Origami Risk has introduced new Insurance Program Management capabilities within its Risk Management Information System (RMIS) solution, bringing together policy data ingestion, renewal workflows, quote tracking, endorsement management, and analytics in a single platform. The Chicago-based SaaS company made the features available immediately, aiming to replace the spreadsheets, PDFs, and broker emails that still dominate insurance program operations.
Insurance program management often forces risk teams to toggle between disconnected tools, with critical policy details locked in unstructured documents. Origami Risk said the new capabilities provide a connected, data-driven system of record that reduces manual effort and improves visibility across the insurance lifecycle.
"Risk teams are skilled at managing complex insurance programs. Unfortunately, the same can't be said about the tools they often rely on. As a result, critical data ends up fragmented across spreadsheets and systems that were not designed to work together," said Peter Richard, Director of Product Management at Origami Risk. "Insurance Program Management unifies policy data, renewal workflows, and analytics in one platform so teams can focus on strategy and decisions rather than chasing down information."
Key features
The new capabilities include:
- AI-powered policy data ingestion - Extracts structured data from policy documents, cutting administrative work and improving data quality.
- Insurance portfolio landing page - Centralized dashboards with KPI visualizations and drill-down analytics, giving teams a quick view of program performance.
- Insurance placement management - A single workspace for managing renewals and placements, including tasks, documents, and communications.
- Quote tracking and comparisons - Side-by-side quote evaluation, retention of historical quotes, and clearer visibility into the renewal process.
- Endorsement tracking - Structured management of mid-term policy changes with financial and operational impact tracking.
The offering connects these workflows directly inside the RMIS platform, so risk teams no longer need to export data to external tools for analysis or reporting. Program-level analytics and dashboards draw from the same policy data that is ingested and maintained within the system.
More details on the capabilities are available on Origami Risk's website.
Why this matters for insurance professionals
For risk and insurance professionals, shrinking the time spent on data entry and document hunting can redirect effort toward better coverage analysis and strategic decisions. AI-driven policy ingestion turns PDFs into structured datasets in minutes rather than hours, while quote tracking and placement management help teams compare options without losing historical context. As AI becomes more embedded in insurance operations, targeted learning in AI for insurance can help professionals put these tools to work more effectively. Centralized data also supports stronger audit trails and more accurate reporting, reducing the risk of errors during renewals or claims processes.
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