Research papers
Research papers
and working papers
Our research explores how organizations can preserve coherence, make better decisions and adapt faster in the age of AI.
Research paperToward Organizational Correspondence: A Conceptual Model for Diagnosing Cognitive Integrity in AI-Native OrganizationsOrganizations increasingly think, decide, remember, and act through evolving networks of persistent representations: strategies, decisions, policies, plans, models, work products, AI-generated recommendations, operational traces, outcomes, and organizational memory.View paper Research paperCognitive Integrity: Preserving Organizational Cognition in AI-Native OrganizationsAI-native organizations increasingly create, interpret, and act through persistent networks of human- and AI-generated representations.View paper Research paperCorrespondence Architecture: Preserving Organizational Cognition in AI-Native OrganizationsAI-native organizations increasingly create, transform, and act through representations generated by humans, AI systems, automated workflows, and external platforms.View paper Research paperCorrespondence Assessment: Warranted Judgment About Representation-Network Correspondence in AI-Native OrganizationsOrganizations increasingly make decisions from representations assembled, maintained, summarized, and interpreted by both people and AI systems.View paper Research paperMeasuring Organizational Correspondence: Representation-Network Measurement for AI-Native OrganizationsOrganizations increasingly depend on networks of representations through which intent, decisions, work, evidence, outcomes, learning, and governance become available for coordinated action.View paper Research paperAI-Native Organizational Architecture: A Constitutional Model for Adaptive EnterprisesOrganizations are beginning to distribute cognition, decision preparation, execution, monitoring, and learning across humans and AI agents.View paper Research paperExecutive Operating Experiences: Designing Conversational Operating Systems for AI-Native OrganizationsExecutives increasingly encounter organizations through AI-mediated summaries, dashboards, assistants, analytic systems, workflow records, and conversational interfaces.View paper Research paperOrganizational Knowledge Kernels: A Foundational Runtime for AI-Native OrganizationsAI-native organizations increasingly rely on human actors, AI agents, software systems, routines, and governance mechanisms to retrieve, interpret, project, decide from, and revise organizational knowledge.View paper
Research that connects theory,
evidence and real-world impact.
Our work is designed to advance understanding and help organizations build the intelligent, adaptive capabilities required to thrive in the age of AI.
Explore our researchRigorous
Built on strong theory, robust methods and peer-reviewed standards.
Relevant
Focused on the real challenges leaders face today.
Actionable
Designed to inform better decisions and better systems.
Cumulative
Building a growing body of knowledge that compounds over time.
