Knowledge Management Is Everyone’s Job Now

Knowledge is the bloodstream of every enterprise and in too many organizations, the arteries are blocked.

In the last few months, my team at Metric Sherpa partnered with Upland Software to study how enterprises are managing knowledge in the age of AI. We surveyed more than 300 professionals across industries and roles: executives, operations leaders, IT, and knowledge managers. We wanted to know how healthy or blocked the lines of information really were. Are organizations truly ready to activate knowledge as the foundation for AI?

The answer was unsettling. Despite heavy investment in tools and a wave of AI pilots, the fundamentals of knowledge management remain immature across far too many enterprises. 

For decades, knowledge management has been treated as someone else’s problem. A departmental initiative. An IT platform. A governance checklist. The research made it clear: organizations can’t afford that mindset anymore.

The Hidden Drag on Performance

Only about one in five organizations describe their knowledge practices as structured and mature. Nearly a third admit to fragmented or inconsistent processes. Even in companies that refresh their knowledge bases quarterly, the content is often unstructured, poorly tagged, or disconnected from the way people actually work. Governance policies may exist, but fewer than a third of organizations measure the impact of their knowledge initiatives.

The numbers explain why leaders keep running into the same wall. Eighty-four percent of contact center leaders told us their agents still struggle to find answers efficiently. Seventy-nine percent of enterprises are piloting AI, but most lack the content discipline to make those tools deliver at scale. Executives express confidence in their readiness, yet only 29% believe their workforce is prepared to adopt AI in daily workflows.

The pattern is unmistakable. This isn’t an isolated systems issue, but a leadership responsibility. When knowledge isn’t findable, trustworthy, or embedded in workflows, the costs are immediate: missed sales, poor customer experiences, slow decisions, compliance risks, and employee frustration. Rework multiplies. Trust erodes. Confidence disappears.

The Five Rules of Knowledge Activation

This is where leaders must step in. Our research points to five rules that separate stalled initiatives from those that deliver:

1. Own It. Knowledge needs an executive sponsor and a cross-functional council that spans CX, IT, operations, and enablement. Define success and track it alongside your most critical KPIs.
   
2. Design Where It Hurts. Start with the friction points—an escalation, onboarding, a product release—and build knowledge experiences that remove the pain from those workflows.
   
3. Fix the Inputs. Structure, tagging, validation, and ownership must come before scale. Focus on the highest-impact domains and set the standard for how knowledge will be created and maintained.
   
4. Prove It Under Pressure. The contact center is your stress test. If agents can consistently find and trust answers under live conditions, the system is ready to scale.
   
5. Measure Like You Mean It. Select three to five metrics that show business value—resolution time, onboarding speed, compliance accuracy, employee confidence—and report them as consistently as financial results.

The Activation Imperative

Taken together, these findings send a clear signal: knowledge is the operating system of modern enterprise performance.

Leaders can’t celebrate AI pilots while their people are stuck searching for answers. They can’t treat governance as compliance theater without proof of impact. They can’t rely on tribal knowledge and hope it scales. Every executive I spoke with described AI as central to their future. The truth is simple: AI will only take them as far as their knowledge foundations allow. That puts the responsibility squarely on leadership.

The imperative is clear:

• Elevate knowledge to the level of finance, technology, and risk.
• Make its performance visible in the same reports that guide your strategy.
• Hold teams accountable for structure, trust, and usability.
• Stop treating knowledge as a side initiative. Treat it as the engine of growth.

The future of knowledge is activation: structured, governed, integrated, and trusted. The organizations that commit to this shift will gain speed and resilience. Those that don’t will see stalled AI projects, frustrated employees, and customers who look elsewhere.

Knowledge management is everyone’s job now. And the responsibility for making that real starts at the top.