## The world changed faster than our playbooks did.
Traditional business continuity and disaster recovery frameworks were built for a world of physical data centers, human-driven decisions, and predictable failure modes. But today’s operational landscape includes something new: AI inside the critical path.
AI is now integrated into incident response, customer service, supply chain decisions, threat detection, executive operations, even crisis communications. That means BCP and DR programs can no longer ignore AI systems or treat them as “nice-to-have enhancements.”
## They’re dependencies.
Which means they’re risks.
Which means they must be part of the continuity architecture.
Security and resilience vendors are starting to respond. We’re seeing new solutions for things like Cloud Resilience Posture Management (CRPM) and AI model risk management as tangible proof that the industry recognizes AI as an operational surface that needs guardrails, observability, and recovery plans.
But most continuity programs haven’t caught up.
## At Qinsay, we think BCP must evolve in three major ways:
### 1. Tabletop scenarios must incorporate AI failure modes
What happens if the AI summarizer is wrong?
If the model is down?
If an API is throttled during an outage?
If an agent hallucinates instructions?
If the detection model is compromised?
### 2. Recovery plans must include AI models and pipelines.
Backups aren’t enough. Organizations need validated restore processes, drift detection, model rollback procedures, and documented failover paths for AI services.
### 3. Response workflows must account for AI-human collaboration.
AI isn’t replacing responders. It’s augmenting them. BCP/IR plans should define boundaries, review requirements, handoff points, and AI-safe communication playbooks.
This is exactly why we built TabletopOne to generate scenarios that can test these capabilities.
The BCP playbook is overdue for an upgrade. AI is changing how incidents unfold and that means resilience must evolve too. 2026 will belong to organizations that treat AI not just as a tool… but as part of the continuity stack.