In partnership with the State of Maryland, Nava Labs is creating, testing, and piloting an AI-powered service to modernize and automate critical aspects of work requirement verification to help states comply with recent federal H.R. 1 legislation.
Maryland residents will benefit from automated document verification, which can flag document upload errors earlier — resulting in faster benefit determinations for the Supplemental Nutrition Assistance Program (SNAP). Automated document verification also reduces time caseworkers might spend validating or correcting documents, allowing them to focus on strategic tasks.
The project will prevent wrongful benefit terminations, lower the compliance load on Maryland residents, significantly reduce manual workload and administrative burden for caseworkers, and drastically improve data accuracy.
Over the past couple months, our team has been busy with stakeholder and user research, system architecture discussions, prototyping, concept testing, and more.
In this virtual demo day, we’ll cover:
Project overview
Early findings from stakeholder and user research
Prototypes
Our roadmap for what’s next
This partnership is supported and funded by the Center for Civic Futures’ Public Benefit Innovation Fund and has a national advisory partnership with the American Public Human Services Association and Social Finance.
