Kay

Kay (kay.ai) develops AI agents marketed as an "AI workforce" or AI co-worker for insurance operations. The system takes an agency's standard operating procedures — often scattered across documents, spreadsheets, email chains and staff knowledge — and converts them into an executable, living procedure that the agents run end to end. Rather than requiring API integrations or new software, Kay logs into the systems an agency already uses: carrier portals, agency management systems (AMS) and CRMs, where it fills forms, reads documents such as emails and PDFs, keys in data and logs activities.

Documented workflows include commercial lines submissions and quoting (BOP, GL, workers' compensation, auto), personal lines renewals and one-click home/auto/package quoting, generation of ACORD forms, certificates of insurance and proposals, policy checks, endorsements, carrier notice and document downloads, and AMS activity updates. Tasks can be delegated by email or from the AMS. The agents run continuously, pause and escalate uncertain cases to staff via channels such as Microsoft Teams or email, retain corrections for subsequent runs, and keep an auditable, real-time record of every action for compliance purposes. Kay positions itself against legacy RPA tools, comparative raters, offshore BPOs and virtual assistants, and publishes a "Kay vs BPOs" comparison on its site.

The company is based in New York City, with an address listed at 240 Kent Ave, Brooklyn, NY. Its site lists industry affiliations, a trust center and security materials, and it is a Premium Partner of the insurance technology resource Catalyit.

Founding story

Kay was founded by Vishal Rohra and Achyut Joshi. Rohra, founder and CEO, describes the motivation as ending the choice insurance organizations face between people, who do the work but do not scale, and software, which scales but does not fully do the work — a problem he says he observed while visiting hundreds of agencies, where experienced account managers spent time keying data into agency management systems and operations leaders repeatedly retrained offshore teams.

Business model

Kay sells its AI agent service to insurance agencies, brokerages, MGAs and carriers, engaging prospects through booked demos. Onboarding is service-led: the customer supplies existing SOPs, which Kay converts into automated procedures within days to weeks, without API build-out or new software for staff to learn. The company also works with associations and agency networks whose member agencies use the product, and offers a subscriber promotion through partner Catalyit.

Traction

The company reports customers including Johnson Insurance, The Fidella Agency and Weed Ross Insurance, and publishes named-role testimonials from agency vice presidents, operations specialists, COOs and network CEOs. Claimed results include saving two hours of quoting time per application at one-quarter the cost, workflow automation live in under two weeks (and in one cited case four days), hundreds of hours saved per month per workflow, roughly 80% cost savings versus manual or BPO approaches, and about 20% higher quote hit rates. The founder states he has spent time inside hundreds of agencies over the past year.

Latest developments

Kay's website presents an expanded workflow catalogue — certificates, renewals, policy checks, carrier downloads, AMS activities and endorsements — along with customer video reviews, industry affiliations, a security trust center, open careers listings and a "Kay vs BPOs" comparison, indicating continued commercial expansion following the March 2025 funding round.