EII Working Groups
Enterprise Intelligence Institute Working Groups bring together approved practitioners, researchers, academics, executives, technologists and subject-matter experts to develop, challenge, validate and mature the emerging science and professional practice of Enterprise Intelligence.
Active Working Groups
Foundations, Governance and Terminology
To establish the foundational terminology, governance principles, and conceptual framework for the discipline of Enterprise Intelligence.
Digital Biomarkers and Measurement
To develop the measurement science and digital biomarker framework for evaluating the health, behavior, and impact of AI and enterprise intelligence systems.
Research and Validation
To establish the research and validation methodology for Enterprise Intelligence, ensuring that claims are evidence-based and rigorously tested.
Clinical Cybersecurity Framework Standards
Mission Readiness Assessment
EII Clinical Intelligence Research Lab™
Advancing the science and practice of Clinical Thinking for the modern enterprise.
Advancing the science and practice of Clinical Thinking for the modern enterprise.
Enterprise Success Framework Working Group
Researching how enterprises convert purpose, capability and intelligence into sustainable success.
The Enterprise Success Framework Working Group brings together executives, practitioners, researchers, academics and organizational leaders to investigate how enterprises translate purpose, people, capabilities, intelligence, technology, resources and relationships into sustainable stakeholder value and mission outcomes.
Forming Working Groups
These Working Groups are being established. They are not yet formally active unless EII administration explicitly changes their status.
EII University Degree Authorization
Enterprise Digital Wellness & Trust Working Group
Evidence-Based Trust for the Intelligent Enterprise
Determine whether Digital Trust can be understood as justified confidence that an enterprise's digital capabilities, information, intelligent systems, people, and decision structures will operate with integrity, accountability, resilience, and mission alignment under changing conditions.
Clinical Decision and Coordination System Working Group
Disciplined judgment. Coordinated action. Continuous readiness.
The EII CDCS Working Group brings together practitioners, leaders, researchers, and educators to develop, review, pilot, release, teach, and improve the Clinical Decision and Coordination System — a shared operating framework for disciplined enterprise judgment and coordinated action.
AI & Enterprise Intelligence
To develop the frameworks for understanding and governing autonomous and agentic AI systems within the enterprise.
Research Workstreams
Each Working Group may contain multiple research workstreams focused on specific research questions within the group's scope.
A clear academic identity
Research and Validation
Design research studies, pilot programs, validation protocols, and continuous-improvement feedback loops.
Organizational Adoption and Exercises
Build the fast-adoption center, starter kit, adoption plans, tabletop exercises, and implementation guides.
Assessment and Certification
Develop certification pathways, assessment rubrics, assessor qualifications, and governance for credential issuance.
Training and Curriculum
Design the training catalog, course outlines, learning objectives, delivery modes, and curriculum architecture.
Clinical Thinking and Decision Tools
Build the seven-step clinical thinking cycle, emergency pathway, decision tools, templates, and checklists.
Framework and Doctrine
Develop the canonical framework sections, terminology, operating roles, decision rights, and foundational doctrine.
Clinical Thinking Methodology
Enterprise Intelligence Terminology and Concept Definition
Establishing the foundational vocabulary for Enterprise Intelligence as a professional discipline, including core concepts, definitions, and the relationships between terms. This workstream produces the canonical terminology that all other EII Working Groups reference.
"What constitutes Enterprise Intelligence as a distinct professional discipline, and what core terminology defines it?"
Foundations & Terminology
Measurement Science
Governance Principles for an Emerging Interdisciplinary Field
Defining the governance principles that guide how Enterprise Intelligence is established, evolved, and maintained as a discipline. Covers contribution governance, evidence standards, provenance requirements, and the lifecycle of concepts from exploratory research through approved standards.
"What governance principles should guide the development of an emerging interdisciplinary professional field?"
Enterprise Wellness
Agentic AI, Agent Provenance & Rogue Behavior
Investigating how enterprises can establish and track the identity, provenance, authority, lineage, behavior, location, and enterprise impact of autonomous and agentic AI systems.
"How can an enterprise establish the identity, provenance, authority, lineage, behavior, location and enterprise impact of autonomous and agentic AI systems?"
Human and AI Judgment
Stakeholder Value & Customer Success
Clinical Cybersecurity
Leadership, Workforce & Human Systems
AI Governance and Assurance
Operations & Execution
Clinical Intelligence Model Evaluation
Enterprise Intelligence & Learning
AI & Human-AI Enterprise Success
Education and Professional Practice
Enterprise Wellness & Success Relationship
Sector Profiles
Pilot & Validation
Latest Working Group Updates
Public milestones and progress announcements from active Working Groups.
EII Clinical Intelligence Research Lab™ Established
The Enterprise Intelligence Institute has established the Clinical Intelligence Research Lab as a governed, AI-enabled research environment for applying Clinical Thinking to Enterprise Wellness, resilience, intelligence and Mission Readiness. The Lab operates under the governing principle: AI may analyze, challenge and recommend. Humans retain judgment, authority and responsibility.
The Lab is now accepting applications from qualified EII members. Seven initial research workstreams have been defined spanning Clinical Thinking Methodology, Enterprise Wellness, Human and AI Judgment, Clinical Cybersecurity, AI Governance and Assurance, Clinical Intelligence Model Evaluation, and Education and Professional Practice. Three initial research initiatives have been launched.
Appointment of working group leadership by EII administration and the Executive Director, followed by the initiation of contributor applications review.
Initiative Launched: Clinical Thinking and Human Judgment in the Age of AI
This initiative examines how Clinical Thinking can be applied to enterprise conditions in an era of AI assistance, ensuring that human judgment, authority, and accountability are preserved while leveraging AI's analytical capabilities. It addresses the fundamental question of how AI can support human analysis without replacing human responsibility.
The initiative will produce research on the Clinical Thinking process as applied to enterprise conditions, examining the relationship between human judgment and artificial intelligence across multiple workstreams including Clinical Thinking Methodology and Human and AI Judgment.
Development of the research protocol and identification of the principal investigator.
Initiative Launched: Defining the Vital Signs of Enterprise Wellness
This initiative researches the indicators, vital signs, and assessment methods that determine the health and Mission Readiness of an enterprise. It builds the foundation for Enterprise Wellness measurement, enabling organizations to assess and monitor their intelligence, resilience, and readiness.
The initiative will produce a framework for Enterprise Wellness vital signs, including definitions, measurement methods, and assessment instruments that organizations can use to evaluate their health and Mission Readiness.
Literature review and identification of candidate vital signs indicators.
Initiative Launched: Evaluation Framework for the EII Clinical Intelligence Model
This initiative develops the framework for evaluating isolated or privately deployed language models against EII-approved Clinical Thinking methods, cases, and benchmarks. It ensures that model evaluations are rigorous, auditable, and preserve the evidence, output, review decision, and audit trail needed for responsible evaluation.
The initiative will produce an evaluation framework including benchmark cases, evaluation criteria, and model evaluation record templates. All model activity will be auditable, and every formal model-assisted assessment will include a human reviewer and decision owner.
Definition of evaluation criteria and development of initial benchmark cases.
Initial Concept Model Developed
The concept model is the first formal articulation of Enterprise Intelligence as a discipline. Validating it through expert review ensures the terminology and governance principles are sound before they are adopted across other EII Working Groups.
The Working Group has produced an initial concept model defining Enterprise Intelligence, its core terminology, and the governance principles that guide the discipline. The model identifies the relationship between enterprise condition, enterprise outcomes, and the intelligence that connects them.
Expert review of the concept model and terminology framework, followed by pilot application in adjacent Working Groups.
Contributor Opportunities
EII Working Groups seek original contribution, professional experience, independent research, evidence, technical expertise and accountable professional judgment. Responsible AI assistance is permitted where authorized and disclosed, but AI-generated answers alone do not constitute subject-matter contribution.
Contributors Needed: Agentic AI, Agent Provenance & Rogue Behavior
"How can an enterprise establish the identity, provenance, authority, lineage, behavior, location and enterprise impact of autonomous and agentic AI systems?"
We seek contributors with experience in autonomous AI systems, agent identity, provenance tracking, enterprise security architecture, and observability platforms. Original research, field observations, case evidence, and measurement models are particularly welcome.
Expert Reviewers: Enterprise Intelligence Terminology Framework
"What constitutes Enterprise Intelligence as a distinct professional discipline, and what core terminology defines it?"
The WG-100 Terminology Framework has reached the expert review phase. We are seeking practitioners and academics with experience in standards development, terminology governance, or interdisciplinary field-building to review the initial concept model and provide feedback on definitions, relationships, and governance principles.
EII Working Groups are contribution environments. Membership alone does not guarantee participation. Sponsorship does not create Working Group authority. Commercial relationships do not create Working Group authority. Working Group participation is based upon contribution, expertise, relevance and EII governance.
Join the Working Groups
EII Working Groups are contribution environments. Membership alone does not guarantee participation. If you have expertise, research, evidence, or original ideas to contribute, apply to join a Working Group.