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Agents act on whatever is written down.

What goes wrong when agents work from out-of-date documents, and how AgentDoc gives each fact an owner.

1:41 · Voice-over with captions
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  1. In April 2026, an AI agent deleted a startup's database and its backups in nine seconds. The business was down for thirty hours.
  2. It didn't malfunction. It was missing a fact, so it guessed. Asked why, it said: "I guessed... I didn't verify."
  3. Agents are only as reliable as what they read. Company knowledge goes stale, and often nobody owns it.
  4. At large companies, 40% of those surveyed say they're scaling agents, up from 27% last year. Every new agent reads the same documents.
  5. AgentDoc makes the facts your agents rely on as checkable as code. Each one becomes a claim with a status, and verified claims carry an owner and evidence.
  6. On every proposed change to the code, AgentDoc flags the facts it touches and names their owners. It can draft an update, but nothing becomes verified without a human.
  7. So out-of-date facts get flagged in review, before the change ships. And every edit to a fact leaves a record.
  8. This isn't a one-time cleanup. Every time an agent looks something up, it sees who owns the fact and whether it's verified. Facts past their expiry date turn stale. Without it, agents go back to guessing.
  9. Most guardrails add cost. This one cuts it. When agents read a dozen verified facts instead of every document, each agent task costs up to 30% less.
  10. AgentDoc. The bridge between your team's knowledge and the agents acting on it.

Sources

  1. The database deletion, April 2026: an AI coding agent deleted a startup's production database and its backups. The agent's reply is shortened in the film. Startup Fortune (opens in a new tab), Mondoo (opens in a new tab)
  2. McKinsey, The state of AI in 2026, August 25, 2026: "Forty percent of respondents from large organizations [...] report scaling AI agents, up from 27 percent last year." Large means more than $1 billion in annual sales. McKinsey survey (opens in a new tab)
  3. Up to 30% less per agent task: AgentDoc internal benchmark on our own production repository.

The product views in the film are illustrations.