What AI’s Really Changing in Insurance

Institutional knowledge stays. Manual work goes. Efficiency wins.

When your most experienced people leave, years of institutional knowledge walk out with them. That’s the problem AgentFlow was built to solve.

In this week’s feature video, see how AgentFlow automates end-to-end workflows across finance and insurance, from triage and diligence to decisioning and reporting, while preserving the human expertise that drives great outcomes.

Watch how it all comes together:

Can brokers scale their “secret sales sauce” with AI without losing the human touch?

What happens when underwriting, quoting, and sales automation compress weeks of work into minutes?

Cheynna Massie, Managing Partner at Massie Risk and Founder of Agent3, shares how she’s transforming brokerage from a legacy model into an AI-native ecosystem—where brokers become “risk concierges” operating at superhuman scale.

We covered:

  • Why traditional agencies risk extinction if they don’t adopt AI

  • How generative AI is automating unstructured, high-context commercial insurance workflows

  • The rise of AI-powered marketplaces serving underserved SMBs

  • How Agent3 leverages the carrier API revolution to deliver real-time coverage

  • Why trust, education, and transparency—not price—will define the future of brokerage

Claims, underwriting, onboarding, servicing… these are the high-friction, high-cost workflows that are being quietly transformed right now.

Instead of replacing entire systems, agentic AI fits into existing workflows to automate the repetitive, error-prone tasks that slow everything down.

In this post, we break down the 9 top use cases of agentic AI in insurance — from claims intake to back-office operations — and share why starting with low-risk, high-volume workflows is the smart path forward.