The phrase 'human in the loop' gets used so often that it can stop meaning anything. In business continuity, the useful version of that idea is simpler: automation should improve speed and structure, but people must still own judgment.
AI can help continuity teams in legitimate ways. It can reduce the cost of scenario preparation. It can improve consistency in reporting. It can make it easier to identify missing assumptions and cross-functional dependencies. Those are meaningful gains.
Where the human lead still matters
Continuity decisions are rarely just technical. They involve tradeoffs across operations, communications, legal exposure, customer impact, and executive tolerance for risk. Those decisions depend on context that is hard to generalize and dangerous to automate away.
A better operating model
- Use AI to accelerate setup, structure, and documentation.
- Keep facilitators and program owners accountable for exercise framing and escalation judgment.
- Make decision trails visible so leadership can evaluate not only outcomes, but reasoning.
- Treat AI as an operating aid rather than a substitute for ownership.
Why this matters for exercises
Tabletop exercises are the right place to test this balance. They show whether teams are using automation to improve clarity or simply to move faster without stronger governance.
The future of continuity will involve more AI assistance. The better question is whether the program design keeps leadership, ownership, and judgment where they belong. That is what human-led should mean.