As Rohan said yesterday, benefits data lives in messy, unstructured documents. SPDs, plan guides, formularies, carrier contracts, flyers. Every format, every carrier, every plan year.
The industry's answer has been big structured databases.
But now AI is unlocking an entirely new approach.
Avante is natively built for this new reality.
Instead of forcing all that data into rigid structures, we built an AI-native ingestion pipeline that reads and understands these documents directly, specifically for benefits. It handles the stuff that breaks general-purpose AI:
- 200-row formulary tables with merged cells
- Footnotes that change the meaning of a row
- Images embedded in PDFs.
Our pipeline was purpose-built for this.
This is patent-pending technology, and without this, AI cannot give accurate and comprehensive answers about employee benefits.
That pipeline is built for depth and comprehensiveness. But we also know that HR leaders have a different workflow. You just got a utilization report from Headspace. Your broker sent over a renewal analysis. The CFO wants last quarter's numbers reproduced.
You don't need that document ingested into the full platform. You need to work with it right now.
So now, Ava can take in a PDF, a spreadsheet, a CSV, and reason on it interactively, using all the context and intelligence the platform already has.
Drop it in, ask your questions, get answers that are informed by everything Avante knows about your program.
That’s what allows Avante to turn your content into a complete foundation for employee guidance and HR insight.
Tomorrow Emily will talk about context: the data, the systems, and the institutional knowledge that make Avante truly yours.
.svg){kind=logo}
.svg){kind=logo}
.svg){kind=logo}
.svg){kind=logo}
.svg)
