AI in Action – Smart Payment Monitoring in Insurance (Client Lens)

Go beyond concepts. Access real-world AI use cases across industries — understand what worked, what didn’t, and what it actually takes to implement.

AI in Action is a curated library of real-world implementation experiences shared by CIOs, CTOs, and business leaders across industries.

This session breaks down:

• The payment monitoring and transaction risk challenges they were solving
• How they implemented AI-driven payment monitoring and fraud detection systems
• Platforms, tools, costs, and implementation timelines
• Accuracy concerns, compliance trade-offs, and operational bottlenecks
• Key insights, outcomes, and what they would improve differently

Course Content

Use case background
Problem statement
Stakeholders involved
Implementation
Vendor evaluation & selection criteria
Cost & Time involved, bottlenecks
Learnings
Outcome
Future roadmap
Current use case
Allied use cases
Meet Your Instructor
Odero Otieno is a seasoned AI and technology leader, currently serving as Founder & CEO/CTO of Dipp AI Technologies. He specializes in building next-generation enterprise AI infrastructure, with a strong focus on agentic systems, governed autonomy, and scalable AI platforms. With prior leadership roles at Microsoft and Humana, he has led large-scale cloud, data, and AI initiatives supporting multi-billion-dollar business operations. His work centers on bridging the gap between experimental AI and reliable, enterprise-grade execution, enabling organizations to deploy intelligent, auditable, and high-impact AI solutions.
₹120000
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This course includes:
  • Lessons 7
  • Topics 0
  • Duration 1.5 Hours
  • Quizzes 0
  • Language English
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