Cube RM Agents are AI and can make mistakes

Cube Agents are AI-powered and can produce responses that are inaccurate, incomplete, or outdated. Always double-check important information before acting on it.

Cube RM’s AI Tender Agents use large language models and machine learning to assist with tender discovery, document analysis, pricing, strategy, and response preparation. While these agents are designed to be accurate and helpful, they are subject to the inherent limitations of current AI technology.

What this means in practice

In an effort to provide useful assistance, Cube Agents can occasionally produce outputs that are:

• Inaccurate — factual errors in data interpretation, pricing figures, or competitive intelligence
• Incomplete — missing requirements, overlooked tender conditions, or gaps in document extraction
• Outdated — referencing historical data that may no longer reflect current market conditions
• Misattributed — associating information with the wrong tender, lot, product, or competitor

This is a known characteristic of AI systems broadly, not a defect specific to Cube RM. The agents are continuously improved as the platform evolves, but no AI system should be treated as infallible.

Your responsibility

Users should not rely on Cube Agents as a sole source of truth for commercial decisions. All agent outputs — including pricing recommendations, compliance assessments, strategic advice, and drafted responses — should be reviewed and validated by qualified team members before submission or action.

This is especially important for:

• Pricing decisions and bid amounts
• Compliance and eligibility assessments
• Tender response content submitted to procurement authorities
• Strategic recommendations that affect commercial positioning

How to get the best results

Cube Agents perform best when provided with complete, structured input data. Incomplete tender records, missing lot details, or ambiguous product mappings increase the likelihood of errors. Investing time in data quality at the start of each workflow significantly improves the accuracy of downstream outputs.

Reporting issues

If an agent produces a response that is clearly incorrect or misleading, you can use the thumbs down button on any agent response to flag it for review. This feedback directly informs how we improve the agents over time.

For questions about agent accuracy, data quality, or to report a recurring issue, contact us at [email protected] or reach out to your Customer Success Manager directly.