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 »
Eligibility screening tools for legal aid sound technical, but they sit right in the middle of your mission. They shape who gets through the door amid pressing client needs like housing issues, lockouts, or benefit terminations, who gets referred out, and how fast staff can respond when client wait times are already too long. For
Smarter Intake, Fairer Access: Eligibility Screening Tools for Legal Aid 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 »
