Election Night Reporting Services

The vendor required to provide election night reporting (ENR) system that provides accurate, timely, and secure election results to the public and stakeholders.
- Gather vendor capabilities and approaches for an ENR system that ensures transparency, security, and scalability.
- Statewide election night results reporting for all contests and precincts
•    Manual processes
•    No document customization
•    No full system control to create standardized work flows across county users
•    No just-in-time training
•    No full access to regression testing during enhancements
•    No full reporting capabilities
•    No scalability
- General needs
1. Identified critical capabilities for this type of solution:
•    Cots (commercial off the shelf) ENR for statewide election night reporting. 
•    SaaS solution 
•    Ability for all fifteen (15) counties to upload their results on election nights. 
•    Ability to work with multiple county level EMS and ENR solutions. 
•    Presidential, congressional, legislative, and statewide races are implemented. 
•    Must be able to report by congressional, legislative, as well as statewide districts. 
•    Name translation – the system allows an election user to map contest names between what the state called a contest and what the jurisdiction called a contest. 
•    Election night support:
o    Needs to support the night after election night up to eleven (11) days after elections. 
o    Needs to have an auto-publishing function for all counties or minimally a granularity of auto-publishing for each of the individual counties. 
o    Display voter turnout.
•    Multiple language support. (English and Spanish)
2. Other capabilities
•    Precinct reporting. 
•    Election management system to include candidate and lobbyist portal integrations. 
•    Display write-in votes and possibly the candidate photo. 
•    A ballot progress page
o    Counties enter approximate number of outstanding ballots (in up to 4 various categories) and with each upload, the numbers are calculated and populates a page section of the website with results.
3. Artificial intelligence capabilities
•    AI utilization and capabilities
o    Any AI technologies or methodologies integrated into your solution.
o    Identify specific use cases (e.g., data validation, fraud detection, intelligent search, predictive analytics).
o    Indicate whether AI is used in real-time decision-making or as a support tool.
•    Security and data protection
o    Explain how AI components interact with sensitive voter data, including personally identifiable information (PII) and protected addresses.
o    Security measures in place to prevent unauthorized access, data leakage, and model exploitation.
•    Compliance, ethics, and transparency
o    AI solution adheres to federal and state regulations governing data use and automated decision-making.
o    Mechanisms for ensuring explain ability of AI outputs to system users and administrators.
o    Outline strategies for bias detection and mitigation, especially in areas affecting eligibility or access.
•    Performance and monitoring
o    Metrics for AI components, including:
1.    Accuracy
2.    Response time
3.    Scalability
4.    AI performance is monitored, validated, and updated over time.
•    Integration and interoperability
o    Any dependencies or third-party services used in delivering AI functionality.