Budgeting for Inference Sprawl: FinOps + GreenOps for AI

AI pilots may seem affordable, but production-scale inference brings spiraling costs and energy demands. Make AI both scalable and responsible.

Algorithmic Redress: AI Due Process at Scale

AI is increasingly embedded in decisions that affect citizens’ benefits, permits, and rights, but few agencies have credible systems for appeal or correction. Building algorithmic redress mechanisms isn’t optional; it’s the backbone of public trust and due process in the AI era.

Continuity by Contract: Data/Model Escrow & Exit Rights

Agencies are rushing to adopt AI, but few prepare for what happens when contracts end. Building in continuity is not optional, it’s a resilience imperative.

Overcoming Accessibility Barriers in AI

AI services can silently exclude people with disabilities, language needs, or low-bandwidth access, creating an “equity debt” that compounds over time.

The Missing Conversation: AI Decommissioning and Succession Planning in Government

Governments are racing to adopt AI, but almost no one is planning for how to retire it. This article explores why AI decommissioning and succession planning are the blind spots executives and consulting partners must confront now to protect compliance, continuity, and trust.