Research
AtlasSupport research treats AI adoption as an operating decision: which workflow should be tested, which data can be trusted, and which controls are needed before agents or automation scale.
AI Adoption Through Transaction Cost Economics
A research note on how transaction costs help explain when firms should outsource, internalize, or agentize AI-enabled work.
AI PoC as Real Options: Small Experiments and Investment Decisions
A management research note on treating AI proof-of-concept work as staged investment under uncertainty.
RAG and Organizational Memory: Internal Search as Knowledge Management
A research note on how RAG systems can be understood through organizational memory, knowledge ownership, and retrieval design.
AI Agents and the Principal-Agent Problem
A research note on delegation, monitoring, incentives, and accountability when AI agents act on behalf of people and firms.
Workflow Automation and Capabilities: Turning AI Into an Operating Ability
A management research note on why AI automation becomes durable only when it is absorbed into routines, roles, and organizational capabilities.