Every underwriting team knows its bind ratio. Very few can actually explain it.
When a submission comes in, an underwriter reads it for one purpose: to pull the handful of data points needed to rate the risk and make a decision. Industry code, revenue, location, prior losses - enough to quote. The rest of the submission, often dozens or hundreds of additional fields buried in PDFs, ACORD forms, broker emails, and loss runs, gets skimmed and set aside.
That set-aside data is exactly where the answers live.
Which segments are binding faster this quarter than last? Are you starting to see a new class of risk your guidelines were never written to handle? Is there a combination of characteristics: a geography, an industry, a coverage feature that quietly correlates with a much higher (or much lower) bind rate? Most carriers can't answer these questions. Not because the data isn't there, but because no one has ever read analyzed all of it, across every submission, at once. The carriers who will win are those who stop treating submissions as individual intake events and start treating them as a continuously growing strategic dataset.
Today we're launching Feathery AI Portfolio Submission Analytics to change that.
A different kind of AI
Most AI built for submissions does extraction. You hand it a list of fields, and it goes hunting for them across each document: a needle in a haystack. That's useful for speeding up intake, but it only ever finds what you already told it to look for.
Feathery takes a broader approach. Our AI agent accesses every data point in every submission: not a predefined list — all of it. Then it analyzes those data points across your entire book of historical submissions, looking for patterns in the fields you've never used for rating. The result is a view of your portfolio that simply wasn't possible when submissions were read one at a time, by hand.
In short: we help you understand what you don't know.
How it works
- Ingest and enrich. Feathery ingests your historical submissions, your underwriting guidelines, and your bind outcomes: then connects to third-party data sources to enrich every submission with context it didn't originally carry.
- Analyze everything. Our AI agent accesses every field in every submission, then runs a deep analysis of trends across the common data points spanning your whole book.
- Find the correlations. The agent surfaces relationships between specific data points and your bind ratios, including characteristics that correlate with losses but rarely make it into a rating model. The result is a detailed report that answers the question every underwriting leader is really asking: why are we winning some business and losing the rest? Act on those answers consistently, and you get tighter segmentation, better-priced risks, and fewer accounts slipping through that competitors are quietly mispricing.
- Ask Robin. Want to go deeper? Robin, Feathery’s AI assistant, lets underwriting teams explore submission trends in plain language: by segment, geography, time period, or any combination of factors. Rather than relying on static dashboards, teams can ask follow-up questions dynamically and uncover patterns hidden across their submission data, all without losing context between steps.
- Own your data. We hand back the fully analyzed dataset and export it straight to your existing database or data warehouse: Snowflake, Databricks, or wherever your team works.
Built on 150+ integrations
A submission is only as rich as the context around it. Feathery connects to 150+ systems and data sources: including AMS platforms, general data providers like LexisNexis, and line-of-business-specific sources (like CyberCube & Security Scorecard for cyber). So your analysis isn't limited to what the broker happened to include; it's enriched with the external signals that actually move your loss and bind picture.
"For years the hardest question in underwriting wasn't 'can we rate this?': it was 'why did we win or lose it?' The data to answer that has always been sitting in our submissions; we just never had a way to analyze all of it. Working with Feathery at Hiscox, we were finally able to surface the correlations between submission characteristics and bind outcomes that we'd only ever guessed at. The highest-performing carriers will treat submissions as a continuously growing intelligence asset that drives underwriting profitability, growth, broker relationships, product innovation, and AI-enabled operations. That is where the largest long-term competitive advantage is likely to emerge. Any carrier serious about turning its submissions into a strategic dataset should solving this."
Brian Kleber, former Head of Data , Hiscox and Farmers Insurance
A report in days, not quarters
AI Submission Analytics is a standalone product: there's nothing to rip and replace to start using it. We can turn around your first report in just a couple of days. And because the insight should speak for itself, we offer a free proof of concept on a limited set of your submissions, so you can see the trends in your own book before you commit to anything.
Stop guessing why you're losing
The answers are already in your submissions. Let us show you.
Book a demo or explore the product and ask about a free proof of concept on your own data.
