LogoInsurAItools
  • Reviews
  • Free Tools
  • Solutions
  • Categories
  • Compare
  • Glossary
  • Blog
  • Pricing
LogoInsurAItools
← Back to Glossary

Straight-Through Processing (STP)

STP is the automated handling of a transaction

technicalPublished 2026/06/05

FAQs

What is a good STP rate?
It varies by line and transaction type; the meaningful question is accuracy at the automation boundary, not the rate alone — high STP with errors is worse than moderate STP done well.
Does STP mean no humans at all?
No. Well-designed STP automates routine high-confidence cases and routes ambiguous or high-stakes ones to humans — the human-in-the-loop boundary is the key design choice.

Related Terms

  • First Notice of Loss (FNOL)

    FNOL is the initial report a policyholder makes to an insurer when a loss or accident occurs

  • Claims Triage

    The automated sorting of incoming claims by complexity, severity, or risk — routing simple claims to fast-track or straight-through processing and complex on.

  • Predictive Underwriting

    Predictive underwriting uses machine learning on historical and external data to forecast a risk's likely loss outcome, helping underwriters price and select

Related Items

  • Guidewire ClaimCenter

    Enterprise P&C claims platform — the carrier-scale industry standard

  • Five Sigma

    AI claims management with adjuster decision support

  • Zowie

    Deterministic Decision Engine for CS

LogoInsurAItools

Independent AI tool reviews for insurance agents and brokers

Product
  • Reviews
  • Free Tools
  • Solutions
  • Categories
  • Compare
Resources
  • Glossary
  • Blog
  • Pricing
  • Search
  • Collection
  • Tag
Company
  • About Us
  • Privacy Policy
  • Terms of Service
  • Sitemap
Copyright © 2026 All Rights Reserved.

Straight-Through Processing (STP) describes a transaction that flows from initiation to completion entirely through automation, with no human touch. In insurance, STP applies across the lifecycle: a quote generated and bound automatically, a policy issued without underwriter review, or a simple claim paid without an adjuster.

STP is both a capability and a metric. Carriers track their STP rate — the percentage of transactions handled fully automatically — as a measure of operational efficiency. A higher STP rate means lower cost per transaction and faster service, but only if accuracy holds; automating a bad decision at scale is worse than a slow good one.

The key concept is the human-in-the-loop boundary. Well-designed STP handles the routine, high-confidence cases automatically and routes the ambiguous, high-stakes, or low-confidence cases to humans. The art is calibrating that boundary: too conservative and you lose efficiency, too aggressive and errors leak through.

AI dramatically expands what's eligible for STP. Where rules engines could only automate clearly-defined cases, machine learning can assess messier inputs — extracting data from documents, scoring risk, detecting fraud — pushing more transactions into the straight-through path. For agents and carriers evaluating tools, the relevant question isn't just 'does it support STP' but 'what's the accuracy at the STP boundary, and how is the human handoff designed.'