Carrier Integration Framework

Context

Thousands of employees move through our benefits platform: entering their information, shopping the marketplace, and submitting applications for medical coverage.

The Problem

Submitted applications were routed to a queue where a data entry specialist would identify the carrier, log into that carrier’s portal, and manually re-key the employee’s information.

This process created several problems:

• Slow turnaround times. Employees waited days for applications to be officially submitted.
• No scalability. Employees waited days for their coverage to be officially submitted.
• Human error. Manual re-entry meant typos, missed fields, and rejected applications.

The volume is predictable, the work is repetitive, and the cost of errors is high, which makes it exactly the kind of problem worth solving with code.

The Build

A few decisions worth highlighting:

Carrier adapter pattern. I built a common submission interface with carrier-specific adapters underneath. Each adapter handled that carrier’s auth, payload format, and quirks. Adding the next carrier became a matter of writing one adapter, not refactoring the whole pipeline.

Field mapping per carrier. Every carrier wanted the same data shaped differently — date formats, dependent structures, required vs. optional fields, even how they encoded plan IDs. I built a mapping layer so our internal application data could be transformed into whatever shape each carrier expected.

Validation before submission. Carriers reject applications for inconsistent reasons (missing SSN format, dependent age cutoffs, address validation, etc.). I added pre-submission validation that caught these issues before hitting the carrier’s API, so we could surface problems immediately instead of waiting for a rejection days later.

Error handling and retries. Carrier APIs go down, time out, or return cryptic errors. I built retry logic for transient failures and a clear escalation path for true rejections, so the Enrollment Services team only got involved when human judgment was actually needed.

The Outcome

• ~40% of applications fully automated, and growing as we add new carriers.
• Fewer rejected applications, thanks to upfront validation catching issues at submission time.
• Faster employee coverage confirmation, submissions now go out in seconds.
• Reduced data entry workload, freeing the team to focus apps that required manual handling and on edge cases that genuinely needed a human.