Payment Accuracy Innovation Effort Services

The vendor is required to provide payment accuracy innovation effort services to sustainable improvements that can adapt to policy changes and will persist despite workforce turnover.  
1. Early-warning analytics:
•    Implement tools and services that enable early detection of high-risk cases and systemic errors.
•    Use recent case activity, caper, and qc results to provide near- or real-time identification of where payment errors are likely to occur. 
2. Dashboards: 
•    Develop actionable dashboards and analytics for continuous monitoring and course correction in near- or real-time.
•    Design a configurable interface that visualizes per trends and highlights top error drivers.
•    Link data and findings to targeted recommendations for addressing common error types.
3. Pre-issuance quality controls: 
•    Automatically route or flag the riskiest 10% of cases for mandatory supervisory or secondary review. 
•    Support risk-based secondary review, risk-based prompts, pre-issuance checks, and predictive error modeling to proactively improve case accuracy.
4. Interview and decision support:
•    Equip workers with decision-support tools and real-time prompts.
•    Integrate policy chatbots to support informed and effective decision making.
•    Provide guided scripts for workers that prompt key questions, flag missing documents, and link directly to relevant guidance.
5. Client-centered communication tools: 
•    Provide mobile-friendly tools for document submission, automated reminders, and real-time status updates.
•    Leverage ai-powered interview tools to pre-screen and collect information before human interaction.
•    Implement communication options such as text and email to engage clients and reduce delays or errors.
•    Incorporate behavioral prompts during the application process to reduce client-driven errors.
6. Verification and data matching: 
•    Implement secure, automated data exchanges to verify or match information such as wages, unemployment status, child support, SSA and SSI benefits, and landlord verification.
7. Document capture: 
•    Use optical optical character recognition (OCR) or ai to provide validation prompts and ensure completeness of submitted information.
•    Analyze unstructured data to extract insights and identify possible errors or missing information.
•    Pre-populate data fields to streamline the application process in common help and support validation and data collection in system.
8. Workflow analysis:
•    Identify workflows that cause bottlenecks, frequent errors, or unnecessary handoffs and provide recommendations to improve performance.
•    Use data from system or rush more to improve workflow management and highlight opportunities for training and process improvement.
•    Review and revise the snap manual to strengthen search functionality and incorporate feedback from departments.
9. Change management: 
•    Develop and deliver training, micro-learning, checklists, videos, or job aids to help reduce snap per, targeting either workers, citizens, or both.
•    Enable knowledge-sharing across all 120 departments to promote consistency and continuous improvement.

- Questions/Inquires Deadline: October 24, 2025