Bevaya

Bevaya is the AI agent platform built for insurance, by Roots Automation, Inc. Our AI agents read, analyze, and recommend across insurance operations.

[Bevaya @BevayaAI]

Generative AI is probabilistic, not deterministic: https://t.co/0L1AcsjeO5 That's exactly what makes it valuable for insurance. It reads unstructured documents, ambiguous narratives & complex claim files the way experienced insurers do, when the right governance sits around it.

[Bevaya @BevayaAI]

AI ownership is one of the smartest decisions an insurance program can make early on: https://t.co/eMpQvVimhp With governance and deployment roles in sync, teams have what they need to turn plans into outcomes. Tomorrow's session walks through how. Last chance to register!

[Bevaya @BevayaAI]

A national commercial carrier with 3,000+ correspondence items hitting their imaging team daily brought in our AI Agents: https://t.co/pkaDJSYzkv The result: SLA targets met, 6 FTEs of capacity freed, and adjusters working from a complete file instead of waiting on one.

[Bevaya @BevayaAI]

Big news! Today, we've launched Bevaya – an all-new AI Agent platform built for insurance. New name, new architecture, new capabilities. Built on 7 years, 115 deployments, and the largest carriers, brokers, and TPAs in the industry. Read the announcement: https://t.co/fBBK7IDaSZ

[Bevaya @BevayaAI]

When should an AI agent act on its own, and when should it stop and ask a person? https://t.co/y69MkgjMKE Our latest blog breaks down confidence scoring and user-set thresholds, and why both matter for AI accuracy in insurance.

[Bevaya @BevayaAI]

Buried details cost insurers money: https://t.co/K1tEWe6xgS A medical record three folders in. A timeline gap that should have triggered a reserve change. AI summarization helps adjusters get there faster. Hours of digging become minutes of reviewing.

[Bevaya @BevayaAI]

Getting AI right in insurance comes down to the early calls on ownership, governance, and how teams work alongside it: https://t.co/bjUQzHcjji Our new infographic walks through 9 principles to help insurers put AI to work with confidence this year.

[Bevaya @BevayaAI]

AI adoption in insurance is as much a people decision as a technology one. The organizations getting it right are the ones preparing their teams early: https://t.co/tnqoeYYGok Watch on demand for workforce strategies you can put into place now.

[Bevaya @BevayaAI]

Colorado just rewrote its AI law. SB24-205 is out, SB26-189 is in: bias audits gone, consumer transparency and the right to human review in. Most takes effect January 1, 2027. What it means for insurers: https://t.co/Zl5jqnSaNM

[Bevaya @BevayaAI]

Strong AI governance is how insurers move faster with confidence: https://t.co/r7J4FJeSRI Our AI Governance for Insurance checklist helps leaders set the structure, accountability, and controls that make scaling AI sustainable.

[Bevaya @BevayaAI]

Who owns AI in your insurance organization? For insurers just starting out, that answer shapes everything that follows: https://t.co/3TrhCrKPbD Join our upcoming session to hear what AI ownership looks like and how to define the right roles before your program gets going.

[Bevaya @BevayaAI]

3,000 claims items a day. 98.5% straight-through. 322% ROI. This is what high-volume claims indexing looks like in production at one national commercial carrier. Explore our Claims Indexing AI Agent: https://t.co/4aVDbv8e6Q

[Bevaya @BevayaAI]

Speed to decision. Accuracy. Scalability. These are the areas where traditional automation hits its ceiling and where AI automation picks up: https://t.co/POKPeudsw9 See all seven.

[Bevaya @BevayaAI]

Warmer days, fresh air, and a good moment to rethink how insurance teams are spending their time: https://t.co/HyIPC85098 Our blog outlines 8 tasks AI agents can take on, so your team can spend less time on busywork and more time on the decisions that count.

[Bevaya @BevayaAI]

Defining who owns AI inside your insurance organization is an important early step in building a strong program: https://t.co/SmhmdwM8Gq Clear roles, accountability, and executive backing give your team the structure to move forward with confidence. Join us on June 2.

[Bevaya @BevayaAI]

Can your team prompt its way to production-grade insurance AI? Our latest blog explains 6 reasons vibe-coding your own insurance AI rarely holds up: https://t.co/jMZ4CJQlQs

[Bevaya @BevayaAI]

What does production-scale AI in claims look like for an insurer like Eastern Alliance? https://t.co/XZU7Ccwy3u They now process 87% of claims documents straight through, with a 60% drop in manual indexing review & more than 22k hours given back to the team. Read the full story.

[Bevaya @BevayaAI]

New to AI in insurance? Last chance to register for tomorrow's session, which breaks down a clear approach for insurance teams: https://t.co/NXWpFsOeKG We'll cover how to find the right fit across underwriting, claims, and servicing, and where to go from there.

[Bevaya @BevayaAI]

Traditional insurance automation was built to move work, not understand it: https://t.co/a2CCkh4WAc That gap is in the documents, and it adds up across every file, every workflow, and every team. Here are the 7 places where AI automation closes it.

[Bevaya @BevayaAI]

The insurance teams getting the most out of AI are not the ones moving the fastest. They're the ones building with the right foundation: https://t.co/XPkMB89axu