Instructor-led AI literacy program purpose-designed for BFSI professionals. Domain-specific use cases in lending, compliance, fraud detection, wealth management, and insurance. No coding required.
India's BFSI sector is under simultaneous pressure from regulators requiring explainable AI, technology teams deploying LLMs, and leadership mandating faster loan processing, fraud reduction, and personalized advisory. The gap is not strategy — it is employee understanding.
RBI guidelines on AI/ML in lending, SEBI's focus on algorithmic accountability, and IRDAI's digitization push are creating compliance requirements that operations, risk, and compliance teams must understand — before the technology teams deploy.
BFSI teams cannot push customer financial data to public AI APIs. Understanding what is permissible under DPDP Act, what stays on-premises, and how to use AI responsibly within data boundaries is a core literacy gap the program closes.
Credit scoring models, KYC verification, and fraud pattern detection are already AI-driven in most large BFSI organizations. Employees who do not understand these systems cannot interpret their outputs, escalate appropriately, or flag model drift.
L&D heads at banks and insurance companies are being asked to demonstrate AI readiness to boards. A self-paced video platform with 4% completion does not satisfy that requirement. A proctored, cohort-based program with score reports does.
Separate tracks for different BFSI functions. Everyone gets content calibrated to their role — not a generic "AI 101" session.
Loan officers, credit analysts, retail banking staff, branch managers, and collections teams. AI use cases in loan origination, credit risk scoring, collections prioritization, and customer communication automation.
Compliance officers, risk managers, internal audit, and regulatory reporting staff. Focus on explainable AI, model risk governance, bias identification, DPDP Act implications, and regulatory AI disclosure requirements.
Underwriters, claims assessors, actuaries, and insurance sales teams. AI use cases in underwriting automation, claims fraud detection, customer risk profiling, and AI-assisted policy recommendation.
Relationship managers, investment advisors, wealth planners, and private banking teams. AI for personalized portfolio recommendations, client communication, meeting preparation, and regulatory disclosure automation.
Operations managers, KYC teams, document processing staff, and reconciliation teams. AI for document extraction, intelligent automation, exception handling, and workflow optimization across core banking processes.
CXOs, business heads, and L&D leaders. Strategic AI awareness: where AI creates competitive advantage in BFSI, vendor evaluation criteria, ROI measurement for AI investments, and board-level AI governance conversations.
Six structured modules. No generic content. Every use case drawn from banking, insurance, lending, and capital markets contexts.
India's only AWS Instructor Champion, with 50,000+ professionals trained across BFSI, IT services, manufacturing, and healthcare. 500+ enterprise batches delivered. 4.8/5 CSAT. BFSI AI training sessions draw on real case studies from banking, insurance, and capital markets clients. View full credentials →
Delivered live by Lalit Jhawar via Zoom, Teams, or Google Meet — or on-site at your office. Real-time Q&A, role-specific examples, and immediate clarification of regulatory and compliance questions. Not a recorded course.
Each session runs 15–30 participants for quality interaction. Large organizations (500+ employees) run as multiple cohorts with standardized content and centralized reporting. Mixed-role cohorts can be accommodated.
The 4-hour format covers AI fundamentals, domain use cases, safe prompting, and proctored assessment. The 8-hour format adds responsible AI governance, role-specific deep dives, hands-on prompting workshops, and a Q&A session with the L&D team.
Every program includes a proctored post-assessment, individual participant score reports, team-level readiness summary, attendance records, and digital certificates. Evidence-based data for internal L&D reporting, board presentations, or regulatory audit.