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.
Articles that explore digital transformation, platform selection, and technology planning — with a focus on aligning tools with goals and creating scalable systems.
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.
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.
“Best practices” promise certainty in technology strategy and digital transformation. But without context — your governance model, knowledge structure, and mission — they often create friction instead of clarity.
In 2026, knowledge management is no longer optional. As AI adoption accelerates, organizations are discovering that structure, trust, and low-friction knowledge capture are the real differentiators.
Platform migrations are one of the riskiest moments in your digital ecosystem. A defensive backup protects you from silent data loss, mapping errors, and workflow failures. Learn why it matters and what every organization should capture before making a move.
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.
Frank Gehry reshaped how we think about structure, creativity, and what’s possible. His approach to architecture offers surprising lessons for organizations navigating KM, governance, and AI readiness today.
In 2025, I finally rewired long-held habits and learned to collaborate with AI as a trusted partner. What started as cautious experimentation grew into integrating AI into strategy, communication, and daily work, and it reshaped how I lead and think.
As Cybersecurity Awareness Month ends, it’s time to move beyond basic tips. The C-suite faces unique risks such as AI-driven attacks, third-party exposure, and executive impersonation. Cybersecurity now demands leadership focused on resilience, governance, and trust.
Shadow AI is already inside your organization. From security risks to fragmented knowledge, unsanctioned AI tools can undermine your mission.
Discover how knowledge management evolves as teams grow — from ad-hoc fixes to strategy that fuels mission success.
Tech choices like Microsoft 365 vs. Google Workspace — or when to adopt AI tools — aren’t just IT calls. Learn how to involve leadership, operations, and end-users so decisions stick culturally as well as technically.