Insights
Executive perspectives on AI transformation.
Thought leadership for leaders who are reimagining how their organizations operate, compete, and create value in the age of AI.
The Rise of the Chief AI Officer
Everyone owns a piece of AI, so no one owns the outcome. The case for a Chief AI Officer, where the role should sit, and why some organizations shouldn't hire one at all.
Read articleAI is Reimagining Software
What happens to build-versus-buy when working software can be generated in days? The economics of the enterprise stack are inverting, and per-seat SaaS pricing is the first casualty.
Read articleWhy Every Enterprise Needs an AI Operating Model
Four data pipelines that don't connect, three vendor contracts at worse terms, and nobody who can say what's working. Fragmentation is a choice. So is the alternative.
Read articleAI Governance Without Bureaucracy
Heavyweight review boards don't reduce AI risk. They push it into the shadows. The governance that actually works is lightweight, built into the platform, and faster than going around it.
Read articleThe Future CIO is an AI Orchestrator
The CIO role is shifting from technology operator to AI orchestrator: someone who coordinates intelligent systems, data flows, and human talent across the enterprise.
Read articleFrom Pilots to Enterprise Scale
Most enterprises can get a pilot working. Very few can get one adopted across the business. The difference comes down to governance, funding, and change management, decided before the pilot starts.
Read articleAgentic AI is the New ERP
AI agents are starting to coordinate whole business processes, the way ERP systems did two decades ago. The architectural decisions land on CIOs sooner than most expect.
Read articleWant perspectives tailored to your business?
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