Modernize one of underwriting's most manual workflows. Normalize carrier data, reduce review time, and make faster, more consistent decisions. Built for carriers, MGAs, and brokers reducing manual review time.
Loss run analysis isn't just inefficient, it's inconsistent. The real bottleneck happens before any underwriting judgment takes place.
Carrier reports arrive in different layouts and claim structures.
Teams manually clean and reconcile data into spreadsheets for every submission.
On average, 1–3 hours can be spent reviewing a single complex submission.
See how Decisions transforms messy loss run data into faster, more consistent underwriting decisions.
Upload carrier PDFs, spreadsheets, exported reports, or API feeds. Reduce time gathering documents, accept mixed source formats, and start reviews faster.
Dramatic reduction in manual data processing
Accelerate time from submission to decision
Handle increased volume without adding staff
A commercial insurance underwriting organization was managing growing submission volume, spending several hours on complex accounts to extract, normalize, and summarize data before any actual underwriting judgment could happen.
After implementing AI-assisted loss run automation with Decisions, they achieved:
We don't just analyze risk — we operationalize it.
Surface the data, but leave interpretation and follow-up to the underwriter.
Built for the step every other tool skips: turning standardized data into a governed, repeatable decision.
Decisions supports a wide range of loss run formats including carrier PDFs, Excel spreadsheets, bordereaux-style documents, and mixed format packages. Our extraction engine adapts to carrier-specific layouts and handles the inconsistencies common across different insurers.
Our extraction engine provides confidence scoring for each data point, allowing underwriters to focus review time on lower-confidence extractions. We incorporate validation rules, exception handling, and human review workflows to ensure data quality.
See how Decisions can reduce review time and improve underwriting speed.
Different reviewers reach different conclusions from the same loss history data.
Consistent decisions across all reviewers
Move beyond error-prone manual tracking
Complete visibility into decision rationale
Yes. Human-in-the-loop review is a core design principle. Underwriters can review, validate, and correct extracted data through configurable review queues before it flows downstream. You maintain full control over what gets approved and how exceptions are handled.
Yes. Our normalization engine standardizes data across inconsistent carrier formats into a unified schema. Whether you receive loss runs from 5 carriers or 50, Decisions transforms them into consistent, comparable data structures for analysis.
Documents with low extraction confidence, missing fields, or unclear formatting are automatically routed to validation queues for manual review. Configurable escalation workflows ensure exceptions reach the right team members, so that they’re not processed without appropriate oversight.
Yes. Decisions provides APIs and workflow integrations to connect with your existing policy administration systems, underwriting workbenches, and downstream data repositories. We're designed to fit into your ecosystem, not require you to rebuild around us.
Yes. Decisions supports submission tracking and intake orchestration for broker-submitted loss runs. You gain visibility into what's been received, what's in progress, and what's ready for underwriting review — reducing the back-and-forth that slows down the submission process.
