Published
A practical guide to evaluating agentic operations
Agentic AI changes both what work gets done and who owns execution. That makes the decision to build or buy about more than technology selection.
To move from pilots to performance, enterprises need redesigned workflows, clear accountability, agent-native metrics, human oversight, and governance built in from day one.
This guide helps senior leaders evaluate agentic AI through an operations lens: where to build, where to buy, what it will really cost, and whether the organization is ready to turn AI agents into trusted participants in enterprise workflows.
What you'll find inside:
Build vs. buy decision matrix: Score priority workflows across six dimensions, including foundation readiness and governable autonomy readiness
Total cost of ownership framework: Identify hidden cost drivers such as integration, escalation design, accountability, agent-native measurement, workflow redesign, and workforce transition
Readiness self-assessment: Test whether your organization has the process maturity, cross-functional alignment, governance, and workforce clarity needed to scale
Move from agentic AI experimentation to governed, measurable execution.
