iManage Disposition Manager turns retention policy to action

Most organizations find this out the hard way: with output that no one can fully trust because it was produced by an AI tool that drew on incomplete or generic data. The impulse may be to “feed it more data!” but that will only increase the “noise.” The way to better outcomes is to empower your AI tools with your data: collective knowledge governed and structured to reflect how your organization works.

In Cultivating a Knowledge-Led Workplace for AI Excellence, we walk through the phases an organization moves through as it builds that AI-ready foundation. Best practices are paired with real examples from successful organizations that illustrate both the challenges they faced and the outcomes they achieved.

Takeaways include:

• Collaboration and knowledge sharing improve decisions, strengthen AI outcomes, and compound into lasting organizational value.

• A well-governed foundation for knowledge enables AI to work reliably and gives people answers they can trace and trust.

• Shared, governed knowledge lets people and AI build on each other's work rather than duplicating efforts by working in silos.

• People, process, and technology aligned around knowledge maturity help deliver a foundation that unlocks AI’s full potential.

• This guide gives you the framework and the field evidence to build that foundation, plus a knowledge work maturity index to see where your organization stands today.

Download the guide and start closing the gap between AI ambition and AI excellence.