Law.com Maps a Comms Playbook for Crises Started by AI Agents

Law.com has published a playbook for a problem most communications teams have not planned for: a crisis that starts when an AI agent, not a person, says or does the wrong thing in public.

The piece, titled "When AI Agents Trigger a Crisis: The New Communications Playbook," addresses a gap that is widening as companies deploy autonomous and semi-autonomous tools in customer-facing roles. An agent that drafts replies, executes transactions or answers questions at machine speed can also generate errors, misstatements and reputational damage at the same speed.

What the article does not offer is case data. It names no specific incident, no company and no measured financial fallout. That absence is itself telling. Legal and communications practitioners are writing the guidance before the body of documented failures exists, which means readers should treat the recommendations as preparatory doctrine rather than lessons learned.

What changes for communications teams?

The core shift is speed and authorship. Traditional crisis response assumes a human made a decision that leadership can explain, correct and, if necessary, disown. An AI agent complicates that chain. The system acted, the company must still answer for it, and the gap between what the machine did and what the organization intended becomes part of the public story.

For practitioners, the practical questions follow quickly:

• Who speaks when the actor was software?
• How fast can a team verify what an agent actually said or did?
• Which disclosure obligations apply when autonomous tools produce the offending output?

The Law.com framing suggests the legal and communications functions cannot work these problems separately. Liability, disclosure and messaging now arrive in the same incident, on the same timeline.

A playbook ahead of its evidence

Skepticism is warranted here. Vendor and advisory literature on AI risk tends to promise readiness while selling the tools that create the exposure in the first place. Law.com's contribution sits in the legal trade press rather than a vendor white paper, which gives it more standing. But a playbook written before widely publicized agent-driven crises have accumulated cannot be tested against how organizations actually behave under that pressure.

What the piece does establish is that the question has moved from speculative to operational. Communications leaders who last year could dismiss AI-agent incidents as hypothetical now face vendors shipping agentic features into production environments. The exposure is arriving whether or not the playbook is finished.

The caution for readers: guidance published at this stage reflects expert judgment, not precedent. Teams should adapt it to their own deployment footprint, audit what customer-facing agents can currently say or do, and pressure-test their escalation paths before an incident supplies the missing case studies.

The lesson is simple. The agents are already in the room; the playbook is being written around them.