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Collaborative Shared Technologies sets November launch for AI readiness guide

3 hours ago
By AI, Created 09:00 UTC, Sep 14, 2026, AGP -

Collaborative Shared Technologies LLC will publish a new executive guide and companion workbook on Nov. 3, 2026, focused on Knowledge Debt, Enterprise Intelligence and the knowledge foundations needed for AI-enabled operations. The release is aimed at leaders navigating digital transformation as organizations speed up AI adoption.

Why it matters: - The new publications target a growing problem: organizations are investing in AI before fixing the knowledge systems those tools depend on. - Collaborative Shared Technologies LLC frames Knowledge Debt™ as a hidden liability that can weaken decision-making, governance, learning and digital transformation outcomes. - The guide is positioned to help executives assess whether their organizations are ready to build sustainable Enterprise Intelligence™ capabilities.

What happened: - Collaborative Shared Technologies LLC announced the forthcoming publication of KnowledgeRoots™ Enterprise Intelligence Architecture™: The Executive Guide to Building Intelligent Organizations and an Executive Companion Workbook. - The books are scheduled for release on Nov. 3, 2026. - The announcement comes from Upper Marlboro, Maryland, where Collaborative Shared Technologies LLC is headquartered. - The publications are the first releases in the KnowledgeRoots™ Executive Series.

The details: - Knowledge Debt™ is defined as the accumulation of missing, fragmented, inaccessible, outdated or underused organizational knowledge. - The framework says accumulated Knowledge Debt™ can affect operational performance, organizational learning and the knowledge base needed for AI and digital transformation efforts. - Enterprise Intelligence™ is presented as a strategic capability that connects knowledge, people, processes, governance, technology, learning and artificial intelligence. - The executive guide is written for executives, organizational leaders, knowledge management practitioners, digital transformation professionals and change leaders. - The companion workbook is designed to move readers from concept to application through discussions, assessments, reflections, planning activities and executive action steps. - Together, the two publications are meant to help leaders examine their current knowledge environment, identify gaps, evaluate readiness and build a more integrated approach to Enterprise Intelligence™. - The KnowledgeRoots™ Executive Series focuses on knowledge management, enterprise intelligence, organizational maturity, AI readiness, governance, learning and business transformation. - Preorder information for digital and print editions is available through the company’s websites. - More information is available in the company's publication and preorder information and on its international and commercial website.

Between the lines: - The publication package suggests Collaborative Shared Technologies LLC is trying to define a proprietary framework for how organizations should prepare for AI, not just how they should adopt AI tools. - The emphasis on knowledge foundations reflects a broader management concern: AI systems are only as useful as the information, governance and processes behind them. - The guide also positions knowledge management as a boardroom-level issue rather than a back-office function.

What's next: - Collaborative Shared Technologies LLC plans to publish both titles on Nov. 3, 2026. - The company is directing readers to preorder digital and print editions ahead of release. - The KnowledgeRoots™ Executive Series is expected to expand the company’s publishing and advisory platform around AI readiness and organizational intelligence.

The bottom line: - Collaborative Shared Technologies LLC is betting that the next phase of AI adoption will depend less on tools alone and more on whether organizations can fix the knowledge debt underneath them.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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