Built Around Your Book

Your rules.
Your definition of complete.

"Complete" means something different at every firm. Quixas encodes what your operation already knows a good claim needs, so the check is yours, not an off-the-shelf one.

Why Tailoring Matters

A Florida wind/hail TPA and a Texas hail shop do not define "complete" the same way.

A generic completeness checker applies one rigid template to every incoming file. It misses region-specific required evidence or flags false exceptions that do not apply to your workflow. It is wrong for almost everyone, because it never captures the local parameters of your business.

The valuable, hard part of claims processing is knowing what "complete" actually means for a firm's perils, region, and downstream workflow. That domain definition, encoded as explicit, inspectable rulesets, is exactly what Quixas tailors around your book.

What We Tailor

Four things we build around your operation.

your_book.config
Active book
Customization Layer · Your Completeness Rules

Defining "complete" for your active book.

  • Set minimum photographic evidence requirements (for example, four close-up roof facets).
  • Configure mandatory field conditions tuned to your specific book and peril requirements.
  • Fully explicit, inspectable checks. Zero black-box guesswork.
What this rule checks
Wind & hail completeness Active
  • Requires the attic underside dry-in photo
  • Loss date falls within the policy effective term
  • Claim is matched to an active policy

Deterministic. We draft it from your sample claims, no syntax for you to write.

Why It Is Trustworthy

Rules you can inspect, not a black box.

The completeness rules that block or pass a claim are entirely deterministic and inspectable. Every flag traces back to an explicit requirement in your database.

Document-intelligence handles the heavy formatting work of reading unstructured files and confirming which required photos are present, but the definition of "complete" is always governed by your encoded ruleset, never an opaque model guess. For a regulated operation, inspectable rules are the only output you can trust.

How We Build Yours

We learn your standard from your claims, not a questionnaire.

We analyze samples of your historically complete and incomplete claims, reverse-engineer the patterns your best adjusters already follow, and draft the completeness schema for you to refine, test, and approve.

Step 01

Submit samples

Provide historic files showing complete and incomplete claim folders.

Step 02

Schema drafted

Our engine extracts and compiles the operational ruleset matching your book.

Step 03

Interactive audit

Test and tweak the rule definition in our playground, then activate your gate.

Tailored Deployment

Let us encode your definition of complete.

Schedule a briefing to see how your historic claims database can define your automated completeness gate.

Built on SOC 2 Type II certified infrastructure