When Leadership Gets Digital — But Fails Human: Rewiring Trust in Government
Government leaders lean into digital transformation, yet neglect the human trust needed to sustain it. But trust is the invisible code for digital leadership.
Government leaders lean into digital transformation, yet neglect the human trust needed to sustain it. But trust is the invisible code for digital leadership.
Large-scale transformation feels slow, bureaucratic, and risky. But what if your secret weapon isn’t a grand program, but a portfolio of micro-transforms?
AI policies focus on models, ethics, privacy, but many neglect the invisible governance layer that operationalizes those policies.
AI pilots may seem affordable, but production-scale inference brings spiraling costs and energy demands. Make AI both scalable and responsible.
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.
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.
AI services can silently exclude people with disabilities, language needs, or low-bandwidth access, creating an “equity debt” that compounds over time.
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.
Agencies worry about shadow IT, but the quiet risk today is shadow procurement, micro-purchases that bypass governance and bring in unvetted AI.
Cascading risks are reshaping the way governments must think about resilience. Agencies can no longer rely on single-event continuity planning.