AI Leadership & Governance
for Human Service Organizations
AI Is Already In Your Organization. The Question Is “How You're Going to Support It Responsibly”
AI isn't a future conversation anymore.
AI is changing how organizations deliver services, support staff, supervise practice, and make decisions.
But responsible adoption isn't simply about choosing the right technology.
It's about creating the policies, leadership practices, ethical safeguards, and organizational culture that help people use AI ethically and responsibly.
Questions about confidentiality, privacy, professional judgment, transparency, and accountability don't disappear when a new tool enters the workplace. They become even more important.
Maybe You're Navigating Questions Like These...
"My staff are already using AI. I don't know what they're putting into it." How do we support innovation while protecting confidentiality, privacy, and client trust?
"Some staff use AI. Others refuse to touch it." How do we create a consistent organizational approach instead of everyone making their own rules?
"Our supervisors are being asked questions about AI every day." How do we prepare clinical supervisors to guide ethical AI use without compromising professional judgment and Soial Work ethics?
"We know AI isn't going away." How do we support our teams with practical tools, policies, and guidance that reflect our values?
That's why my work combines practical AI education with governance, supervision, and implementation strategies grounded in the values and ethics of social work and human services.
Combining Practical AI education with Clinical Supervision, Governance and Implementation Strategies
Organizations don't need more hype about AI.
They need practical guidance that helps staff, supervisors, leadership teams, and boards understand where AI fits, where it doesn't, and how to use it responsibly.
That's where my work begins.
Ethics-Grounded AI Education
Your staff doesn't need generic AI training. They need to know what's safe to use, what isn't, and why — built on the NASW Code of Ethics, not a tech company's terms of service.
Privacy & Breach Protection
The real risk isn't hype. It's a staff member typing a client's name into the wrong tool. Every session is built around what actually breaches confidentiality, and how to prevent it before it happens.
Standardized, Actionable Frameworks
One shared standard instead of five different approaches. Frameworks that protect your organization, save your team real time, and protect the social workers doing the work — not just the institution.
This is About Creating Clarity Around AI.
Not About Controlling it.
Not sure where to start? Contact Us For a Free Assesment
Ethical AI Policies Require More Than a Tech Workshop
Organizations often reach out looking for AI training.
What they're really looking for is clarity.
Clarity about how AI fits within professional ethics. Clarity about confidentiality and privacy. Clarity about what responsible use looks like for staff, supervisors, leadership teams, boards, and educators.
Most people offering AI governance right now come from technology or compliance — not from social work. I come from social work first. I'm a licensed clinical social worker with a doctorate, and before I was helping organizations navigate AI, I was the one carrying the caseload, sitting in the supervision session, making the judgment call in the room. I understand what your organization is going through because I've been inside it — the ethical weight of the work, the pressure on supervisors, the standard boards are actually held to.
That's the foundation my work builds on: combining practical AI education with the ethical grounding social work has always relied on. The goal isn't simply to understand AI. It's to use it responsibly, thoughtfully, and in service of the people and communities we support.
AI Training for Social Work &
Human Service Decision-Makers
Human Service Leaders, Managers, and Supervisors
Focused on: organizational effectiveness, ethical leadership, vetting AI tools before they enter your organization.
Social Work Agencies and Nonprofit & Human Service Organizations
Focused on: policy, governance frameworks, and implementation roadmaps built for your organization specifically.
Nonprofit Boards and Executive Leaders and Foundation Leaders, Grantmakers, and Program Officers
Focused on: fiduciary duty, risk oversight, and responsible AI use in funding and governance decisions.
Clinical Social Work Supervisors
Focused on: preparing supervisees for AI questions, safeguarding confidentiality and professional judgment in supervision
5 AI Training Pathways for Leadership, Governance, Clinical Supervision & Grantmaking
Every organization arrives at a different stage of AI adoption. Some are exploring AI for the first time and want practical literacy before anything else. Others already know they need governance policies, board education, or guidance for clinical supervision.
PATHWAY 1
AI Leadership & Management
Practical AI tools for organizational effectiveness, without losing human-centered leadership.
For Human Service Leaders, Managers, and Supervisors.
You don't need to become a technologist. You need to lead one.
This pathway explores how AI can streamline administrative tasks, strengthen communication, support strategic planning, analyze data, develop policies and procedures, and improve meeting productivity — alongside a practical framework for vetting any AI tool before it enters your organization, examining privacy, data governance, bias, and organizational fit.
Format: Interactive workshop [duration/delivery PENDING]
Key Deliverable: A roadmap for leading AI adoption in your organization
You leave with actionable tools, reusable prompts, and the confidence to lead AI adoption without losing the human relationships at the center of your work.
PATHWAY 2
AI Policy & Governance
The governance framework your organization needs before AI outpaces your policy.
For Social Work Agencies and Nonprofit & Human Service Organizations.
You don't need another workshop. You need a policy your organization can actually follow.
This pathway walks through the Four-Phase AI Implementation Roadmap — assessing readiness, building governance structures, implementing responsibly, and continuously monitoring and refining — covering confidentiality, informed consent, transparency, bias, and accountability at the practitioner, supervisory, and organizational level.
Format: Interactive workshop [duration/delivery PENDING]
Key Deliverable: Customizable AI Policy Template + implementation checklists
You leave with a structured framework and actionable resources to confidently lead ethical, sustainable AI integration — sized to your organization's mission and services, not a generic document you have to translate yourself..
PATHWAY 3
Clinical Supervision
A framework for supervising AI use with the same rigor you bring to clinical practice.
For Clinical Social Work Supervisors.
Your supervisees are already asking. You need a framework, not just an opinion.
As AI becomes more prevalent in social work education and practice, supervisors are increasingly the ones responsible for preparing supervisees to navigate it — while upholding confidentiality, equity, and transparency. This pathway introduces an Agreement for AI Use in Supervision template, worked through live so you leave ready to use it, not just aware it exists.
Format: Webinar [duration/delivery PENDING]
Key Deliverable: Agreement for AI Use in Supervision (template)
You leave with practical strategies and safeguards to confidently integrate AI into your supervisory practice, not just a general sense that you should be paying attention to it.
PATHWAY 4
Board Governance
The AI literacy your board needs before the next big decision, not after.
For Nonprofit Boards and Executive Leaders.
You're not becoming AI experts. You're learning what to ask before you approve anything.
AI is reshaping how nonprofits operate, manage risk, and deliver services, making AI literacy an essential board competency. This pathway centers the board's role in AI governance — risk management, privacy and data security, bias and equity, transparency, cybersecurity, and regulatory compliance — and the key questions to ask before any AI technology moves forward.
Format: Interactive workshop [duration/delivery PENDING]
Key Deliverable: Board-Level AI Oversight Checklist
You leave with a practical governance framework and actionable recommendations to adopt AI responsibly while protecting stakeholders and fulfilling fiduciary duty.
PATHWAY 5
Philanthropy & Grantmaking
Where AI belongs in grantmaking, and where human judgment has to stay.
For Foundation Leaders, Grantmakers, and Program Officers.
Your grantees are already using AI. You need a stance, not just a policy.
This pathway explores how AI can support grantmaking — environmental scans, proposal review, due diligence, portfolio analysis, impact measurement — while examining the ethical considerations unique to this sector: algorithmic bias, equity, transparency, and how AI can either reduce or reinforce inequities in funding decisions.
Format: Interactive workshop [duration/delivery PENDING]
Key Deliverable: AI grantmaking framework + grantee disclosure guidance
You leave with a framework for integrating AI into grantmaking that promotes fairness, trust, and mission-driven impact — and clear expectations you can set for how grantees use it too.
What Your Social Work Organization Will Leave With
Board-Ready Resources Governance checklists, discussion guides, and practical frameworks that support informed decision-making.
Organizational Clarity. Policies, implementation roadmaps, and shared standards that help staff and leadership move in the same direction
Confidentiality Safeguards. Clear guidance around privacy, data protection, and responsible AI use in practice.
Support for Supervisors. Tools and agreements that help supervisors navigate AI-related questions with greater confidence and consistency.
Ethical Foundations for Future Growth. Practical strategies that allow organizations to explore AI while remaining aligned with their mission, values, and professional responsibilities.
There are plenty of AI trainings that focus on technology.
My work focuses on something different: helping social work agencies, nonprofits, foundations, and human service organizations determine how AI can be used responsibly within the realities of practice.
Because the challenge isn't simply learning a new tool.
It's understanding how AI intersects with confidentiality, supervision, professional judgment, organizational culture, and the ethical responsibilities that define social work.
Whether you're developing a policy, supporting supervisors, educating leadership, or preparing your board for AI-related decisions, you'll leave with practical guidance, actionable resources, and a clearer path forward.
Not just more information about AI. A social work-informed approach to using it responsibly.
Trusted By Training Coordinators
& Supervisors
BEFORE YOU ASK
AI Workshops FAQs
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That depends on your goals.
Some engagements are designed specifically for executive leadership, supervisors, boards, or governance committees. Others bring together staff across the organization to establish a shared understanding of responsible AI use.
During our discovery conversation, we'll determine who needs to be involved and what format will be most useful for your organization.
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Many organizations engage me because they need more than information.
Depending on the training or consultation, participants may receive policy templates, supervision agreements, governance checklists, implementation frameworks, or practical tools that can be adapted to their organization's needs.
The goal is to leave with something actionable—not just ideas.
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Yes.
Every organization has different priorities, levels of AI adoption, privacy considerations, and professional responsibilities.
Workshops can be tailored to your sector, audience, organizational goals, and the specific questions your team is currently navigating.
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Not at all.
Many organizations are still in the early stages of determining how AI fits within their services, supervision practices, and operations. Whether you're starting from scratch or refining an existing approach, the goal is to create a framework that makes sense for your organization and its responsibilities.
That question directly addresses Marina's actual buyers.
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My pricing varies based on the type of organization, audience size, format, and scope of work.
I intentionally use an equity-based approach so that smaller nonprofits and community organizations can access high-quality AI education alongside larger institutions with more substantial professional development budgets.
Pricing is discussed during the inquiry process and tailored to each engagement.
NOT SURE IS THE RIGHT FIT?
Different Training Categories
FOR LEADERSHIP
Agencies & Leadership
Strategic AI guidance for directors, executives, and decision-makers shaping organizational policy.
Learn more →
FOR FACULTY
Higher Education & Faculty
Curriculum-integrated AI training for social work programs, faculty, and MSW students.
Learn more →
FOR EVENTS
Keynote Speaking
Signature talks on ethical AI, the future of social work, and human-centered technology.
Bring Clarity to Your Organization's
AI Journey
Ready to equip your staff with ethical, practical AI skills?
Whether you're developing your first AI policy, supporting clinical supervisors, educating leadership teams, or helping your board understand its role in AI governance, the goal is the same: creating a thoughtful, ethical approach to AI that reflects your mission and values.