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.
Workflow, service delivery, automation, procurement and process design. Practical guidance for evaluation, implementation, governance and day-to-day operation.
Automation handles the normal path. Agentic workflows raise the stakes around exceptions, recovery and the moment a person must take control.
Read the lead insightAutomation handles the normal path. Agentic workflows raise the stakes around exceptions, recovery and the moment a person must take control.
Agent platforms increasingly promise access to actions across systems. Buyers need to test permissions, orchestration, audit trails and safe rollback.
Autonomous operations depend on bounded actions, trusted data, clear service ownership and an escalation model that survives real pressure.
Process mining is moving from discovery toward a source of context for agents that monitor, recommend and act across workflows.
A workshop template for mapping the cases that break normal automation and deciding how agents, systems and people should respond.
A qualitative maturity model for teams progressing from scripts and copilots toward orchestrated, controlled operations.
Decisions about workflow automation 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.
Decisions about workflow automation improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
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 process mining 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.
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 capacity planning 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 capacity planning 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 capacity planning 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 change management tooling 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 change management tooling improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
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