Will Your Claims AI Project Scale or Stall? Why operational bottlenecks, not AI technology, decide what happens next
24
3:00 PM - 3:45 PM
If you are shopping for claims AI before assessing your operational readiness, you are working back to front.
Claims AI pilots do not usually stall because the technology doesn't work. They stall because the operation around it isn't ready to scale.
A vague use case, a weak business case, fragmented data, undocumented logic, recommendations sitting outside the adjuster workflow, or governance added too late.
In this 45-minute interactive webinar, you will learn the 7 operational dimensions most likely to stop AI projects scaling, and how to identify your weakest link.
What you will discover...
1. Why claims AI initiatives stall
Why do projects that look promising in isolation often fail to create business value?
2. The seven dimensions of claims AI readiness
We will group the seven dimensions into three practical questions:
- Is your AI project solving the right problem?
- Can the AI support the decision?
- Can the AI operate safely inside the live workflow?
3. How to identify your weakest link
Learn how to assess your claims operation across seven AI readiness dimensions, and how to read the results, find and fix your biggest bottleneck.
5. What real claims operations fixed first
We will examine three real-world claims operations:
- A US Homeowners carrier focused on water damage claims
- A US Accident & Health carrier handling long-term care claims
- A US Specialty MGA focused on marine cargo claims
See how each organization scored, what their radar shapes revealed, and what action they took to kick start their progress.
Who should attend?
This session is for claims operations, innovation, transformation, and technology leaders at carriers, MGAs, and TPAs who are:
- Exploring potential claims AI use cases
- Building a business case for AI
- Running one or more pilots
- Live in production for selected claims
- Trying to scale AI across claims or lines of business
- Looking for a practical way to assess readiness before investing further
Why attend live?
Be the first to take our quick and easy Claims AI Readiness Test - a free digital scorecard that enables you to self-assess AI readiness. Complete the test online and receive a personalized readiness profile, with recommended actions.
You will also leave with a clearer understanding of:
- The seven dimensions that determine claims AI Readiness
- Why claims AI projects usually stall due to operational weaknesses, not technology failures
- How to interpret common radar shapes
- Why the weakest operational dimension sets the ceiling
- What real organizations fixed first
Speakers
Alan Demers
President, InsurTech Consulting, LLC
Alan Demers, President of InsurTech Consulting, LLC, provides strategic development, subject matter expertise and advisory services. Former executive with over 35 years of P&C insurance claim experience, Alan collaborates in the forefront of insurtech, partnering with insurance leaders, insurtech start-ups, solution providers and investors to modernize insurance with a concentration on claims. Alan is the curator of ‘Connected’ - 3 minute scan of the Insurance Ecosystem, newsletter - www.insurtechconsult.com
Charlie Hobbs
Director, North America
Charlie Hobbs is Director of North America at Sprout.ai, where he helps insurers explore how AI can improve the speed, consistency, and scalability of claims decision-making. He brings over a decade of experience scaling software businesses across the US and UK, with a focus on enterprise partnerships and highly regulated industries including financial services and insurance.
In his role, Charlie works closely with claims, operations, and technology leaders to identify where AI-powered automation can deliver practical operational value.
Greg Adams
Head of Product & Solution Engineering, Sprout.ai
Greg joined Sprout.ai with over 10 years of experience delivering SaaS solutions for enterprise customers. Prior to Sprout.ai, he led a team of solution architects at DocuSign, where he specialized in AI and the broader platform. At Sprout.ai, Greg heads up our Product and Solution Engineering teams, working closely with customers to align their needs with our product roadmap and driving innovation from concept through to delivery.
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24
3:00 PM - 3:45 PM