One catalog to manage 10,000-plus coverage forms through every release cycle
A property and casualty insurance carrier replaced twice-weekly manual Excel exports and disconnected monthly base copies with a single Airtable catalog that tracks every commercial lines coverage form, deductible, limit, and business rule from authoring through export to the underwriting system. Product owners and business analysts use export-readiness views to coordinate release timing, while an API-driven integration delivers JSON directly to the downstream data store for live consumption.
The problem
The product management team maintained commercial lines coverage forms, deductibles, limits, and business rules across a set of duplicated monthly bases, one copy per release cycle. Each month, coordinators duplicated the prior base to start the next release, losing revision history, automations, and linked record configurations in the process. Twice-weekly exports to the underwriting system required manual CSV formatting to preserve leading zeros, escape special characters, and satisfy the downstream schema, consuming hours of coordinator time each week and producing fragile outputs that failed when field IDs shifted across base copies.
Read-only stakeholders, including underwriters and compliance reviewers, had no way to filter or sort catalog records without being granted editing permissions they did not need. Coverage form criteria with missing subscriber codes had to be identified and patched manually, one record at a time, with no automation to surface gaps or apply bulk corrections across the tens of thousands of rows that accumulated as the catalog grew from roughly 200 entries toward its target of 11,000-plus records.
What they built
The team consolidated all commercial lines coverage forms into a single persistent Airtable base that spans every release cycle. Business coordinators configure release criteria and use dedicated export-readiness views to identify which records are ready to publish before each release window opens. Checkbox-triggered automations backfill missing subscriber criterion codes at scale, replacing one-at-a-time manual patching with a bulk correction that runs against tens of thousands of records. Version control now persists across releases because the base is never duplicated, preserving automations, linked records, and revision history.
An API-driven integration replaced the twice-weekly manual CSV export. Airtable now delivers JSON directly to the downstream data store, eliminating the formatting step that caused CSV errors on leading zeros and special characters. Role-based interfaces give read-only stakeholders, including underwriters and compliance reviewers, filtered access to the records relevant to their review without granting editing permissions. Multi-release coordination across dev, QA, and production environments runs from the same base, with views and automations scoped to the appropriate release stage.
The outcome
The carrier eliminated the hours of manual CSV cleanup that consumed coordinator time each week. Coverage form records that previously had to be patched individually can now be corrected in bulk through automation, and the catalog has grown from roughly 200 entries to more than 7,000 records, with a path to its 11,000-plus target. Integration failures caused by CSV formatting errors, shifting field IDs, and unstable schema references across duplicate bases have been removed from the release process.
Product owners and business analysts work from a single base that retains its full automation and linked-record configuration across every monthly release cycle. Underwriters and compliance reviewers access filtered views through purpose-built interfaces rather than requesting editing permissions. The API-driven delivery path to the downstream data store provides a reliable, repeatable export that the team no longer has to prepare by hand before each release window.
Inside the solution
Commercial Lines Product Catalog and Release Management
Product and Roadmap Management
Product and Engineering
- Coverage form versioning and catalog record management across dev, QA, and production
- Export-readiness tracking using status-based views before each release window
- Bulk backfill of missing subscriber criterion codes via checkbox-triggered automation
- API-driven JSON delivery to the downstream data store, replacing manual CSV exports
- Multi-release coordination across overlapping monthly release cycles in one persistent base
- Twice-weekly manual CSV exports consuming hours of coordinator time per week
- Base duplication each month causing loss of revision history, automations, and linked records
- CSV formatting errors on leading zeros and special characters breaking downstream integrations
- Fragile schema parsing when field IDs shifted across duplicated monthly base copies
- No bulk mechanism to identify and patch missing subscriber criterion codes at scale
- Read-only stakeholders unable to filter or sort records without editing permissions
- Eliminated manual CSV preparation and the formatting errors that caused integration failures
- Bulk automation replacing one-at-a-time manual patching across tens of thousands of records
- Persistent single-base architecture preserving automations and revision history across releases
- Role-based interfaces giving read-only stakeholders filtered access without editing permissions
- Product Management
- IT
- Business Analysts
- Underwriting
- Commercial Lines
- Development
- MongoDB
- Excel
Commercial Insurance Product Catalog & Release Management
Track every commercial lines coverage form, deductible, limit and business rule in one persistent base, and run overlapping dev, QA and production release cycles from export-readiness views instead of duplicating a base each month. Checkbox-triggered automations backfill missing subscriber criterion codes in bulk, a weekly digest flags what is still blocking the release window, and AI columns draft release notes, triage reviewer requests and diagnose failed API deliveries.
How the product catalog and release workflow runs end to end
Author and maintain coverage form records in one base
Track export readiness with status-based views
Backfill missing criteria codes with checkbox-triggered automation
Deliver JSON to the downstream data store via API
Coordinate overlapping releases across environments
FAQ
Frequently asked questions
Each time a base was duplicated to start a new monthly release, Airtable automations, linked records, and revision history were not carried over. Coordinators had to rebuild those configurations from scratch, and any record patching done in the prior base was not visible in the new copy. The single-base architecture eliminates this by keeping all releases in one persistent base.
Coverage form records move through a set of status values as they are authored and reviewed. A dedicated view filters the catalog to show only the records that have reached the ready-to-export status, giving product owners and business analysts a clear list of what is cleared for the upcoming release window without searching through the full catalog.
Before automation, coordinators identified coverage form records missing subscriber criterion codes and patched them one at a time. The checkbox trigger fires an automation that applies the correction across all qualifying records in a single operation, which is the only practical approach as the catalog grows toward 11,000-plus entries.
The prior process required coordinators to export a CSV, manually adjust formatting to preserve leading zeros and escape special characters, and transmit the file twice weekly. The API integration delivers JSON directly from Airtable to the downstream data store on a scheduled basis, removing the manual formatting step and the class of errors it produced.
Role-based Airtable interfaces give underwriters and compliance reviewers a filtered view of the records and fields relevant to their role. They can sort and filter within their interface without touching the underlying base configuration or gaining the ability to modify records. Access is scoped by interface, not by base-level permissions.