SYSTEMS LAB / AUTOMATION
Make the decision path visible.
This planned collection will explore how automation and AI can support defined operational tasks. No functioning demonstrations are available here yet. Future examples should show the task, the inputs, the controls, and the conditions requiring human review.
Understand the mechanism
Rule-based automation follows specified conditions. AI-assisted processing introduces probabilistic outputs that require evaluation in context. Examples should distinguish these mechanisms rather than treating every automated action as artificial intelligence.
Inspect the boundaries
A useful demonstration explains what the system can process, what it cannot reliably determine, and how errors are handled. Sample data, approval steps, escalation paths, and evaluation methods should be documented before any example is presented as suitable for operational use.
Technology Solutions & Business Services