Insurance Claims Are Broken. Why You're Still Using 2010 Tech
Insurance claims are broken. They always have been. But now AI is making it impossible to ignore. Accenture found poor claims experiences could cost insurers up to $170 billion in lost premiums by 2027. That is not a prediction. That is a debt collectors' notice written in advance. Meanwhile claims adjusters have an 83% turnover rate after three years. That is insane. You would not keep a job where you quit every year. No one should be forced to work that way. The solution is not more meetings. It is not another policy update. It is computer use AI that actually handles the work.
The Numbers Are Insane. Your Processes Are the Problem
Let's look at what we know. Poor claims experiences put $170 billion of global insurance premiums at risk. That is every major carrier's quarterly revenue combined. The other half of the story is even worse. Standard claims processing costs money. Real automation cuts them by 30%. But most insurers are stuck in manual hell. Adjusters spend hours on data entry instead of investigating fraud or evaluating damage. That is where the real money goes. Every integration gap creates errors. Every verification delay compounds frustration. Customers hate waiting. Employees hate doing work that a machine could handle in seconds.
Why RPA Isn't the Answer
- ●RPA is brittle. It breaks when UI changes. It fails on unstructured data.
- ●Traditional automation needs hand-crafted flows for every single form and workflow.
- ●Insurers have hundreds of legacy systems. RPA cannot bridge them all.
- ●Claims involve judgment calls that no rule-based system can handle.
- ●Most RPA implementations fail to deliver ROI because they miss the real problem.
Adjusters have an 83% turnover rate after three years. This is a structural failure. You cannot fix it with more paperwork or better onboarding. You need to remove the work that drives people away.
AI Computer Use Is Finally Real
We are done with API wrappers and simulated clicks. Real computer use agents control real desktops. They open browsers. They fill forms. They read PDFs. They navigate legacy systems that no one updated since 2010. This is the difference between pretending to automate and actually getting work done. Traditional tools try to abstract away the UI. AI agents actually interact with it like a human. That is why they can handle messy, unstructured workflows without constant human intervention. Insurance claims are messy. That is the point. They involve supporting documents, handwritten notes, legacy portals, and contradictory information. Only a computer use agent that can see and click can navigate that chaos.
Why Coasty Is The Only Computer Use Agent That Matters
Not every AI agent is built the same. OSWorld benchmarks exposed the difference. OpenAI Operator scored 38%. Anthropic's Computer Use scored 22%. Coasty scored 82%. That is not a typo. That is the gap between an agent that needs constant babysitting and one that can actually work independently. Coasty controls real desktops, browsers, and terminals. It does not need you to rewrite your entire stack. It works with the tools you already have. You can run it on your own desktops. You can spin up cloud VMs for parallel execution. You can deploy agent swarms to handle peak volumes when disasters hit. That is what carriers need. They do not need another demo. They need something that works on Monday morning.
Insurance carriers are bleeding money and talent right now. $170 billion is on the table. 83% turnover is untenable. You cannot fix this with more meetings or better HR policies. You need automation that actually works. AI computer use is the only path forward. Most tools are stuck in 2020. Coasty is built for 2026 and beyond. It scores 82% on OSWorld. It handles real workflows. It frees your adjusters to do work that actually matters. Stop accepting broken processes. Start using computer use AI that can actually deliver. Go to coasty.ai and see what real automation looks like.