Insights on AI in the Workplace
Community Engagement & Stakeholder Alignment Facilitation
Ensuring AI initiatives serve communities, nonprofits, government entities - not just corporate goals.
Guardrails and Innovation are Polarities to Leverage, Not Either/Or
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
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.
AI Workshops & Training Programs
Building organizational AI literacy and governance capacity
Psychological Safety Is Your Most Underrated AI Governance Tool
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.
Executive Coaching for Responsible AI Leadership
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.
There’s a Lot of People Trying to Sell You AI Solutions
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.
From Shadow AI to Structured Governance
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 Checkbox. It's a Design Choice.
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.
Third-Party AI Vendors and Risk
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 Readiness Starts in the Basement, Not the Living Room
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.