Everyone’s sick of AI-washing.
It’s pretty much guaranteed that most companies today are using AI in some way, but there’s still a lot of ambiguity to the how and the why of AI usage… and it can get a little confusing. Most companies claim to use AI, but few explain how and why they use it in ways that actually matter.
Further, in highly regulated industries like insurance, the how and the why are incredibly important… As is the certainty that data used for AI functions is truly secure and not at risk for AI model leaks, bias, or other dangerous things that can result from careless AI use.
Forever helping ambitious insurers get ahead, we wanted to carefully and securely implement AI operations that would make an actual difference for insurers, and today we’re sharing what that looks like.
While our innovations are always evolving, we wanted to show both our customers and those interested in using EIS the all-important how and why we use AI in our platform.
But First: Security. ISO 42001 & Why it Matters
Recently, EIS completed ISO 42001 compliance for AI management systems (AIMS).
ISO 42001 is the first international, certifiable standard for AI management systems. It provides a framework to implement ethical, secure, and transparent AI, while continually improving risk management and compliance.
Being compliant with this certification means the organization (EIS) is responsibly harnessing AI’s potential while managing risks, ensuring compliance, and generating user trust in their systems.
An Introduction: How EIS Utilizes AI for Better Insurance Operations
EIS isn’t just keeping pace with AI capabilities in insurance, we’re leading the pack and reshaping how insurance can use it for better operations. We focus our overall AI strategy in three key areas:
- Boosting internal productivity so we can work faster and smarter for our customers
- Empowering customers and partners to make operations simpler and growth easier
- Embedding smart tools into EIS OneSuite to drive innovation for insurers
AI in Tooling
The EIS AI-powered hub gives insurance teams something they’ve needed for a long time: one place to get answers, set up products, and integrate APIs, without chasing documentation or manually piecing everything together. Developers and business users stop wasting hours hunting for the right endpoint or trying to decode product rules. Instead, they get guided help that shows them exactly what to do and why.
The result is less back-and-forth, fewer mistakes, and weeks shaved off implementation timelines.
AI-Powered Tooling for P&C Insurers
AI – Powered Tooling for Group Benefits Insurers
AI in Quote Generation
By automating the analysis of incoming documents and unstructured data, the system extracts key information, matches it to standardized terms, and generates accurate, competitive outputs—whether for quoting, enrollment, or billing configuration. Advanced AI components reduce manual effort, improve data consistency, and accelerate processing times across functions.
With seamless integration into existing systems, the solution enhances accuracy, speeds up turnaround, and enables insurers to respond to market demands with greater agility and efficiency.
AI-Powered Quoting for P&C Insurers
AI – Powered Quoting for Group Benefits Insurers
AI in Claims
EIS AI-powered claims automation delivers faster, smarter, and more consistent outcomes across every line of business. From first notice to final payout, EIS uses conversational AI, automated decisioning, and real-time fraud detection to take the manual drag out of claims. Policyholders and members can file claims, check coverage, upload documentation, and get instant updates through AI chatbots.
On the backend, EIS handles intake, validates data, suggests next steps, and flags suspicious activity without slowing down legitimate claims. This results in faster resolutions, lower costs, and better experiences at scale.
AI-Powered Claims for P&C Insurers
AI – Powered Claims for Group Benefits Insurers
Not Every Insurance Core System Can Offer This
Rather than chasing shiny AI headlines, EIS is solving real problems for real insurers that are risk-aware, results-driven, and ready to innovate.
Every use case above reflects the sampe principle: AI should do something meaningful, and not just exist as a checkbox.
Most core systems weren’t built to support embedded, operational AI at scale, and that limits what insurers can achieve. They’re locked into outdated modes of operation, so AI will only be able to take them so far.
So… if your core platform can’t deliver what you’ve seen here, ask yourself: why are you still using it?
(And if you’re curious about AI on a platform built for the future — not the past — of insurance, you know where to find us.)
