Designed review, escalation and intervention points in agent workflows.
Legal agents can organize evidence and prepare work, but professional judgement, client authority and verified legal positions cannot be delegated by interface.
A safe handoff transfers the decision, evidence, current state and bounded authority—not a transcript dump or a vague request for someone to take over.
Do not divide work into “human” and “AI” columns. Redesign tasks, decisions, authority, handoffs and learning so each role remains operable and accountable.
Effective oversight gives a prepared person the signal, authority, time and interface needed to prevent or limit a defined AI failure.
Agent systems change after release, so evidence must keep moving. Automation can collect and test signals; people remain responsible for judgement and action.
Responsible autonomy becomes concrete when a cross-functional team maps one workflow’s actions, consequences, evidence and intervention choices.
A support agent should be judged on whether it resolves the right problem safely, not on whether its first answer sounds convincing.
Classify an AI agent by what it can affect, the authority it can exercise and how quickly people can recover—not by how autonomous a demo appears.
Describe autonomy operation by operation. A multidimensional action map gives leaders a better basis for limits, oversight and release evidence than one marketing label.
Administrative agents can reduce coordination work, but clinical meaning and patient access can enter the workflow sooner than the label suggests.
A principle becomes operational only when it is translated into requirements, control owners, enforcement points, evidence and responses to failure.
An agent is not reliable if people avoid it, over-trust it or route around its controls. Adoption evidence belongs beside technical performance evidence.
KEEP EXPLORING
Read the method, assumptions and questions to ask.