Last week, we were exhibiting at InsurTech NY — one of the industry's premier events for carriers, MGAs, brokers, and the innovators building the next generation of insurance technology. It was a chance to shake hands, share ideas, and have real conversations about where the industry is headed.

Fintech Finance News caught up with our Product Lead, Danny O'Lenic, to dig into what FurtherAI is building and why it matters right now. You can read their full coverage here.

Insurance teams are struggling with manual work

Across every conversation at InsurTech NY, a common thread emerged: insurance teams are buried in unstructured data. Submissions come in as PDFs, emails, and spreadsheets — and someone has to process all of that information into the system. Meanwhile, underwriting audits consume hundreds of hours each review cycle. 

"Our primary focus is eliminating the immense amount of manual work involved in processing unstructured data during submission and claims intake, where people are currently keying in information by hand."— Danny O'Lenic, Insurance Product Lead at FurtherAI

FurtherAI doesn't replace your stack, it makes it intelligent

FurtherAI's approach starts with ingestion: pulling in documents from wherever they live (emails, portals, shared drives) and extracting the structured data buried inside them. But the real differentiator is what happens next.

Rather than replacing a carrier's existing tech stack, FurtherAI builds an AI orchestration layer that integrates with the systems already in place. Clients, whether MGAs, brokers, wholesalers, or carriers, can keep their existing underwriting workbenches and claims systems. FurtherAI augments and automates the workflows that run through them.

In practice, that means:

• Submissions processing: automatically extracting, validating, and routing submission data so underwriters can focus on risk evaluation, not data entry.
• Claims intake: handling FNOL and intake workflows end-to-end, cutting the time between a claim event and a decision.
• Underwriting audit: automating the file reviews and compliance checks that currently consume 200+ hours per MGA audit cycle.
• SOV mapping and policy comparison: structuring complex property data and flagging discrepancies across policy documents instantly.

The result: customers report 30x faster intakes, up to 97% data accuracy, and ROI upwards of 646%.

The industry has moved from AI curiosity to AI deployment

One of the most exciting shifts of the past year for us is watching AI going from a topic of debate to a mode of action.

"Companies have moved from debating its utility to being in full-on adoption mode. A mass proliferation of AI across both in-house builds and vendor-led solutions.” — Danny O'Lenic, Insurance Product Lead at FurtherAI

That's exactly why events like InsurTech NY matter. It's where that momentum becomes tangible, where carriers are ready to move, and where conversations turn into partnerships.

If you're evaluating how AI fits into your workflows, we'd love to continue the conversation. Book a demo to see the orchestration layer in action.

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