AI use spreads faster than ownership. Your marketing team may test generative ai models for writing, operations may automate documents, and customer teams may use AI summaries, while nobody holds the full picture of risk, cost, or artificial intelligence governance. A clear AI governance committee structure gives you a place to make decisions without turning […]
AI Governance Committee Structure for a 200-Person Company Read More »
Integrating artificial intelligence in customer service can cut response times, answer routine questions around the clock, support your agents, and help you scale service without adding headcount at the same rate to improve operational costs and efficiency. For CEOs, COOs, founders, and boards, that speed can improve customer experience cx and operating margins. However, one
AI Customer Service Risks for Business: What Faster Answers Can Cost You Read More »
When a director says, “We have an AI policy,” it sounds calm and controlled. It suggests that the boardroom problem with AI has been solved. It creates the illusion that someone has thought through the complexities of this new landscape. However, a policy on paper is not the same thing as real governance. A document
The Boardroom Problem With “We Have an AI Policy” Read More »
Your intake queue is already loud. A report is due. A partner wants answers. Then a generative AI vendor promises to serve as your strategic technology partner and “save time” with summaries, triage, or a chatbot. That tool might also touch intake notes, safety plans, immigration status, or donor records. The risk isn’t abstract. It’s
AI Vendor Due Diligence Checklist (Privacy, Bias, and Explainability) Read More »
Generative AI is now sitting in front of your customers. It writes emails, answers chats, sets appointments, and nudges buyers toward the next step. It also has the power to confuse, overpromise, or leak information in a single click. For executive leadership, such as growth-minded CEOs or COOs, that is the tension. AI can cut
AI Safety Best Practices For Executives Using Customer-Facing AI Read More »
In The Goal, the factory keeps missing orders. Managers try to fix everything at once. New reports. New rules. New metrics. Nothing works until they focus on one stuck machine, then manage the whole system around it. That is where many justice-focused nonprofits are with applied artificial intelligence today. You hear pitch after pitch promising
As a CEO, you assume the tools you buy are neutral. That your software, algorithms, and data are objective. This is one of the most expensive assumptions you can make. The reality is that your technology is likely loaded with hidden biases, creating massive legal, financial, and reputational liabilities you can’t see. Fixing this isn’t
A CEO’s Guide to Aligning Technology Decisions with Racial Justice and Equity Goals Read More »
