PRC Impact treats training as a governance lever, not a workshop product. People need to know what is allowed, what is off limits, and when a decision needs review.
A webinar about prompts is not enough. PRC Impact training connects AI use to the organization’s policy, staff roles, privacy expectations, documentation rules, and real work.
The goal is not fear. The goal is rules clear enough to follow on Monday morning.
Tania Johns brings AI literacy to the rooms that need it most. She has facilitated workshops for community and professional audiences, including the MontgomeryAI Summit at Alabama State University and a Women’s History Month session for women business owners at the Small Business One Stop Shop (SBOSS).
AI policy is moving quickly. Emerging frameworks, including the EU AI Act and the current White House National Policy Framework for Artificial Intelligence, point toward the same practical need: organizations must improve AI literacy, define responsible use, and prepare staff for AI-assisted work.
PRC Impact translates these policy signals into practical governance practices: staff guidance, training, review steps, and leadership language organizations can use.
Policies, review steps, staff guidance, and leadership oversight move organizations from informal experimentation to consistent internal standards.
Staff need to understand appropriate use, prohibited inputs, privacy concerns, documentation expectations, human review, and escalation.
Role-specific guidance gives teams a clearer way to understand how AI affects daily work and decision support.
Leaders need clear language for boards, funders, partners, staff, and communities when AI use affects trust.
Global AI governance becomes more concrete and risk-based.
Organizations face clearer expectations around staff understanding and responsible use.
Federal policy signals growing attention to AI literacy, training, and workforce readiness.
PRC Impact turns fast-moving policy signals into internal guidance staff can follow.
Role-specific training with clear examples of acceptable use, risky use, and when to ask for review.
Focused sessions for executive teams and boards on governance responsibility, oversight questions, public trust, and explainable decisions.
Training delivered alongside a new AI use policy or staff guidance so expectations are introduced, explained, and reinforced before habits harden.
Built around a specific organizational context, leadership concern, or staff use case where a standard AI overview would not be specific enough.
AI literacy is part of AI governance because staff, leaders, and boards need to understand what AI tools can do, what information should not be entered, when human review is required, and how organizational rules apply to daily work.
Responsible AI training should be tailored for staff, supervisors, leadership teams, and boards because each group has a different role in using, approving, explaining, or overseeing AI.
The starting assessment identifies who needs training, what decisions they make, what examples matter, and where policy or staff guidance needs reinforcement.