Snovai can make mistakes. Here is what to know
Understanding how AI works helps you use it more effectively.
Why Snovai sometimes gets things wrong
Snovai uses a large language model to interpret your questions and query your ServiceNow instance. It has access to real instance data, but the way it interprets intent, constructs queries, and summarizes results can occasionally be wrong. It may query the wrong table, build a filter that is close but not exact, or omit context in a summary. For critical decisions, verify results directly in your instance.
When Snovai gets it wrong
Hallucination is when an AI model generates information that sounds correct but is not grounded in real data. Snovai is designed to minimize this through live instance queries and deep platform expertise, but it can still occur in specific situations.
The most common scenarios:
- Listing artifact names (business rules, script includes, flows) that sound plausible but were not retrieved from your instance
- Stating a record number that was not returned by a live query
- Describing script or configuration contents without having queried them
- Presenting OOB artifact names that may not exist in your version
How to protect yourself:
- Ask Snovai to open artifacts as hyperlinks before trusting a list of names
- Verify any referenced record number exists before acting on it
- Ask Snovai to query and display the actual script body before trusting described logic
- Live instance data always beats anything stated from platform knowledge
Snovai is built on Anthropic Claude with zero data retention. Anthropic's models are designed with safety and honesty as core principles. We have added additional guardrails in our system design, including read-only instance access, artifact verification rules, and record number restrictions, to reduce hallucination risk in the ServiceNow context specifically.
How to get the best results
Be specific in your questions. Instead of asking about recent incidents, ask for incidents created in the last 7 days assigned to your group. If a result looks off, rephrase your question or ask Snovai to explain what query it ran. If something seems wrong, trust your instincts and verify in ServiceNow directly.
For general context sharing, use the screenshot button in the composer toolbar. It captures your current ServiceNow window and sends it with your message so Snovai knows exactly what you are looking at without you having to describe it.
For technical troubleshooting, use the Snap Issue feature. Snap captures the full page context including field values, errors, and console output from your current ServiceNow record or form. It gives Snovai the raw technical detail it needs to diagnose a specific problem accurately rather than relying on your description of it.
Reporting an Issue
At the bottom of the Snovai sidebar, click Report an Issue next to the AI disclaimer. Describe what went wrong, optionally attach a screenshot, and submit. Every report is read by the founding team within 48 hours, not routed to a queue. You can also email support@snovai.io directly.
Accuracy is not a feature we shipped once. When a fabrication pattern is reported, we add a guardrail. When a gap is reported, we fix it. Snovai launched in May 2026. We are early, we are honest about that, and we improve every week.
Governance and Human Review
Snovai is a read-only advisor. It cannot execute changes, create records, modify configurations, or write to your ServiceNow instance under any circumstance. Every script fix, configuration suggestion, or implementation step Snovai provides requires the user to implement it manually through normal ServiceNow development controls.
All AI-assisted changes should be treated the same as any other development work. They should be reviewed by a qualified developer, tested in a non-production environment, and deployed through your organization's standard change management process. Snovai accelerates investigation and diagnosis. Human judgment and review remain in the loop for every change.
Organizations that require audit trails for AI-assisted development should document Snovai's role as an advisory tool. Snovai does not tag, log, or mark changes it suggests. That responsibility remains with the development team following their existing governance processes.