Essays
Essays on AI and operations
Decision frameworks and practice notes on agents, operating models, governance and managed delivery.
Agents by Business Function AI agents in operations: responding is not operating AI agents in operations, separated from demo-ware: the difference between an agent that answers and one that operates with permissions and traceability. Implementation Prepare your company for AI agents: processes, data and ownership How to prepare your company for AI agents: processes written down, data made reachable, an authorized owner and the first 90 days. Implementation Why do enterprise AI pilots fail? Why enterprise AI pilots fail: a category error in what was bought, pilots without an owner, clean-data demos, and success defined as a demo. Governance & Risk AI agent governance: designing for the day the agent gets it wrong AI agent governance by design: permissions, action limits, traceability, human review and controls adapted to the operation. Buying Decisions Buy AI, build it or contract the outcome: how to decide Buy, build or contract AI as a service: choose according to the operation, available team and responsibility you want to retain. Buying Decisions In-house team, consultancy or forward-deployed engineers: how to decide In-house team, consultancy or forward-deployed engineers: who maintains the AI, owns the operation and fits each delivery model. Buying Decisions How to measure the ROI of AI in operations AI operations ROI measured as cost per operated process: where agents pay off in high-volume back-office work and why pilot numbers do not transfer. Vision & Strategy An AI-first organization is not a company that uses AI tools What an AI-first organization is: three levels, from tools to operating model, and why most companies stop at the first one. Vision & Strategy Agentic product development: what changes when agents build the software Agentic product development explained by a practicing CPTO: cycle time, lower adaptation cost and where human judgment concentrates. Vision & Strategy The operating model as code: executable rules and exceptions Operating model as code: your processes, rules and exceptions codified and executed by agents, why it must be custom, and what the first mover gains.