Agencies seek AI transformation but still use procurement systems designed for the last century. To fix it, embed agility and accountability into every acquisition.
Governments worldwide are chasing digital transformation while trapped in legacy hiring, training, and leadership systems that can’t keep pace with innovation. To lead in the AI era, senior executives must commit to a Digital Workforce Compact that prioritizes agility, learning, and trust over bureaucracy.
Governments are racing to adopt AI, yet many struggle. In 2026, success will belong to those who invest in trust, interoperability, and shared purpose.
Is your agency losing its best people to “mission overload”? This 5-step framework can help reduce overload and retain talent.
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.