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We guide leaders and mission-driven organizations to adopt AI responsibly - strengthening trust, relationships, ethical leadership, and resilient decision-making.

Using the RRR Journey™ framework, we center people in every AI decision—assessing readiness, building ethical strategies, and equipping leaders to make resilient choices that protect trust while strengthening organizational performance.
Learn how the RRR Journey™ framework helps leaders make responsible, defensible AI decisions—grounded in people, governance, and trust.
All engagements begin with a consultation to determine scope and fit. Each engagement is tailored to your context, risk profile, and governance environment.
Transparency is a part of responsible AI. Here's what leaders often ask us.
We work primarily with executive teams, boards, nonprofits, public-sector organizations, and mission-driven businesses navigating AI-related decisions. We also offer limited community-oriented guidance for individuals and small organizations seeking ethical, people-first clarity.
No. Our work focuses on decision-making, readiness, governance, and strategy. We intentionally do not provide tool implementation, automation builds, or vendor selection so that our guidance remains independent and human-centered.
AI decisions are highly contextual. Consultations allow us to understand your goals, risks, people considerations, and governance needs before recommending any next steps. This ensures the work is appropriately scoped, responsible, and aligned—and avoids unnecessary or misdirected effort.
Each consultation serves a different purpose:
We help you determine the right entry point during intake.
We remain vendor-neutral. Our role is to help leaders decide how AI should be governed and whether it should be used—before tools or vendors are introduced.
Yes. As part of our commitment to responsible AI access, we offer limited individual, nonprofit, and community guidance, as well as free educational speaking engagements for libraries, colleges, and community organizations. These offerings are intentionally scoped and educational in nature.
No. Because scope and complexity vary widely, pricing is determined after an initial consultation. Consultation fees are credited toward a full engagement if you choose to move forward.
Our work is strategic and human-centered, not technical. We focus on leadership judgment, governance, ethics, and people impact—areas that must be addressed before technical decisions are made.
Yes. We work with a range of mission-driven and public-serving organizations, including higher education institutions, K–12 systems, nonprofits, and public-sector entities, in addition to businesses.
These environments often face heightened responsibility around people, trust, equity, and governance, which makes a human-centered approach to AI especially important. Our work is designed to support leaders navigating AI decisions where educational integrity, public accountability, and long-term impact matter as much as efficiency.
We tailor our consultations to the specific context, constraints, and governance structures of each sector.
Clients leave with clarity, confidence, and a defensible path forward—whether that means proceeding carefully, investing in deeper work, or choosing not to pursue AI at this time.
The best first step is a consultation. You can request one through our site, and we’ll help determine the most appropriate path based on your context and needs.
Not every organization needs every step. We help you enter at the right point based on your context. While every organization is different, most engagements follow a clear progression:
1. Human-Centered AI Discovery Session
Start here if you are early in your thinking and want to explore whether AI is appropriate at all.
2. AI Readiness & Decision Consultation
Move here once AI is being actively considered and you need clarity on readiness, people impact, and risk before making decisions.
3. Executive AI Readiness Consultation
This is the right step when AI decisions sit at the executive or board level and require governance, accountability, and ethical oversight.
4. AI Strategy Scoping Consultation
Begin here once readiness is established and you need to define what an AI strategy should include, exclude, and protect—before building or investing.