Tl;DR

Insurance customer satisfaction is plummeting as manual processing creates endless delays. Avallon automates back-office claims work for carriers and TPAs with AI agents that handle calls, documents, and data entry so adjusters can resolve cases faster.

https://www.youtube.com/watch?v=pWBvyPugoFQ

Insurance Claims Processing is Manual and Slow

Insurance adjusters are drowning in manual work to process claims. This creates delays, errors, and frustrated policyholders while burying adjusters in tedious work instead of decision-making. Adjusters face three major bottlenecks:

• Fragmented communication: Adjusters spend hours fielding routine calls and emails to gather and relay claim information. Phone tag with claimants, vendors, and internal teams creates delays and frustration.
• Slow document review: Sifting through unstructured documents, photos, and reports to validate evidence is time-intensive. Manual review of complex documentation slows case resolution.
• Tedious record keeping: Converting notes and decisions into structured data for claims management systems requires constant manual data entry.

An aging workforce exacerbates these issues, creating a talent shortage as workloads grow. With median adjuster compensation already at $109k and razor-thin margins for carriers and TPAs, the economics of manual processing are unsustainable.

Meet Avallon: Your Team of AI Claims Agents

Avallon's AI agents plug directly into existing claims management systems and automate these tedious tasks, helping adjusters resolve cases more quickly. Our AI agents work autonomously to handle:

• Communication workflows: Our agents handle routine calls and emails, gathering claim information while eliminating phone tag and keeping all parties updated.
• Document analysis: Our AI instantly processes unstructured documents, photos, and reports, extracting key data points and validating coverage details in seconds.
• Data management: Our agents automatically convert all findings into structured data and populate your claims management system, eliminating manual data entry and errors.

Avallon’s intelligent agents turn claims management from reactive to proactive, helping adjusters make faster decisions, reduce errors, and deliver exceptional customer experiences.

Team:

The team met as grad students at Cornell studying computer science and operations research.

• Cornelius had previously built the complete ops infrastructure to scale FINN US from 0 to $15M ARR as a founding engineer at the car subscription platform. There he saw firsthand how broken fleet claims processes are.
• Bryan previously led product teams consulting for Fortune 500s at EY and conducted ML research at Cornell.
• Jet studied quantitative trading algorithms, is a national champion policy debater, and taught debate at the Taipei American School.

During a fall break hiking trip, the team brainstormed startup ideas until Avallon took shape. They shipped the first version around Christmas, landed their first customer weeks later, and dropped out to pursue the company full-time.

Asks:

We're excited to connect with:

• Insurance company executives and claims leaders who want faster, smarter claim resolutions.
• Industry advisors and operators passionate about digitizing and modernizing insurance processes.
• Journalists and thought leaders interested in highlighting innovation and transformation within the insurance industry.

If you’re ready to streamline your claims operations with AI, email us at founders@avallon.ai or schedule a demo at avallon.ai.

Let’s put AI to work to fix insurance.