The Vendor is required to provide generative artificial intelligence (GenAI) solutions can help identify root causes, recommend corrective actions, automate resolution pathways, and prioritize high-impact cases for rapid refund processing.
- Solution capabilities
• Analyze suspended payment inventory in near real-time
• Categorize and cluster payment by root cause
• Recommend corrective actions to apply or refund payments
• Identify payments eligible for immediate refund fast-tracking
• Predict aging risk and interest exposure
• Reduce manual case handling time
• Continuously monitor and re-evaluate suspended payments based on changing taxpayer circumstances, system updates, and legal or compliance events
• Provide audit-ready documentation of AI recommendations
• Operate securely withing state compliance framework
- Core functionality capabilities
• Ingest structured financial transaction data
• Analyze unstructured case notes and taxpayer correspondence
• Detect patterns across large volumes of suspense inventory
• Identify systemic drivers vs. one-off exceptions
• Recommend viable payment resolution such as application, offset, refund or additional taxpayer outreach
• Generate case-level rationale for each recommendation
• Provide confidence scoring with detailed scoring criteria
• Flag high=dollar or interest-sensitive cases for priority handling
- Additional functionality:
• Use natural language processing to interpret remittance descriptions
• Identify duplicate of misapplied payments
• Detect data entry anomalies
• Cross-reference return filings with payment records
• Learn from historical resolution outcomes
- Refund acceleration and fast track capabilities
• The system identifies payments eligible for refunds
• Ability to auto-generate refund justification documentation
• Integration with refund issuance systems
• Workflow automation for low-risk refund cases
• Risk scoring to prevent improper refunds
• Fraud and anomaly detection safeguards
- Technical architecture
• Deployment model
• Compatibility with approved environments
• API integration capabilities
• Bath and real-time processing options
• Data ingestion mechanisms
• Model hosting architecture
• Scalability for high transaction volumes
- Responsible AI and governance
• Explain AI outputs
• How hallucinations are prevented or mitigated
• Human-in-the-loop review controls
• Audit logs and traceability
• Bias detection and fairness safeguards
• Model validation processes
• Change management and version control
• Oversight dashboards for compliance monitoring.
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