Insights on AI in the Workplace
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.
Should You Wait on a Federal and State Unified Approach to AI to Build Your Strategy?
Should You Wait on a Federal and State Unified Approach to AI to Build Your Strategy?: Federal and state AI policy will not align quickly enough to serve as a practical strategy timeline. This post explains why organizations should move forward now-using a risk-based, adaptable AI governance approach that can flex as new requirements emerge. It highlights the implications of the December 2025 executive order pushing a national framework and the March 2026 National Policy Framework for AI, and translates policy uncertainty into concrete actions: clarify AI use cases, map likely compliance exposure, establish guardrails, and create a change management plan that protects adoption from stalling once regulations shift.
AI-Powered Automation Assessment
Learn why change management often determines whether AI adoption succeeds or gets abandoned within months. Using the AI-Powered Automation Assessment as a case example, this post highlights the gaps that policies and governance documents can’t solve on their own-employee fear of job displacement, cultural readiness, psychological safety, and stakeholder trust. It provides a pragmatic view of how to pair governance with communication, training, and leadership behaviors that support sustainable adoption.