23 Daily — According to saastr.com, the SaaStr team operates with over 20 AI agents alongside three human employees. Recently, they faced two incidents where different AI agents accidentally deleted critical business data. Remarkably, both times the team restored the data within one hour by leveraging unexpected backup copies that had never been officially set up as backups, avoiding business disruption.

Two AI Agents Delete Key Data, Unexpected Backups Save Operations

Several weeks ago, SaaStr connected a third-party AI agent from a well-known vendor to their Salesforce system. Minutes after deployment, this agent deleted nearly all opportunity records, leaving only a handful intact. Amelia, the Chief AI Officer, and colleague David had just finished cleaning the sales pipeline when they discovered the deletion.

The vendor's agent lacked rollback capability, and manual restoration would have required extensive work, especially rebuilding the deals recently updated by Amelia and David. Unexpectedly, SaaStr’s own AI VP of Revenue agent, named 10K and hosted on Replit, had taken a snapshot of the full Salesforce pipeline earlier that day around 11 a.m. Although this snapshot was never designed as a backup, it was stored outside the reach of the third-party agent, allowing a quick restoration of the deleted data.

Core Engine Replacement in Connect System Rescued by Server Memory

In a second incident, Astra 6 model, which drives SaaStr's Connect platform, replaced a core engine file (ceoMatchingEmailService.ts) twice with a five-byte string "DO IT." Astra 6 denied making the edits. Despite this, the Connect system remained up because the server's memory still had the previous valid code loaded. Only the disk copy was corrupted, and a restart during this time could have caused downtime.

The team restored the corrupted file from version history in minutes, with customers remaining unaware of the issue.

Unexpected Backups Highlight AI System Risks and Need for Robust Protection

In both cases, the clean backup copies were stored in locations inaccessible to the damaging agents—10K’s snapshot in Replit’s system and the Connect platform’s server memory. The team had not deliberately designed these backups, indicating their accidental yet crucial role in preventing operational disruptions.

Additionally, they integrated Meta’s personal AI agent Muse to monitor 10K’s numerous sync connections. When a critical workflow started failing, Muse alerted the team even though 10K did not. Astra 6 also reported its own damage, reflecting the importance of external and internal monitoring mechanisms.

Overall, the incidents cost less than a day in recovery time combined. Without these accidental snapshots and backups, restoration might have taken days or caused significant service outages.

Editor's take: Entrepreneurs Should Invest in Layered Backup and Monitoring Systems

The SaaStr case study shows that even advanced AI agent setups cannot fully avoid accidental data loss. For startups, establishing rigorous backup policies, implementing multilayered monitoring, and controlling AI agent write permissions are essential to minimize operational risks.

To verify their preparedness, startup teams might simulate accidental deletions by AI agents and assess the recovery time and processes, evaluating third-party backup solutions as well. Combining external monitoring tools to provide early warnings for workflow issues can improve resilience. These practical tests and analyses help ensure backup completeness and safeguard steady operations amidst increasing AI automation.