⚡ LIVE SESSION at ITC VEGAS 2026

AI Before the Overhaul: Delivering AI Value While You Modernize

The assumption that AI requires a fully rearchitected data estate is the single biggest thing holding carriers back. We'll show you what happens when you stop waiting.

Wed, September 30, 2026

3:00 – 4:00 PM PST

AWS Room, Jasmine B, 3rd Floor, Mandalay Bay Convention Center

View Venue Map — Find Jasmine B on the 3rd floor

Reserve Your Spot

Limited seating — priority given to carrier & MGA leadership

The Problem

Multi-year data transformation programs stall.

Budgets balloon. Business teams wait. And the assumption that AI requires a fully rearchitected data estate before you can start? It's the single biggest bottleneck holding carriers back.

What if you didn't have to wait?

The Approach

Work across disparate data as-is — no forced migration.

We deploy agentic AI on top of your existing systems. An AI-applied data ontology replaces months of manual normalization. Underwriters get a unified view without anyone touching a legacy database.

Low-cost. Fast deployment. Weeks, not years.

What You'll Walk Away With

One hour. Three concrete takeaways. A working session built for leaders who are tired of waiting on data transformation to "finish."

The architecture that works now

Governance frameworks, insurance ontology & agentic AI deployed on existing data estates — not theoretical future-state ones.

A live user journey — end to end

Watch context pulled from core systems in seconds using Amazon Quick & Amazon Connect — from application intake to underwriter decision.

A path from here to production

A candid discussion on what it actually takes to go live — timelines, architecture decisions & how other carriers have done it.

What You'll See Live

From application intake to underwriter decision. A single user journey across real systems — no slides, no mockups.

Step 1

Application Intake

Structured & unstructured submissions ingested automatically.

Step 2

AI Extraction & Normalization

Agentic AI reads, classifies & normalizes across disparate formats.

Step 3

Ontology-Driven Data Mapping

Insurance ontology maps extracted fields to a unified underwriting view.

Data Ontology Layer

Step 4

Underwriter Decision Support

Enriched, normalized data surfaced in a single pane — ready for action.

Step 5

Customer Outreach

AI-triggered follow-ups & status updates — no phone tag.

Outcomes

Faster

Days/weeks to minutes/hours

More Accurate

AI extraction cuts manual errors

Better CX

AI outreach replaces phone tag

Lower Cost

Automate routine underwriter workload

Confident

Complete, normalized data every time

Who This Session Is For

Built for leaders who own the underwriting problem.

Chief Underwriting Officers

See what AI-augmented underwriting actually looks like in production.

Chief Data & Analytics Officers

Learn how agentic AI resolves fragmented data without forced migration.

CTOs & Digital Transformation Leads

Evaluate an AWS-native architecture that deploys in weeks.

Innovation Leads at Carriers & MGAs

Assess real-world ROI from AI-first underwriting modernization.

Presented By

Lisa Waters

AWS FSI Sales Leader,
Quantiphi

Shawn Marie Frazier

Principal Advisory, FSI
Quantiphi

Duane Osburn

Machine Learning Architect
Quantiphi

Jay Mehta

Sr. Applied AI Architect
AWS