What’s Next for Agentic AI in Insurance?

As agentic AI moves into everyday insurance operations, what will separate promising technology from lasting business value? In this four-part ISI INSIGHT video series, Cameron Scott explores the next priorities for insurers and MGAs.

Agentic AI is creating new opportunities for insurers and MGAs to streamline operations, support underwriting decisions, and give teams more time to focus on higher-value work.

But as AI moves from experimentation into production, the conversation is evolving. It’s no longer just about what AI agents can do. It’s about how they deliver trusted results, fit into existing workflows, and support the people who rely on them.

In this four-part ISI INSIGHT Quick Takes series, ISI’s Cameron Scott shares practical perspectives on what’s next for agentic AI, drawing on real-world experience bringing agents into insurance operations.

Four Questions Shaping the Next Phase of Agentic AI

For insurance leaders looking to advance their AI strategies, this four-part series explores some of the questions shaping what’s next:

• What’s the next big thing in agentic AI? Where are the next opportunities for insurers and MGAs?

• Beyond the demo, what’s agentic AI delivering in underwriting? What does real-world value look like?

• Is a better LLM really enough? What else is needed to deliver trusted, reliable results?

• How do you bring underwriters along? What does it take to build confidence and encourage

Implications for Leadership

As agentic AI capabilities continue to evolve, the opportunity extends beyond automating individual tasks. Insurers and MGAs can take a more strategic approach to where AI creates value, how it is governed, and how it supports their teams.

Three considerations stand out:

• Focus on meaningful business outcomes: Prioritize AI opportunities that address operational challenges and deliver measurable value.

• Align teams and priorities: Bring underwriting, operations, and technology leaders together around shared objectives and accountability.

• Put people at the centre: Equip underwriters and operational teams with AI tools that complement their expertise and support better decision-making.

The next phase of agentic AI in insurance will be defined not simply by more capable technology, but by how effectively insurers and MGAs put it to work.