CHICAGO and SARASOTA, Fla. - August 6, 2026 - A.J. Rhem & Associates, Inc. (AJRA) and the Knowledge Management Institute (KMI) today announced their partnership to deliver the Certified Knowledge Specialist - Information Architecture for AI Solutions master class. The next live virtual session will be held October 5-6, 2026, and will be led by internationally recognized artificial intelligence, knowledge management, and information architecture expert Dr. Anthony J. Rhem.

As organizations accelerate the adoption of generative AI, retrieval-augmented generation, enterprise copilots, intelligent search, and AI agents, many are discovering that AI performance depends heavily on the quality and organization of the information supporting it. Poorly structured content, inconsistent metadata, weak taxonomies, inadequate governance, and unreliable knowledge sources can lead to inaccurate answers, ineffective retrieval, limited explainability, and increased operational risk.

The two-day Information Architecture for AI Solutions program is designed to help professionals address these challenges by establishing the information and knowledge foundations required for reliable enterprise AI.

The partnership combines KMI’s internationally recognized knowledge management education and certification programs with AJRA’s extensive experience in artificial intelligence strategy, information architecture, knowledge management, responsible AI, and enterprise transformation.

A Practical, Hands-On Approach

The master class moves beyond conceptual discussions of information architecture. Participants will apply course principles to a selected AI use case and progressively create an integrated Information Architecture for AI Solution Blueprint throughout the two-day program.

• Assessing the readiness of organizational content and knowledge sources for AI


• Designing AI-ready content models and metadata structures


• Developing taxonomies, controlled vocabularies, and semantic layers


• Determining when ontologies and knowledge graphs are required


• Defining retrieval, filtering, ranking, grounding, and citation requirements


• Supporting search, RAG, copilots, intelligent assistants, and AI agents


• Establishing information architecture governance roles and controls


• Connecting information quality to AI risk, security, privacy, human oversight, evaluation, and business value

The program emphasizes the relationship between information architecture and the trustworthiness of AI-generated results, including answer reliability, provenance, access control, explainability, groundedness, and citation accuracy.

Participants Develop an Actionable AI Solution Blueprint

Rather than assigning a separate project at the conclusion of the course, the program uses a progressive capstone structure. Each exercise produces a section of the participant’s final blueprint.

• An AI use-case and knowledge-context definition


• A content and knowledge-source inventory


• An AI-readiness and risk assessment


• An AI-ready content model


• A metadata, provenance, and access-control schema


• A taxonomy and semantic-layer design


• Retrieval and AI-experience requirements


• An information architecture governance and operating model


• An AI risk, evaluation, and success-measure framework


• A 90-day implementation roadmap

This applied format enables participants to translate course concepts into practical decisions, governance structures, and implementation priorities for real-world AI initiatives.

Who Should Attend

The program is designed for professionals responsible for the information, knowledge, architecture, governance, and business foundations of AI, including knowledge managers, information architects, content strategists, taxonomy and ontology professionals, enterprise-search leaders, data and solution architects, AI product owners, AI program leaders, responsible AI professionals, records managers, and digital transformation executives.

Course and Certification Information

The next virtual class will be conducted October 5-6, 2026. Participants who successfully complete the program requirements can earn the Certified Knowledge Specialist in Information Architecture for AI Solutions credential.

The registration package for new students includes the two-day master class, course workbook, KM Foundation online program, online examination, certificate and digital badge, Knowledge Hub access, and supplemental taxonomy-design training. Previous KMI graduates may qualify to bypass the KM Foundation requirement.

About A.J. Rhem & Associates, Inc.

A.J. Rhem & Associates, Inc. is a consulting, research, and training firm specializing in artificial intelligence, knowledge management, information architecture, enterprise intelligence, responsible AI, and AI governance. AJRA helps public- and private-sector organizations develop the strategies, architectures, governance structures, and organizational capabilities required to adopt and scale AI responsibly.

Dr. Anthony J. Rhem is an internationally recognized AI and knowledge management consultant, researcher, author, educator, and advisor with more than three decades of experience in artificial intelligence, enterprise architecture, information systems, and digital transformation.

About the Knowledge Management Institute

The Knowledge Management Institute is a global provider of knowledge management education, professional development, and certification. KMI provides practical programs designed to help professionals and organizations strengthen knowledge-sharing capabilities, improve organizational performance, and apply knowledge management principles to emerging business and technology challenges.

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