Meet Trianz at AWS re:Invent 2025 Register Now
Transforming Premium Processing with Agentic AI
Client
A leading mutual life insurance organization headquartered in the United States manages a complex network of premium processing activities that span multiple business lines, policy types, and data management systems.
Over the years, the company’s premium processing function had evolved into a mix of legacy SQL servers, modern cloud databases, and numerous flat-file systems—creating a fragmented operational landscape. Managing and reconciling premium data across these disparate environments required intensive human intervention, manual reviews, and multi-step validations, impacting efficiency and scalability.
Business Challenge
The client’s premium processing workflows had become a major operational bottleneck. The process involved 17 manual, interdependent steps — from document verification and policy data validation to payment matching and reconciliation. Each stage required human review or input, resulting in repetitive and time-consuming validation cycles.
The challenges included:
- Weeks-long turnaround times for premium settlements and reconciliations.
- Compliance risks, with errors and delays affecting regulatory adherence and audit readiness.
- Data silos emerging across multiple systems—SQL servers, cloud databases, and local storage—impeding visibility and collaboration.
- A lack of real-time oversight, forcing teams to rely on retrospective checks rather than proactive governance.
As a result, the client faced high operational costs, inconsistent processing accuracy, and limited scalability—challenges that became increasingly critical as transaction volumes expanded and regulatory expectations intensified.
Approach
To address these challenges, Trianz deployed its Concierto Insights agentic AI platform, designed to replace manual, sequential operations with intelligent, autonomous processes.
The solution involved:
- Specialized agentic modules for document validation, payment verification, and intelligent routing, each designed to independently interpret, validate, and process data according to predefined rules and policies.
- Integration across legacy SQL systems and modern cloud databases, allowing for seamless data flow, automated reconciliation, and continuous updates.
- Implementation of a governance-by-design architecture that embedded compliance controls, audit trails, and regulatory guardrails directly into the processing workflow.
- Real-time monitoring and reporting capabilities, enabling stakeholders to track every stage of the premium lifecycle and intervene only when exceptions arose.
This agentic model transformed the end-to-end workflow from a linear, human-dependent process into a self-optimizing system capable of executing tasks autonomously while maintaining full regulatory compliance and traceability.
Technology Components
AWS Services
Monitoring
Data Integration
ETL
Project Management
Transformational Effects
Automation levels
Manual errors declined by
annual labor savings
processing
The implementation of the Concierto Insights agentic AI platform delivered tangible and sustained improvements across multiple dimensions of the client’s operations:
- Processing time was reduced from weeks to days, allowing the insurer to close premium cycles faster and respond to customer and partner needs in near-real time.
- Automation levels reached 72% of workflows, significantly reducing manual effort and freeing skilled staff to focus on exception handling and strategic tasks.
- Manual errors declined by 60%, resulting in cleaner data, higher accuracy in financial reporting, and improved confidence among audit and compliance teams.
- The client realized an estimated $2–3 million in annual labor savings, driven by reduced dependency on manual verification and oversight.
- Operational scalability was enhanced, with systems now capable of 24/7 processing under minimal human supervision.
- The organization achieved greater consistency in compliance adherence, with governance mechanisms now embedded at every step of the workflow.
Through this transformation, the client successfully transitioned from a fragmented, manual operational model to an autonomous, agentic processing ecosystem—one that delivers agility, accuracy, and resilience in a highly regulated insurance environment.
Ready to Transform Your Data Platform?
Let's discuss how we can help you build a modern data architecture that drives business value