects out of the box to major data sources (Thomson Reuters, LexisNexis, Google, Factiva) and case/CLM systems (Salesforce, Pega). Teams can roll out fast without rebuilding their tech stack.

  • Connect news and database feeds and map entity fields
  • Define your risk taxonomy and tagging (e.g., fraud, sanctions, corruption)
  • Set policies for auto-close thresholds and escalation rules
  • Configure evidence templates and narrative structure
  • Run QA sampling and calibrate scoring before full scale
  • Train analysts on review, override, and escalation paths

Controls and Compliance

Supervisors across the U.K., U.S., Switzerland, Germany, Hong Kong, and Singapore expect adverse media screening as part of AML programs. Align policy with industry guidance and document how alerts are dispositioned.

  • Maintain versioned procedures and clear ownership for policy changes
  • Log sources, timestamps, and analyst decisions for each case
  • Ensure screening covers PEPs, sanctions exposure, and relevant typologies
  • Apply regional data retention and access controls

Useful references: Wolfsberg Negative News Screening FAQs and FATF Recommendations.

Core Metrics to Track

  • Average handle time per alert (baseline vs. with Evan)
  • Alert throughput per analyst per day
  • False positive rate and auto-closure rate for low-risk alerts
  • Case aging and SLA adherence
  • Escalation rate and QA pass rate
  • Cost per adverse media check

Example Workflow

  • Ingest alerts from news feeds and internal systems
  • Deduplicate and resolve entities against client/alias data
  • Score sentiment and risk, map to policy categories
  • Generate narrative with links to source evidence
  • Auto-close low-risk items; escalate uncertain cases with all context attached
  • Sync decisions, notes, and documents back to case management

What This Means for Your Team

Evan takes the grind out of negative news monitoring so analysts spend time on judgment, not search. You gain speed, consistency, and traceability without sacrificing control. That's how you move from backlog to proactive KYC.

Next Steps

  • Pick one process (e.g., onboarding) and run a four-week pilot with clear KPIs
  • Calibrate scoring and auto-close thresholds with compliance sign-off
  • Scale to refresh and continuous monitoring after QA goals are met

If you're building internal capability around AI-driven operations, explore practical programs here: AI Automation Certification and curated AI tools for finance.


Get Daily AI News

Your membership also unlocks:

700+ AI Courses
700+ Certifications
Personalized AI Learning Plan
6500+ AI Tools (no Ads)
Daily AI News by job industry (no Ads)