Why orchestrating data is the next step for AI in insurance workflows

Insurers unlock greater value when AI operates end to end across workflows, but most are falling short on data readiness.

Embedding AI from FNOL through resolution requires orchestrating data across disparate systems. Yet only 13% of insurers believe their data is AI-ready. For everyone else, the priority is clear: build data flows that can power decisions across systems and workflows.

The challenge isn’t the models, it’s the data. Legacy approaches to data management and point solutions have struggled to support AI at scale. Waiting on core system upgrades risks delaying progress for years. Insurers that move now—by building workflow-led data flows—stand to realize exponential ROI.

Download this infographic to learn:

• Why data readiness is the biggest barrier to AI value in insurance
• What AI-ready data really means across workflows
• A practical blueprint for orchestrating data across systems
• How insurers can start small, prove value, and scale with confidence