When autonomy expands before operating capability, small workflow gaps can become enterprise risk.

Name the risk hidden by a successful demonstration

A demonstration may show that a model can complete a selected task under favourable conditions. It does not show whether evidence arrives on time, handoffs are understood, exceptions reach the right reviewer, or a consequential action stays within its authority limit.

Write the risk as a workflow statement rather than a technology slogan: if this recommendation is late, wrong, or unsupported, which decision changes, who encounters the consequence, and what signal would reveal the problem before it spreads?

• Separate task performance from workflow fitness.
• Make uncertainty and escalation visible before relying on automation.
• Define what evidence would justify a broader operating decision.

Clarify the workflow, roles, and authority

Map the work from trigger to decision: tasks, evidence sources, roles, handoffs, exceptions, authority limits, and reversal points. Then mark who may recommend, approve, execute, pause, or escalate each consequential step.

This map exposes capability gaps that model tests miss. A team may have strong technical skills while using different definitions, relying on evidence no reviewer can inspect, or assuming that another role will catch an exception.

• Observe coordination, not only individual tool use.
• Treat handoffs and escalations as part of the design.
• Give management responsibility a visible place in the workflow.

Rehearse controlled scenarios and review the evidence

Build scenarios around the mapped failure points: incomplete evidence, conflicting definitions, a delayed handoff, or a request beyond authority. Ask participants to decide, explain their evidence, and show when they would pause or escalate.

Review observations against the scenario conditions, not against a general label of readiness. Record what was demonstrated, what remained ambiguous, and what additional operating evidence would be needed for a broader decision.

• Use synthetic scenarios to examine selected judgements safely.
• Record the limits of every observation.
• Translate evidence into proportionate next steps, not universal conclusions.

Make a staged scope decision

Choose among a narrower rehearsal, targeted role development, stronger evidence collection, a limited pilot, or no expansion. Record the scope, expected benefit, evidence basis, authority limit, review point, and reversal condition for the selected step.

A staged decision makes learning visible without treating one exercise as proof of operating readiness. Expansion remains conditional on evidence from the relevant workflow and on the team’s ability to recognize and manage exceptions.