Helping organizations adopt AI responsibly through governance, safety, and human-centered practices that ensure AI adoption is safe, sustainable, and successful for your organization. For leaders wondering how to get started with AI. For leaders concerned with human-centered AI harms and risks (privacy, security, cognitive decline)
Learn MoreEnsures human-centered AI learning occurs through customized workshops vs generic AI templates and platforms. Teams will leave more capable and ready through AI literacy training, customized workshops, and post workshop action guides
Learn MoreAdds organizational clarity, direction, & alignment for future growth, leadership transitions, restructuring, new technology/procesess, or funding shifts. These packages focus on the organization, it's people, processes, and the tools.
Learn MoreIf AI keeps surfacing at your organization, you'll want to come out to this event. I'll discuss "The Human Layer" of AI Readiness because successful, sustainable AI requires more than just tools built with advanced technology. It'll be fun and informative. This is open to HR professionals, organizational leaders, and anyone curious about deploying AI at work. Event details can be found on Eventbrite or at the link below
Join the Career Mentoring & Networking Ministry as I speak on the amazing world of AI. Learn and understand AI and the growing professional industries evolving around it.
Join the Women In Data™ 🚀 Huntsville Chapter as we explore how to navigate the changing hashtag#tech landscape with confidence and clear standards. See you online! 💻 📅 When: Tuesday 24 February 2026 🕖 Time: 7:00 PM – 8:00 PM CT
The Human Layer: Recipe Card
Organizations are adopting and deploying AI in hopes of gaining efficiencies and a competitive advantage. However, the human layer is often overlooked. Here's a quick look at how to address "the human layer" or "the secret sauce" for a successful, sustainable AI adoption that serves the people and not the other way around.
AI Governance Starter Kit 2026-2027
Essential resources curated for professionals navigating AI adoption in the workplace AI governance is a fast-moving field. These 10 resources ground the AI hype and noise with foundational frameworks, practical guides, and research that will help you understand your rights, evaluate AI tools critically, and advocate for human-centered practices in your organization.
10 Questions to Ask AI Vendors
Questions to ask an AI vendor before signing on the dotted line
Readiness Accelerator
Solutions for Common Organizational Problems
Zapier AI Governance Assessment
Full AI governance assessment of Zapier; this can be done for any AI vendor or AI solution, catered to an organization's needs, values, culture, and current and future capabilities.
US National Policy Framework for AI Legislation
Look inside the US stance on AI legislation
Ensuring AI initiatives serve communities, nonprofits, government entities - not just corporate goals.
AI governance frameworks like ISO 42001 and the NIST AI Risk Management Framework are positioned here as scaffolding for better, more consistent decision-making-not bureaucracy that kills momentum. The article challenges leaders to balance AI hype with legitimate risk, choose an adoption pace aligned to organizational values and readiness, and build guardrails that enable teams to experiment safely. It concludes with a call to action for organizations seeking tailored, capacity-appropriate AI guardrails that support long-term adoption rather than short-lived pilots.
Building a Security Culture Has Never Mattered More outlines the shift from traditional, easily spotted phishing to sophisticated AI-driven attacks that exploit urgency, authority, and trust. It argues that security is not solely an IT function, but a leadership and change management challenge requiring clear guardrails, repeatable practices, and reinforcement over time. The post connects cybersecurity readiness to sustainable AI adoption, urging organizations to build awareness, policies, and norms that help employees act confidently when something doesn’t feel legitimate.
Building organizational AI literacy and governance capacity
Psychological safety is often the missing governance layer in AI adoption. This post explains how fear-driven cultures lead to quiet noncompliance, undocumented workarounds, and stalled implementations-even when organizations invest in strong tools and AI literacy training. It outlines what psychological safety looks like in practice: employees feeling empowered to question AI outputs, raise value-alignment concerns, admit uncertainty, and participate in AI decisions. The summary connects these behaviors to stronger oversight, earlier risk detection, and more sustainable adoption aligned to the NIST AI RMF GOVERN function.
Executives facing pressure to adopt AI without clear governance, leaders managing workforce anxiety around AI, and organizations building AI ethics committees could benefit from AI coaching.
Many vendors are eager to sell AI tools before they understand your strategy, culture, and real readiness for adoption. This post explains why “buying a tool” is not the same as achieving outcomes-and how a human-centered, organization-first approach prevents stalled rollouts, leaked data, and misaligned automation.
This post highlights the operational reality that employees will adopt whatever works when enterprise guidance lags-especially as AI tools become easy to access and hard to detect. It frames shadow AI as a present, widespread challenge and emphasizes that risk doesn’t come from malicious intent, but from unmanaged usage involving sensitive constituent, student, or donor data. The article provides a structured starting point for AI governance that helps organizations move quickly and responsibly, balancing agility with safeguards.
Privacy isn't a legal department problem. It's a leadership decision. Is your organization treating privacy as a feature or an afterthought? I'd love to hear your experience.
Most small businesses, nonprofits, and local government agencies don't have the legal bandwidth to deeply scrutinize every AI vendor agreement. But that doesn't mean you're powerless. It means you need the right questions before you sign. Third-party vendor risk is one of the most underexamined areas in AI governance for small organizations. Don’t allow your vendor's AI practices become your organization's liability.
AI doesn't fix disorganization. It amplifies it. An undocumented, inconsistent process fed into an AI tool doesn't become efficient — it becomes inconsistent faster, at scale. True AI readiness has very little to do with technology selection.


