Four Approaches to Governance Support
Every engagement is different. Some organizations need all four; others focus where the need is greatest. We’ll help you figure out the right starting point.
Before building any policy, we help you understand your current AI landscape: what tools are already in use (including informal adoption by individual staff), what state, federal, and international regulations apply to your work, what your peers and sector are doing, and what the people closest to your mission need you to consider. This clarity is the foundation for every governance decision that follows, and it ensures your policies are grounded in reality rather than assumptions.
We conduct a thorough audit of AI use across your organization, including tools staff may be using informally, and identify gaps in oversight, data handling, and risk. We also analyze the regulatory landscape that applies to your work, from state-level legislation like Colorado’s AI Act and emerging bills in other states, to federal agency guidance and international frameworks like the EU AI Act.
We surface the concerns and priorities of your staff, leadership, board, partners, and the communities your work impacts before any policy decisions are made. We also benchmark how comparable organizations in your sector are approaching AI governance, so your framework is informed by real-world practice, not just theory.
We assess current or prospective AI tools and vendors against criteria that matter for mission-driven organizations: bias and equity, transparency and explainability, data practices and privacy protections, accessibility, and alignment with your values and the populations you serve.
Good governance starts with the right questions, not the right templates. We work with you to design a governance structure that fits your organization’s size, culture, and leadership model. We define how AI risk and ethical impact will be evaluated, categorize use cases by sensitivity so your policies are proportionate, and create a realistic roadmap for getting from where you are to where you need to be.
We help you determine who should oversee AI decisions and how those decisions connect to your existing leadership, ethics, and program structures. We also develop a practical framework for evaluating AI tools and use cases based on both operational risk and ethical implications, including equity, accessibility, and algorithmic bias.
Not every AI application carries the same risk. We help you categorize potential use cases by sensitivity level so your governance is rigorous where it matters most and streamlined where it doesn’t, avoiding unnecessary overhead while maintaining accountability where it counts.
We create a phased plan for policy development and adoption that reflects your organization’s capacity, culture, and timeline. This includes defining incident response and risk mitigation protocols so your team knows exactly how to identify, escalate, and respond to AI-related issues before they become crises.
We write governance documents your team can actually use. That means clear acceptable use guidelines, data privacy frameworks, vendor evaluation criteria, compliance documentation, and ethical principles that are woven into your decision-making processes rather than sitting in a binder on a shelf. Every policy we develop is tailored to how your organization actually works, not borrowed from a corporate template.
Clear, jargon-free acceptable use guidelines for how staff can and can’t use AI tools in their daily work. Data governance and privacy frameworks for how your organization collects, stores, shares, and protects data when AI is involved. Vendor procurement criteria with the right questions to ask about bias, transparency, and data practices. And ethical use principles that anchor AI decisions in your mission, informing how decisions are made, not just what you say about them.
Documentation and disclosure practices needed to demonstrate compliance with emerging AI legislation at the state, federal, and international level. We also help you develop public-facing or community-facing transparency reports that communicate how your organization uses AI, what safeguards are in place, and how stakeholders can raise concerns.
If your organization funds, certifies, or sets expectations for others, we help you develop policies for how AI expectations are communicated to funded partners, grantees, or certified organizations, including responsible use standards and reporting requirements that reflect your values.
Policy without practice is just paper. We help your team build real confidence through hands-on training, leadership briefings, and governance pilots that test your framework on actual use cases. We also establish the feedback loops and review cycles that keep your governance current as AI technology, regulations, and your organization’s needs evolve. And for organizations that want a long-term thought partner, we offer ongoing advisory support so you’re never navigating new questions alone.
Interactive workshops and learning sessions that help your team understand AI concepts, recognize risks, and apply your policies in real scenarios. We also offer tailored briefings for boards, executives, and other decision-makers, equipping them with the knowledge to provide meaningful AI oversight without requiring technical expertise.
We test your governance framework on a real use case, walking through the full evaluation, approval, and monitoring process so your team builds confidence and identifies gaps before scaling. This is often where governance moves from abstract to actionable.
We establish monitoring and review protocols with built-in feedback loops and update cycles that keep your policies current. For organizations that want continued partnership, we offer retainer-based advisory support for policy questions, vendor evaluations, incident response, and regulatory updates as the landscape evolves.
Governance built for mission-driven organizations.
Designed from the ground up for organizations where the mission comes first.
Ethics & Governance, Together
Most consultants separate policy from principles. We integrate ethical reasoning into every governance decision, because how you govern AI is a direct reflection of your values.
Grounded in Lived Experience
With over ten years of on-the-ground management and operations experience in government and nonprofit organizations, plus five years of management and strategy consulting with local, state-level, and national public and private organizations, we understand the populations, systems, and accountability structures your policies need to address.
Practical Over Perfect
We believe strong governance is built through action, not abstraction. Our goal is to help you develop policies that are both rigorous and realistic, so your organization can move forward with confidence rather than waiting for conditions to be perfect.
Regulatory Fluency
We stay current on the evolving legal landscape, including state legislation like Colorado’s AI Act, federal agency guidance, and international frameworks.
Capacity-Focused
We don’t just hand you documents. We help build your team’s ability to govern AI independently, long after our engagement ends.
Built for Your Context
Your organization operates in a complex environment of public accountability, diverse stakeholders, and community trust. Our frameworks are built for that reality from the start, not retrofitted from corporate models.
Frequently Asked Questions
It’s more relevant than you might think, and not because you need to rush into AI. If your staff are using tools like ChatGPT, Copilot, or AI-powered features in software you already have, AI is already in your organization. Governance doesn’t require a big tech team. It starts with basic clarity: what’s okay to use, what data shouldn’t go into these tools, and who to ask when something feels unclear.
Yes, and this is a question more organizations should be asking. AI can introduce ethical risk in areas people overlook: hiring and HR decisions, donor communications, grant evaluation criteria, content generation that represents communities you work with, or procurement processes that inadvertently favor certain vendors.
Templates give you a document. Governance gives you a practice. A template can’t tell you which AI use cases are high-risk for your specific organization, how your team culture will affect adoption, what your regulatory exposure actually looks like, or how to build internal capacity to make good decisions after the policy is written.
That’s common, and it’s actually a useful starting point. We help you reframe the conversation: not as “we need to restrict AI” but as “we need to be intentional about it.” A short landscape assessment or risk scan often gives leadership the concrete information they need to move from uncertainty to action.
Most organizations can have a functional governance foundation, including core policies, a risk framework, and an implementation plan, within two to four months. Our approach is phased so you’re making real decisions and building real capacity from the beginning.
Not at all, and you’re not alone. Starting with an AI audit of what’s already in use is one of the most valuable things you can do, because it surfaces risks and assumptions that have been operating without oversight.
Usually both. Some AI governance provisions belong in existing data privacy, acceptable use, or procurement policies. But AI also introduces risks that existing policies weren’t designed to address. We help you figure out where integration makes sense and where standalone policy is necessary.
If your organization funds, certifies, or sets expectations for others, you’re not just governing your own AI use; you’re shaping how an entire network of organizations approaches it. That creates both a responsibility and an opportunity.
This is exactly why we build governance frameworks designed to evolve. Every framework we develop includes review triggers, update cycles, and decision-making protocols that help your team respond to new tools, new regulations, and new risks without starting from scratch.
We focus on governance and ethics, but good governance naturally surfaces opportunity. When you map your operations, evaluate risk, and clarify your values around AI, you almost always identify places where AI could genuinely advance your mission, with the guardrails already in place.
Ready to Build Your AI Governance?
We co-write governance documents your team can actually use.