Reliance Global Group has deployed an AI agent that automates browser-based work across its insurance agency network, targeting the thousands of hours of repetitive portal tasks that come with each newly acquired firm. The technology lets the company absorb new agencies without adding headcount at the same rate, while keeping human review as the final control gate.
What the agent handles
The agent performs service requests, endorsements, quote retrieval, status checks, and document downloads. It manages carrier portal access and records every browser action through event logs and screenshots. For agencies running on thin margins, this kind of AI Agents & Automation targets the manual, high-volume tasks that eat into staff hours without generating revenue.
Each agency brought onto the platform adds what COO Judah Korman described as "thousands of hours of repetitive portal work." The agent absorbs that load directly.
Where the guardrails are
The system cannot submit, issue, or bind transactions. Completed work is saved for employee review, and credentials stay hidden from the AI model - they never appear in logs. These controls address a core concern in AI for Insurance: automation cannot override the licensed professional's judgment on binding decisions.
The commercial play
Reliance plans to sell the platform externally through developer, team, and enterprise plans, with self-hosted and virtual private cloud options. The company is using its own agency portfolio as the proving ground before widening the offering.
"Every agency we bring onto the platform comes with thousands of hours of repetitive portal work. This agent allows us to absorb that work without scaling headcount while maintaining the controls required in insurance operations," said COO Judah Korman.
Why this matters for insurance professionals
An agent that handles carrier portal navigation and document retrieval could shift how agencies allocate their licensed staff. Instead of burning hours on status checks and quote lookups, producers and account managers spend more time on client-facing work. The catch is that the technology comes from a company whose stock is speculative and volatile - adoption depends on execution, not just the idea.
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