Insights & Research
Expert perspectives on AI transformation, sustainability, and business innovation. Whitepapers, research, articles, and practical guides from our thought leaders.
The Claude for Enterprise Teams Course: A Practical Curriculum for Putting AI to Work
Generic AI sessions explain concepts. A tool-specific course changes how people work. Here is what a focused Claude course for enterprise teams should cover, who it serves, and what participants can d...
Most AI Ideas Are Not Agentic. The Ones Worth Funding Are Both.
The real question is not agentic versus deterministic. It is whether your operating model can spot the few problems that need both, and fund them.
The Deployment Decade
Between May and July 2026, Anthropic, OpenAI, AWS and Microsoft each launched a dedicated AI implementation business, committing close to US$10 billion to Forward Deployed Engineering. This paper argu...
Agentic AI Governance: Why Enterprises Are Decommissioning Their Agents
Gartner expects 40 percent of enterprises to demote or decommission AI agents by 2027. The cause is rarely the model. It is governance, and that is a leadership decision made too late.
Why Enterprise AI Pilots Stall Before Production, and the Operating Model That Gets Them Past It
Most enterprises have more AI pilots than they can count and far fewer in production. Here is where pilots actually stall, the four layers enterprises keep skipping, and the operating model that turns...
Why Generic AI Training Fails: A Department-by-Department Breakdown
Generic enterprise AI training stalls at 15–20% utilization because finance, HR, sales, operations, engineering, and legal each face different workflows, risks, and measurement needs. Here's the depar...
Why Your AI Strategy Needs an Operating Model
Most enterprises have an AI strategy. Very few have designed the operating model to make it work. Here is why that gap is the single biggest reason AI initiatives fail to deliver real business value.
Why 75% of Enterprise AI Initiatives Fail And the 3 Things That Actually Fix Them
Enterprise AI failure refers to any AI initiative that fails to deliver measurable business value, stalls in pilot stage, or is abandoned before reaching production deployment. Current research places...
Core Skills for 2030: What the Future of Work Really Demands
The future of work is not only about AI. World Economic Forum data shows that by 2030, employers will value systems thinking, resilience, leadership, and sustainability capability just as much as tech...
AI-First Operating Model: A Framework for Enterprises Beyond Pilots
Seventy percent of enterprise AI initiatives fail—not because the technology doesn't work, but because organizations treat AI as a technology project rather than an operating model transformation. Suc...
ESG and AI: The Convergence Enterprise Leaders Are Missing
AI and ESG remain siloed in most enterprises—separate teams, separate budgets, separate strategies. Leaders who converge these capabilities unlock a powerful competitive advantage: automated ESG repor...
The 5-Prompt Problem: Why Copilot Adoption Without an Operating Model Costs You More
Ad-hoc Copilot adoption creates hidden costs—rework loops, repeated prompting, cognitive load, and compounding quality risk. The answer isn't better prompts. It's an operating model with role-specific...