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Customer Relationship Management
Customer Knowledge Management (CKM) involves integrating customer relationship management and knowledge management to provide customers with information specifically useful to the customer. You can find the latest Customer Knowledge Management intelligence news, trends, and solutions right here.

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Features

2026 The KMWorld AI 100: The Impact of AI on KM is Inescapable

While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding against violations of privacy and proactively securing sensitive data.Value is the key to adopting any technology, and AI tools are no different. AI-enabled KM provides opportunities for KM to shine and for knowledge managers to prove their value to their organizations.

AI 100 Trailblazer: Upland RightAnswers - Transforming enterprise knowledge into trusted AI answers

Purpose-built for complex, high-volume environments, RightAnswers empowers teams to resolve issues up to 4x faster with 49% faster search speed, achieve 80% AI-generated search response accuracy, and scale operations without increasing headcount through a proven combination of KCS-aligned workflows and next-generation capabilities including Gen Answers and RightAnswers X. 

AI 100 Trailblazer: Openstream.ai - “probably right” isn’t right enough

The Eva™ platform powers a growing portfolio of Operational AI solutions, from Collaborative Agentic AI systems for high-stakes knowledge work to AI Virtual Agents, AI Voice Agents, and Digital Humans for customer and employee engagement across voice, vision, gesture, and text.

AI 100 Trailblazer: CrafterQ - The Future of Knowledge is Conversational

At CrafterQ, we believe the future of digital experiences is conversational. AI agents will become a new layer across websites, applications, documentation, and customer experiences, helping people discover information, solve problems, purchase products and make decisions more effectively.

ViewPoints

Agentic AI and the Evolution of Finance: How Smarter Systems Are Powering Usage-Based Models and Enterprise Growth

Agentic AI marks a shift from passively recording business activity to actively driving it. Those who embrace this shift early will do more than automate tasks—they'll build a trusted, intelligent infrastructure that accelerates not only efficiency but also agility, strategy, and scale.

Leaders predict AI to continue permeating all aspects of KM in 2026

AI continues to be the topic du jour for various aspects of knowledge management, and 2026 looks to be no exception as leaders in the industry look ahead

Breaking Down Barriers: 10 Change Management Strategies to Eliminate Organizational Silos

By promoting cross-departmental collaboration and alignment, organizations can ensure a seamless and consistent customer experience across all channels.

Bridging the Knowledge Gap in Manufacturing: Securing Institutional Expertise for the Future

The manufacturing sector is at a crossroads. While investments in new technologies and infrastructure are essential, they must also be utilized to preserve and share institutional knowledge. By adopting a comprehensive KM strategy that includes centralized data management, digital innovation, and a culture of knowledge sharing, manufacturers can safeguard their expertise and secure long-term success.

Columns

The Deterministic Delusion: Why Agentic AI Fails the Rules-Based Reality of KM

The real error of the expert system era was not determinism itself—it was incomplete rules. Today's risk is the opposite: We have agents that are too flexible, running on too little accountability, deployed into environments where variation is not a feature but a liability.

Why Knowledge Management Needs a Quantum Reboot for the Agentic AI Age

By embracing a quantum approach, we can create an organization that is genuinely adaptive and intelligent. Agents, freed from the shackles of classical KM, can roam our knowledge graphs, identifying emergent patterns and unexpected connections that no human ever could. They can see that the support ticket trend and the new feature request in the sales call are actually the same particle, just observed in different contexts.

If We’re Truly in the Knowledge Age, Why Is Higher Education in Crisis?

Clearly, both traditional college degrees and specialized trade certifications are too narrow and fragmented to fully prepare students for what lies ahead. For now, a hybrid system is emerging that balances the arts and the sciences, augmented by one or more areas of specialization. KM's multidisciplinary nature gives us a distinct advantage in helping to make this transformation happen. The trick is knowing when to work inside and when to work outside the formal system.

Humans in Loops, Flows, and Dialogues

I think we are entering—possibly are already in—the era of humans in the dialogue with AI, discovering our values, getting more specific about them, and altering their applications based on the specifics of our world and situation. If the old KM was about building, organizing, sharing, and leveraging knowledge, the new KM might also be about mastering the dialogue: using AI not just to retrieve our answers, but to help us finally articulate the right questions.

Knowledge Management Whitepapers

From Fragmented Signal to to Strategic Insight

How Enterprise Information Architecture Solves Businesses’ Biggest Data Challenges

2026 KMWorld Guide to KM Trends, Products, and Services

Information Rich: Unifying Fragmented Data With Agentic Workflows in 2026

Customer Relationship Management Companies and Suppliers
Customer Relationship Management Directory