What Happens When Your Approved Software Adds AI?
What happens when approved software gains new AI capabilities? Learn how organizations can adapt technology governance as cloud platforms continue to evolve.
AI Strategy & Governance
Practical guidance for adopting artificial intelligence responsibly, including AI governance, organizational readiness, policies, risk management, and executive leadership.
Latest
Questions Every Board Should Ask About AI
A practical guide to the questions boards should ask about AI strategy, governance, risk, and organizational readiness—helping board members provide thoughtful oversight without needing to become AI experts.
Why the Best First Enterprise AI Projects Are Often the Boring Ones
The best first enterprise AI projects are often the least exciting. Learn why practical improvements like AI meeting notes, enterprise search, and knowledge capture frequently deliver greater long-term value than more ambitious AI initiatives.
Organizations Are Adapting to a New Operating Environment
AI may be changing the technology landscape, but the bigger shift is happening inside organizations. As leaders rethink knowledge management, governance, security, budgeting, and strategy, a new operating environment is beginning to emerge.
AI Doesn't Fix Knowledge Gaps. It Exposes Them.
Most organizations have more knowledge gaps than they realize. AI doesn't magically solve those gaps—it often reveals them. Before investing in AI, it may be worth examining the quality, accessibility, and governance of the knowledge your organization relies on every day.
AI That Acts: Why Agentic AI Changes the Risk Equation
Agentic AI is changing how organizations use AI — and introducing new risks. Learn the key differences between chat-based AI and AI that takes action, and why governance matters more than ever.
Over-Documentation Is Not Knowledge Management: Designing Systems for Clarity and AI Readiness
Most organizations don’t struggle with a lack of documentation — they struggle with poorly designed knowledge systems. Over-documentation creates friction, slows decisions, and undermines AI initiatives. Effective knowledge management is not about capturing everything. It’s about structuring signal.
Architecting for AI: Why the Future of AI Starts With the Decisions You’re Making Today
Architecting for AI is about building clear systems, managing knowledge intentionally, and making technology decisions that support long-term scale, governance, and mission-aligned growth.
Should You Let ChatGPT, Claude, Gemini, or Perplexity Use Your Data for Training?
Using ChatGPT, Claude, Gemini, or Perplexity safely requires more than changing one setting. Learn how privacy, intellectual property, security, and governance fit together.
Shadow AI: The Hidden Risks
Shadow AI is already inside your organization. Learn how unsanctioned AI tools create security, governance, compliance, knowledge management, and intellectual property risks.
Is Your AI Acting Like a Summer Intern?
AI tools are fast and helpful. But like summer interns, they still need supervision. Learn how to guide AI for safer, smarter productivity.
Knowledge Management in 2025: What's Emerging, What's Evolving, What Matters Most
KM in 2025 is more dynamic, distributed, and people-centered than ever. This isn’t just a trends list — it’s a look at what’s really changing and why it matters.
