Outmarket AI adds automated loss run extraction and analysis
Outmarket AI launched expanded loss run capabilities that turn carrier documents into structured claims data, automated reports and client-ready analysis. The release also adds an integration with Loss Run Pro to automate loss run ordering and remove manual processing for insurance agencies.
Why it matters: - Loss runs are a core input for renewals, marketing and risk review, but agencies often spend hours manually re-entering data from carrier PDFs. - Outmarket AI says the new workflow can cut that work to minutes, while improving accuracy and producing a unified view across carriers. - The update could reduce operational friction for brokers and agencies that rely on claims history to make faster client and underwriting decisions.
What happened: - Outmarket AI announced expanded Loss Run capabilities on July 16, 2026. - The platform now automatically converts unstructured carrier loss run documents into standardized claims data and automated reports. - Outmarket AI also added a partnership with Loss Run Pro to automate loss run ordering. - The feature is available in the Risk Management tab of the platform. - The Loss Run Pro integration is available now through an API key connection in the Integrations settings.
The details: - The system accepts loss run documents in any carrier format through drag-and-drop upload. - Outmarket AI’s extraction engine identifies individual claims and converts them into structured data regardless of the original PDF format. - The platform presents each claim in a side-by-side review view with the source document page for verification. - The system compares extracted totals against document-stated totals and flags variances. - Users can ask questions about claims data in plain English through a conversational AI interface. - The platform produces a multi-tab branded Excel export with claims data, line-of-business summaries, open claims lists, claims by year with graphics, incurred by year, and frequency and severity analysis. - Exported reports automatically include the agency’s logo and color scheme. - Agencies can connect a Loss Run Pro API key and set automated ordering rules for 60, 90 or 120 days before renewal. - When carriers deliver the documents, the files sync into Outmarket AI and are processed without manual intervention. - Loss run data from multiple carriers can be combined into a single unified client view for cross-carrier claims analysis and consolidated reporting.
Between the lines: - Outmarket AI is expanding beyond extraction into a broader workflow platform for insurance operations. - The Loss Run Pro integration suggests the company is trying to own more of the end-to-end process, from ordering documents to analysis and reporting. - The pitch is aimed at agencies that want less manual work and faster turnaround on renewal and client deliverables. - Outmarket AI’s release leans heavily on accuracy and standardization, which matters because carrier formats vary widely and often create messy data handoffs. - The partnership also gives Loss Run Pro a way to fit into a larger downstream workflow instead of functioning only as a retrieval tool.
What's next: - Agencies can use the new loss run tools now within Outmarket AI. - More workflows may follow as Outmarket AI continues expanding the platform’s insurance automation capabilities. - The combined setup may become most valuable during renewal cycles, when fast loss run analysis can shape pricing, placement and client recommendations.
The bottom line: - Outmarket AI is trying to turn loss runs from a manual document problem into an automated data workflow, with Loss Run Pro handling ordering and Outmarket handling extraction, analysis and reporting. - More information - More information
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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