At FleetUp, trust is the foundation of the systems we build. Our customers rely on us for accurate information, secure infrastructure, and dependable tools that support daily operations. As artificial intelligence becomes part of how we provide assistance and insights, that same standard of trust extends to how AI is implemented within our platform.

AI can help surface information faster, simplify complex workflows, and guide users to the right resources. At the same time, AI systems require thoughtful design, oversight, and continuous improvement. FleetUp approaches AI with a clear set of principles focused on transparency, reliability, and responsible use.

These guidelines describe how the FleetUp AI interface is designed and how it supports users within the platform.

Responsible Development

FleetUp develops AI features with a focus on practical operational use cases. Our goal is to help users access information, understand platform functionality, and navigate workflows more efficiently.

AI capabilities are introduced carefully and monitored as they evolve. Our teams monitor system performance and refine the experience as the technology evolves. This process includes testing responses, reviewing edge cases, and addressing issues when they are identified.

The FleetUp AI interface is designed to assist users by providing explanations, summaries, and guidance. It does not independently execute operational actions or make decisions on behalf of customers.

Customer Control over Data

Customer data remains within FleetUp’s platform environment and is handled according to our existing privacy and security practices.

FleetUp’s AI interface operates within the platform context and is designed to help users retrieve information from documentation, system data, and platform resources. Operational data is not shared externally through the AI interface.

FleetUp may review interactions with the AI interface in order to improve response quality, correct inaccuracies, and refine the system over time. These reviews are conducted internally by authorized teams.

Transparency

Responses generated through the FleetUp AI interface are produced by automated systems based on available information. While designed to be helpful and accurate, AI-generated responses may not always be perfect.

Users should treat the AI interface as a tool that helps locate information or clarify features.

FleetUp continues to improve transparency in how the AI interface communicates responses and guidance within the platform.

Security

FleetUp applies the same security standards to AI-related functionality as it does to the rest of the platform. These practices include protections for customer data, controlled access to systems, and continuous monitoring of the platform environment.

AI features are developed within FleetUp’s existing security framework so that they operate within the same infrastructure and safeguards used across the broader FleetUp platform.

Fairness and Responsible Use

FleetUp designs AI features to provide consistent and respectful responses to all users. Outputs are reviewed periodically to identify areas where the system can be improved.

AI systems are continually evolving, and ongoing evaluation helps refine how responses are generated and presented.

Human Oversight

Human oversight remains an important part of how FleetUp manages AI.

Internal teams periodically review AI responses, correct inaccuracies when they are identified, and update guidance so the system continues to improve. User feedback also helps identify areas where additional clarification or improvements are needed.

The AI interface is intended to assist users, while FleetUp’s support teams remain available whenever direct assistance is required.

The FleetUp AI interface is designed primarily to help users work more efficiently in the FleetUp system. Typical uses include:

• Answering questions about platform features
• Providing step-by-step guidance for common workflows
• Surfacing relevant information from documentation and support resources
• Helping new users learn how to navigate the system

The AI interface is not designed to make operational, regulatory, financial, or safety-critical decisions.

Responsible use of AI is a shared responsibility between FleetUp and its users.

When using the FleetUp AI interface, we recommend that users:

• Verify critical operational information before acting on it
• Use the AI interface as a starting point for guidance within the platform
• Provide feedback when responses appear unclear or inaccurate

Feedback helps improve the system and contributes to a better experience for all users.

AI systems improve through monitoring, testing, and real-world usage. FleetUp regularly reviews system responses, incorporates feedback, and refines the AI experience over time.

Our goal is to provide a helpful assistant within the FleetUp platform while maintaining the privacy, security, and operational reliability our customers expect.

If you have questions or feedback about FleetUp AI, please contact support@fleetup.com