Articles & Resources

AI inference now drives 85% of enterprise AI spend in 2026. Here is what the inference cost crisis means for nonprofits and how to budget for it.

Every nonprofit CRM now markets AI features. Here is how to tell genuinely embedded intelligence from cosmetic add-ons that look smart but change nothing.

Embedded AI for nonprofits: how the 7% of high-impact orgs build AI into strategic plans, budgets, and KPIs. Frameworks, line items, metrics, and ownership.

Adversarial prompts for nonprofit chatbots: 10 attack tests covering injection, jailbreaks, PII leakage, and crisis failures. Pass/fail criteria included.

AMA AI mental health safeguards for nonprofits: a practical guide to human-in-the-loop chatbot oversight, supervision protocols, and 2026 compliance steps.

AI-native vs. AI-bolted-on for nonprofits: a procurement framework with scoring criteria, vendor questions, and rules for picking the right architecture.

DOL AI Literacy Framework delivery principles for nonprofits: a practical guide to designing AI training that actually changes how staff work, not just what they know.

Anatomy of high-impact nonprofit AI use: the governance, workflows, ownership, and measurement habits that distinguish the 7% getting major results from the 92%.

The 2026 Nonprofit AI Adoption Report identifies three stages of AI maturity. A diagnostic model nonprofit leaders can use to find their stage and advance.

The DOL AI Literacy Framework defines five competency areas. A role-by-role guide translating them into concrete competencies for nonprofit staff.

EU AI Act Article 50 takes effect August 2, 2026. A practical guide for nonprofits on labeling AI-generated text, images, audio, and video for compliance.

Most nonprofits are stuck in reactive AI use. A practical roadmap for moving from one-off prompts to operational workflows that deliver real organizational value.