Program details
AI In Banking - Credit Scoring, Fraud Detection, Chatbots
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DateApril 23, 2026
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Duration1 day
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VenueMovenpick Hotel, Karachi
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Investment Fee35000
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Contact03166558838
No overview available.
- This course helps participants to:
- Understand how Al models function in banking
- Evaluate Al-based credit scoring systems
- Identify fraud detection risks and red flags
- Design and govern Al chatbots safely
- Mitigate model risk, bias, and regulatory exposure
- Module 1: Al Fundamentals for Bankers
- AI, ML, NLP & GenAl explained without jargon
- Rule-based systems vs ML vs GenAl
- Data as the new "collateral"
- Where Al creates value-and risk
- Module 2: Al in Credit Scoring & Lending
- Traditional vs Al-driven credit models
- Alternative data (transactions, digital behaviour, utilities)
- Retail, SME & corporate lending use-cases
- Explainability, bias & fairness risks
- Module 3: Al in Fraud Detection & AML
- Al in transaction monitoring, card fraud, account takeover
- False positives vs false negatives
- Model drift & auditability
- Human + Al investigation models
- Module 4: Al Chatbots & Virtual Assistants
- Chatbots vs Conversational Al vs GenAl
- Customer service, onboarding, complaints & sales
- Risks: hallucinations, wrong advice, data leakage
- Module 5: Al Governance, Risk & Regulation
- Model
- Risk Management (MRM) for Al
- Data governance & ethical Al
- Board, management, audit & compliance roles
- Vendor & third-party Al risks
- Module 6: Management & Audit Lens
- Critical questions CFOs, CROs & Auditors must ask
- Al failure scenarios & regulatory inspections
- Building a responsible Al roadmap
- Interactive Learning | Practical Exercises | Case Studies | Group Discussions | Real-World Scenarios
- A practical and interactive learning approach combining trainer-led sessions, real-world case studies, group discussions & practical exercises