AI POLICY STRATEGY
Policy and stakeholder strategy for AI-enabled products in sensitive settings.
Companies using AI in healthcare, education, and human services are part of a growing public-policy conversation. Jim Bialick helps leadership teams anticipate the questions that public agencies, institutional buyers, advocates, professionals, and families may bring to a launch, partnership, or expansion.
START WITH ONE DECISION
Bring an upcoming product launch, public-sector partnership, or market decision. Jim reviews the policy setting, maps the people and institutions that can affect the decision, and identifies the questions your team should be ready to answer. The first conversation defines the decision, timing, and scope.
For a first engagement, Jim can test the claims and assumptions behind that decision and turn the findings into a short written brief and prioritized next steps. Scope, deliverables, timing, and fee are agreed in writing.
WHAT THE WORK CAN PRODUCE
A clear view of the policy and stakeholder questions most likely to matter.
A map of who needs to be involved or heard before the decision moves forward.
Practical next steps, with owners and questions that need more evidence or specialist review.
WHERE THIS IS MOST USEFUL
AI-enabled services for children and families; patients and people seeking behavioral or mental health support; older adults and disabled people; and people using education, benefits, and human services.
For example, a school-facing AI product might need to address student safety, support for product claims, district purchasing requirements, family concerns, and state policy. Jim would translate those questions into decisions for product, legal, and leadership teams.
WHY JIM
Jim’s AI-policy work builds on a career in health technology, patient safety, and policy for children and families. At Genetic Alliance, he worked on health-information systems and coauthored research on patient registries and biobanks. As co-founder and executive director of the Newborn Coalition, he testified twice before Congress on mobile health technology for newborns, patient safety, interoperability, and risk-based regulation. His later work spans early childhood education, child care, maternal and early childhood mental health, maternal mental health, and paid family and medical leave. He completed paid AI-policy work for the Future of Life Institute.
He brings that experience to companies using AI in healthcare, education, and human services—helping leaders anticipate the questions public agencies, institutional buyers, professionals, advocates, and families will ask, and account for them in decisions about products and growth.
Scope, deliverables, timing, and fees are agreed in writing before work begins.