Find the right use case. Check it before you automate.
For operations and supply-chain professionals who want AI grounded in how decisions actually get made: start from a public decision library, run readiness checks on the workflow and its data, and study the educational prototypes and public source that back each use case.
A public decision library maps what an agent may and may not own.
The map connects each operational decision to the trade-off it carries, the person who owns it, and the point where an agent's authority must stop. Data and systems lenses make the same decision visible from different angles. Find your use case here — before you pick a tool.
Not sure if a workflow is ready to automate?
The free checklist walks you through four gates — workflow boundaries, data readiness, visible failure modes, and the human review step — so you can tell whether you are solving an automation problem or a process and data problem first.
Email signup · double opt-in confirmation required — the checklist is delivered to your inbox.
Useful work leaves an artifact a human can inspect.
Assess a workflow with the browser-only readiness canvas, consult the agent field guide, and inspect the source behind the examples. These educational tools and references help you test an approach; they do not automate your operations.
Agent readiness canvas
Eight practical checks in a browser-only prototype — inspect the source and run the same gates on your own workflow.
Hermes Agent field guide
How dependable agents are configured and verified: tools, skills, scheduled work, and a clear review path.
Inspectable source
Public repositories behind the lectures, pages, and prototypes — read the code, not just the claims.
Deepen a path, or verify the claims directly.
AI in Operations
Use agents where workflows are bounded, reviewable, and connected to real operational decisions.
Lecture archive
Structured learning paths across operations, analytics, and AI for self-paced study.
Topics hub
The public pillars behind this site, plus the GitHub proof artifacts that back each one.
Frank Kienle — practical AI, analytics, and operations.
I combine digital operations leadership grounded in enterprise execution with the teaching material I built as a university lecturer. Everything here is public, educational, and evidence-led: the decision library, the working prototypes, and the source behind them.
Personal educational content by Frank Kienle. Views are personal. Examples are based on public, educational, historical, or synthetic material unless stated otherwise. No employer-confidential, customer-confidential, or supplier-confidential information is shared.