Generative AI is changing the insurance game. It speeds up slow processes, prices risks better, and detects fraud more easily. Generative AI for insurance may seem really complex, but it does have its limitations since it requires good DevOps teams and properly configured cloud servers to reduce operating expenses.
At Dedicatted, we combine the power of generative AI with the speed of DevOps to make it easy for you to take advantage of AI and integrate it with your existing tools and workflows. Tired of wasting weeks on software updates? We automate releases using tools such as GitOps. Got legacy systems that don’t really work well? Leave it to us and we’ll transfer them to modern auto-scaling servers.
Combining generative AI and insurance shortens the time it takes to launch new products by 21%, helping you beat the competition and automate boring stuff. Want faster claims, less fraud, and happy customers? Let’s create solutions that use today’s tech to solve tomorrow’s problems.
The global insurance market has to find ways to reduce costs while making sure that their customers are happy in the digital age. Luckily for them, there are things like document processing, conversational underwriting, and predictive pricing that can help carriers do more with less, without hiring more employees.
Insurance companies always ask “Where do we start?” Our consultants match high-impact use cases with your current data maturity, starting with real-time FNOL triage and moving onto automated policy endorsements. By embedding LLM-powered copilots directly into your core systems, we can fully eliminate swivel-chair work and drastically reduce average handling time.
Gen AI also improves the actuarial decision-making process. Using data models and algorithms, actuaries are now better able to predict extremely rare events. Because of this, companies are now able to protect themselves and produce regulatory reports at a faster rate.
Generative AI Use Cases in Health Insurance
The world of health payers is changing faster than ever due to an increase in the volume of claims and the changing regulations. Our collection of generative AI use cases in health insurance makes it easier to summarize prior authorizations, automate medical necessity checks, and help with ICD-10 coding. These things work well with HL7/FHIR APIs to make sure that patient information is kept private while speeding up decision-making by 40%.
Apart from the claims services, health insurance providers use service chatbots, provide personalised wellness advice, and risk score improvement. The DevOps driven set-up that they use provides frequent builds, safe deployments, and continuous monitoring.