Prevent hallucinated actions in workflow agents

Agents generating operational actions, tickets, or tasks can hallucinate details like discounts, opening hours, or user data. Tests and guardrails catch these failures before they reach customers.

What's at stake

  • Workflow agents create tickets, schedule tasks, and generate operational records
  • Hallucinated details (wrong prices, invented schedules, fabricated customer data) become official records
  • Customers act on this information—booking appointments that don't exist or expecting discounts that were never offered
  • Correcting hallucinated actions is expensive and damages trust
  • Enterprise customers require evidence that your workflow automation is accurate and verified

How to solve this

Workflow agents don't just generate text—they create records, tickets, and tasks that drive real operations. When an agent hallucinates a detail, that fabrication becomes part of your business record.

The challenge is that hallucinations look exactly like accurate outputs. An invented discount code looks like a real one. A fabricated appointment slot looks like an actual availability. The agent presents both with equal confidence.

The solution is to verify agent outputs against ground truth before they execute. Prices should match your pricing database. Schedules should match actual availability. Customer details should match verified records. Every output that becomes an operational record must be validated.

How Superagent prevents this

Superagent provides guardrails for AI agents—small language models purpose-trained to detect and prevent failures in real time. These models sit at the boundary of your agent and inspect inputs, outputs, and tool calls before they execute.

For workflow accuracy, Superagent's Verify model checks agent outputs against your business rules and data sources. Before a ticket is created, a task is scheduled, or a record is generated, Verify validates that the details are accurate and consistent.

Verify catches common workflow hallucinations: invented discounts, incorrect pricing, fabricated schedules, mismatched customer data. When a hallucination is detected, the action is blocked and the agent receives feedback to correct the output.

Beyond real-time verification, Superagent's Adversarial Tests probe your workflow agents with scenarios designed to trigger hallucinations. Tests identify which prompts and contexts lead to fabricated outputs, so you can address the root cause before customers encounter failures.

Related use cases

Ready to protect your AI agents?

Get started with Superagent guardrails and prevent this failure mode in your production systems.