Establish the guardrails before scaling AI.
A responsible AI program requires more than downloading a generic policy template.
Government organizations need AI guidance that reflects their workforce, professional responsibilities, technology environment, data requirements, organizational culture, public accountability, and level of risk.
 
The AI Workhorse™ Public Sector AI Policy & Governance Workshop is a facilitated working session that helps organizational leaders and key stakeholders develop practical expectations for responsible AI use.
 
Using a structured Creative Problem Solving process, we facilitate the conversation so your team can identify risks, examine competing needs, establish organizational expectations, and develop an AI policy framework that reflects how your organization actually operates.
 
Policy and governance topics may include:
Approved and prohibited AI uses
Approved AI platforms and technologies
Confidential, sensitive, personal, and regulated information
Data handling and privacy expectations
Human review and verification requirements
Accuracy and source-verification standards
Professional judgment and decision-making
Transparency and disclosure expectations
Employee responsibilities when using AI
Leadership and supervisory responsibilities
Governance roles and policy ownership
Accountability for AI-supported work
Procedures for reporting concerns or inappropriate use
Policy review and update procedures
Employee education and implementation planning
 
Depending on the organization's needs, the engagement may also include stakeholder discovery, policy benchmarking, facilitated leadership sessions, employee feedback, draft policy development, implementation guidance, and workforce training recommendations.
 
Ideal for: Cities, counties, special districts, educational institutions, public authorities, and other government organizations that need to establish or strengthen responsible AI governance.
 
The result is more than a document sitting on a shared drive. The objective is to create shared organizational expectations for how AI will be used, reviewed, governed, and continuously improved.