July/August 2026 [Volume 35, Issue 4]

Features

AI 100 Trailblazer: Access Innovations, Inc. - AI Can’t Find Information That Isn’t Labeled

Access Innovations combines decades of expertise in knowledge organization, taxonomy development, and metadata creation with advanced AI techniques to help organizations prepare their content for the next generation of intelligent applications.

AI 100 Trailblazer: AllegroGraph - Agentic AI Needs Context Graphs Built on Knowledge Graphs

As AI systems evolve from assistants into autonomous collaborators, enterprises will need durable memory, explicit semantics, lineage, governance, and explainability. AllegroGraph and GraphTalker provide the semantic control plane where Knowledge Graphs become Context Graphs for trusted Agentic AI.

AI 100 Trailblazer: Altuent builds reliable AI outputs starting with better human-centric knowledge foundations

As organisations accelerate the adoption of tools such as Microsoft Copilot and AI agents, a consistent challenge is emerging: AI outputs are only as trustworthy as the knowledge they are built on. In many organisations, content is fragmented, inconsistent, and lacking the structure and context required to generate reliable answers. Altuent addresses this by focusing on the foundations of knowledge.

AI 100 Trailblazer: CCC (Copyright Clearance Center) - Licensing Accelerates Responsible AI

CCC is committed to making copyright work, while supporting technological advancement.

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.

AI 100 Trailblazer: eGain - The Trusted Knowledge Platform for AI and Humans

Enterprises choose the eGain AI Knowledge Hub—available as a full-stack solution that can be configured in days or assembled to spec using APIs, SDKs, and MCPs on the eGain Composer platform to ensure a governed, compliant content foundation.

AI 100 Trailblazer: Enterprise Knowledge collaborates with clients at every stage of an AI program

Thought leadership and the proven methodologies and expertise within are what makes us successful in collaborating with our clients at every stage of an AI program, from initial strategy and business case development to design, piloting, and enterprise AI builds.

AI 100 Trailblazer: Evalueserve Powers Trusted, Governed Knowledge at Scale with Quality AI-Led Managed Services

For knowledge management teams, we address one of the most pressing challenges in the enterprise today: making organizational knowledge reliably findable, trusted, and governed at scale.

AI 100 Trailblazer: KMS Lighthouse — Advancing Enterprise Knowledge with GenAI and Agentic AI

By combining deeply governed generative AI with agent-driven execution, KMS Lighthouse enables organizations to move beyond passive knowledge access toward intelligent, outcome-driven knowledge operations.

AI 100 Trailblazer: Lexsoft Systems is at the forefront of AI-powered legal knowledge management (KM)

Lexsoft T3 now plays a critical role in supporting the current wave of AI-led transformation of working practices in the legal sector. The company has evolved T3 from a standalone solution into a key component within the broader orchestrated workflows. KM as a solution is invisible—lawyers can simply trust that they are accessing the best knowledge documents.

AI 100 Trailblazer: Mindbreeze - From Answers to Action: Agentic AI for the Enterprise

By unlocking enterprise knowledge sources and integrating with existing AI ecosystems, Mindbreeze transforms organizational data into a secure foundation for models, agents, and intelligent search with document-level security at scale.

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: Shelf - Knowledge and Data-First AI for the Agentic Enterprise

Built on a layered architecture, Shelf delivers agentic experiences across chat, voice, and email, orchestrates how agents reason and act through CortexAI, and scales Super Agents across contact-center and back-office workflows.

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. 

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.

The Challenges of Information Overload

Will there every be an actual end to information overload? After all, it's been long-standing complaint and only seems to be intensifying. Relief, in the form of surfacing only relevant information, customizing summarization, aligning curation and automation with business goals, and instating visualization, lies ahead.

Evolution of Semantic Layers and Knowledge Graphs: Pivotal Components for KM

Over time, structured and unstructured data have moved closer together, both in terms of organizational interactions and in terms of the enabling technologies. Merging structured and unstructured data provides a richer knowledgebase and a more solid path to agentic AI, as well as greater accessibility for users. The semantic layer and knowledge graphs have gone a long way to drive this trend.

KM as the Connector: Enabling Cross-Functional Business Transformation

Successful transformation depends on an organization's ability to manage and apply knowledge effectively. Whether the goal is digital transformation, workforce development, operational resilience, or innovation, organizations succeed when they can capture knowledge, embed it into daily work, and sustain it to improve how work gets done.

ViewPoints

The Age of the Citizen Developer: Mitigating Risk While Cultivating Enthusiasm

As untrained coders adopt AI, organizations must balance risk mitigation with fostering innovation. The organizations that succeed will not be those that restrict citizen developers, but those that channel their activity within well-defined guardrails and enforceable governance frameworks. When governance enables innovation rather than reacting to it, enterprises can capture AI's value without exposing themselves to unnecessary risk.

Semantic Layers Bring Answers to Problems KM Is Designed to Solve

With a semantic layer framework, an organization can actually spot where they lack explicit knowledge and information, or where people are asking questions for which explicit answers don't exist.

David Weinberger

The Joy of Dumb Questions: Knocking on the Door to Knowledge

If you're a knowledge manager, work on creating a culture that discourages knowledge one-upmanship. Make sure that your knowledgebase has answers at every level of experience and knowledge. And, as a leader, embrace chances to ask dumb questions without fear or hesitation. After all, dumbness acknowledged is the most powerful knowledge tool we have.

The Future of the Future

Looking to the Past to Co-Create the Future

As more ancient texts become digitized and translated, let's go all-in by using human-augmented AI, combining ancient knowledge artifacts with our modern body of research. And let's not just be confined to one or two disciplines. Infinitely large numbers of breakthrough innovations even more impactful than the examples shared are possible.

Ethical Innovation

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.