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InsuranceAI implementation case study
Insurance – Group Benefits MGA: Enrollment & Eligibility AI
AI for census ingestion, eligibility verification, QLE processing, and carrier834 reconciliation.
This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.
Key takeaway
PrimeAxiom automated group benefits administration with AI agents handling data, eligibility, and carrier file integrity.
The engagement
From operational friction to a connected AI system
01 · Context
Business overview
Industry: group benefits MGA. Complexity: employer churn, QLE volume.
02 · Challenge
Core problem
Manual census, QLE backlog, EDI errors.
03 · Approach
Solution
PrimeAxiom built benefits AI: census parsing agents, eligibility verification bots, QLE workflow automation, and 834 generate/compare agents with exception queues.
04 · Impact
Results
Enrollment error rate −74%; QLE turnaround −52%; carrier rejection rate −68%; broker support tickets −44%.
System design
The full automation system
The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.
Census Agent, Eligibility Agent, QLE Agent, EDI Agent.
Workflow
How the automation runs
1. Census upload.
2. AI normalizes rows.
3. Eligibility checks.
4. QLE events routed.
5. 834 generated.
6. Compare ACK/ERR.
7. Fix loops.
Intelligence layer
AI agents and decision logic
Parse Agent, Rules Agent, Reconciliation Agent.
Under the hood
Technical architecture
HIPAA-aligned, EDI expertise, LLM for messy spreadsheets.
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