AI in Action – Automated Credit Decisioning 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.

The session is led by expert from the client side who was directly involved in evaluating vendors, selecting technology partners, and leading implementation decisions within his organization.

This session breaks down:

• The credit decisioning challenges they were solving
• How they implemented AI-driven automated credit evaluation systems
• Platforms, tools, costs, and implementation timelines
• Risk assessment trade-offs, compliance concerns, 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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