Convr AI® Deploys Agentic AI Workflows, Advancing Autonomous Underwriting
"Agentic AI reduces friction across the underwriting process," said
Convr's template library with pre-built starter prompts enable underwriting team members to build a workflow without being a prompt engineer. They can tailor the starter prompts as well; they simply need some basic underwriting experience to be able to deploy them.
One example is Convr's referral agent, which automatically generates a referral summary – looking at exposures, losses, and limits, etc. The Referral Agent informs the user whether the submission is within appetite, or if it requires a referral. Users can choose to give the agent more agency as well.
"You can actually give the agent more agency to make the referral," said Harish Neelamana, Co-Founder and President at Convr. "You can drive the declination process without stepping into it and you can make corrections on your initial clearance and triage. Those are all templates that are built into the Convr platform."
"Unlike traditional automation tools that wait for user commands . . . Agentic AI workflows proactively gather data, flag risks, fill forms and recommend actions – operating much like a digital team member within the workbench," said Stammen.
This historical marker for Convr is a win for commercial insurance and is a pivotal moment as we advance commercial insurance, accelerating the industry's shift from manual processes to intelligent, technology-driven underwriting.
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SOURCE Convr
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