Key Takeaways
Agentic AI is no longer experimental — leading carriers are deploying it at global scale today.
Carriers running modern AI operations are processing more risks, faster, without adding headcount.
For MGAs, connectivity is the equalizer. Clean, automated, real-time data exchange positions distribution partners to benefit directly as leading carriers raise the pace of their operations.
Zurich Commercial Insurance, working with Cytora, deployed agentic AI across five countries in just 90 days
Something significant is happening across the commercial insurance industry, and carriers and MGAs are watching it reshape the competitive landscape in real time. A growing number of major carriers are deploying agentic AI across their underwriting operations, not as a pilot and not as a proof of concept, but at global scale. The carriers moving fastest are processing risks more quickly, handling higher submission volumes, and building operating models that make their peers look slow by comparison.
For carriers and MGAs who haven't yet made that move, understanding what these early movers built – and how quickly they built it – is the starting point for evaluating where they stand.
What Carrier-Level AI Deployment Actually Looks Like
The numbers coming out of early enterprise deployments are instructive. Zurich Commercial Insurance, working with Cytora, part of the Applied Systems® family of companies, deployed agentic AI across five countries in 90 days as part of a broader program targeting more than 20 markets within 16 months. The goal: cut manual submission triage time from 75 minutes down to 15, while processing materially higher submission volumes without adding underwriting headcount.
The deployment speed is enabled by a master schema approach, meaning core data requirements are built once and reused across every new market or line of business. New territories come online in weeks. Local language support is built in from the start. Unstructured, multi-format submission documents are converted into structured, decision-ready risks and delivered directly into the underwriter's workflow, with accuracy rates above 95%.
The result is a fundamentally different operating model. Carriers running this way can triage more risks, respond faster to brokers, and compete more aggressively in the markets where speed wins.
The Implications for Carriers and MGAs
For carriers evaluating their own modernization roadmap, this is a clear proof point that agentic AI at global scale is no longer aspirational. The deployment architecture exists, the implementation timelines are real, and the operational gains are documented.
For MGAs, the implications are equally direct. As leading carriers raise the pace and volume of their operations, the distribution partners best positioned to benefit are those with the connectivity infrastructure to match. Clean, automated, real-time data exchange between MGAs and their carrier partners is what allows faster appetite signals, quicker submission feedback, and tighter working relationships – the kind that compound over time.
The Window Is Open
Carriers that move now can establish operating advantages that are difficult for slower movers to close. MGAs that invest in the right connectivity infrastructure are better positioned to work with carriers running modern operations. The technology has been proven at scale. The question is no longer whether agentic AI belongs in commercial insurance. It is who will build on it, and how fast.
Read the full Cytora case study on how Zurich scaled agentic AI across 20+ markets: Zurich Scales Agentic AI to 5 Countries in 90 Days.
Author
Michael Streit
Michael Streit leads the Ivans business. Michael previously served as President of EZLynx, the fastest growing agency management system in the US. Michael began his career as a management consultant at Bain & Company and spent nearly a decade working in Private Equity Operations at Bain Capital and Centerbridge. He received his BA from Notre Dame and his MBA from Harvard Business School.
