Agentic workflows make exception design more important
Automation handles the normal path. Agentic workflows raise the stakes around exceptions, recovery and the moment a person must take control.
Concise analysis of software decisions, operating questions and implementation trade-offs. This focused collection applies the format to operations technology decisions.
Automation handles the normal path. Agentic workflows raise the stakes around exceptions, recovery and the moment a person must take control.
Decisions about supply chain visibility improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about enterprise asset management improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about enterprise service management improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Workflow automation works best when it removes predictable coordination. It becomes fragile when every unusual case is forced through the same path.
Decisions about robotic process automation improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about quality management systems improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about change management tooling improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about operations analytics improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about low-code platforms improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about capacity planning improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about inventory planning improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about process mining improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about knowledge operations improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about project operations improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about field service platforms improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about workflow automation improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
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