Traditional business continuity and disaster recovery programs were built around a more predictable system boundary. Teams could usually map the environment, define a set of plausible failure events, and maintain a fairly stable playbook for escalation and recovery. That model is under strain.
AI does not replace continuity fundamentals, but it changes the operating environment around them. Processes are moving faster. Decision support is appearing in more places. Dependencies are becoming less obvious to the people accountable for risk.
What changed
The first change is speed. When workflows are assisted by automation or AI-driven tooling, the pace of failure can accelerate along with the pace of normal operations. Small issues can become business events before governance routines catch up.
The second change is opacity. Teams often inherit AI-enabled services, vendors, and internal workflows without fully understanding the assumptions those systems introduce. That makes scenario design harder if the continuity program is still framed only around infrastructure outages and manual workarounds.
What to update in the playbook
- Revisit dependency mapping and identify where AI-assisted systems influence operations, decisions, or communications.
- Stress assumptions about data lineage, model outputs, and human override paths during exercises.
- Treat communications, legal review, and executive escalation as core continuity functions rather than downstream tasks.
- Capture evidence in a way that shows how judgment was applied, not just which systems were affected.
Why tabletop exercises matter here
Exercises are one of the fastest ways to reveal whether a continuity playbook reflects the real operating model. They show where teams depend on undocumented knowledge, where decision rights are unclear, and where AI-enabled tools create confidence without real control.
The continuity playbook for 2026 should still respect recovery discipline. It just needs to reflect a more dynamic environment and a wider set of failure interactions than older programs assumed.