AI-Driven Loan Monitoring &
Early Warning Stress
Discover how modern lenders leverage transaction-level intelligence with Hawkeye to identify risk, prevent defaults, and automate portfolio health tracking.
The power of proactive loan monitoring
Hawkeye continuously monitors post-disbursement risk by analyzing bank statement feeds and transaction data, translating complex cash flows into simple warning alerts.
Real-time transaction surveillance
Monitor daily cash movements and balances to capture risk markers before periodic financials are available.
AI-led bank statement analysis
Automate ingestion, parsing, and categorization of banking data for continuous risk evaluation.
Automated early warning signals
Configurable triggers align with credit policy, risk frameworks, and portfolio monitoring needs.
High-impact 30-minute agenda
A condensed walkthrough on scaling loan monitoring using automation, behavioural signals, and AI.
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The state of post-disbursement risk
Why traditional monthly or quarterly reviews leave lenders vulnerable, and how transaction monitoring bridges the gap.
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Hawkeye AI Early Warning Stress walkthrough
See how alert rules, cash-flow patterns, and risk indicators can be monitored across borrowers.
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Interactive Q&A
Discuss model accuracy, data integrations, compliance structures, and operational adoption for your portfolio.
Meet your speaker
Get practical insights from the team working on AI-led bank statement analysis and early warning risk indicators.
Shubham Chaurasia
Data AnalystShubham focuses on artificial intelligence systems for automated credit appraisal memos, bank statement analysis, and real-time early warning risk indicators. He works closely with banking and lending teams to transition risk infrastructure into automated digital workflows.
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