Workforce Engineering
The AI Employee Factory
A practical framework for commissioning, supervising, evaluating, and governing fleets of digital workers across an organization.
Moving from a single AI experiment to a durable operational portfolio requires a systematic approach to commissioning. When underlying models, frameworks, and tools change weekly, organizations need stable definitions of identity, responsibility, authority, and evidence.
This book provides the commissioning blueprint: how to define operating units, separate organizational records from execution engines, establish authority boundaries, inspect evidence for stewardship, and manage the full employee lifecycle from probation to retirement.
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Key Topics Covered
Name the Operating Unit
Separate identity and ongoing responsibility from the underlying model, framework, or runtime harness.
Commissioning & Authority
Establish clear boundaries: what the worker may do autonomously, what requires human approval, and what is prohibited.
Evidence for Stewardship
Implement evaluation patterns that measure continuous stewardship over time rather than isolated successful tasks.
Lifecycle & Fleet Governance
Manage the operational lifecycle of AI workers—commissioning, performance tracking, pausing, updating, and retiring.