Research intelligence
Long-horizon research tracing the organizational, managerial and technological foundations that shape Enterprise AI Transformation.
Three decades of process redesign and enterprise systems show why AI transformation fails when organizations automate inherited work instead of redesigning the operating system around outcomes, evidence and authority.
Reengineering, ERP and Automation: lessons AI transformation should not repeat Read More »
A 2021–2026 technology genealogy showing how foundation models became managed enterprise agent systems through retrieval, tools, workflows, interoperability, identity, governance, telemetry and evaluation.
Foundation Models to Enterprise Agents, 2021–2026 Read More »
A retrospective research note on sociotechnical systems, joint work design and why enterprise AI outcomes depend on the configuration of people, technology, roles and operating conditions.
AI expands what organizations can retrieve, compare and model. It does not remove bounded rationality. It changes where the bounds sit—and makes decision architecture more important.
Bounded Rationality to AI Decision Support: what changed and what did not Read More »
A retrospective research note tracing how work design, bounded rationality, sociotechnical systems, organization design, process reengineering and foundation models converge in today’s enterprise AI transformation problem.
From Scientific Management to Human–AI Work Systems Read More »
