A woman in a light blazer is using a tablet, while a Astro robot with sunglasses floats nearby against a colorful background.

Scaling AI you can trust

Discover the 5 key factors for building trusted, agentic AI and how they help businesses safely scale AI. From AI governance to privacy policies, explore the essential components for fostering trust and maximizing AI’s potential in today’s rapidly evolving landscape.

Build your foundation for responsible AI growth

Ensure AI agents act safely and responsibly by establishing guardrails that define appropriate actions. These AI guardrails should align with your business policies, regulatory requirements, and operational workflows while allowing agents the flexibility to deliver outcomes within trusted limits.

A man wearing glasses and a button-up shirt stands in an office, looking at and using a tablet. A green foliage graphic is overlaid in the bottom right corner.

Human oversight is critical for building trusted AI. Establish clear escalation paths and review processes to maintain oversight where it matters most. With ongoing monitoring and tuning, you can keep AI aligned to your business goals and deliver outcomes you can stand behind.

Two people in business attire look at a tablet together, with digital icons and nature illustrations overlaid on the image.

Continuous feedback is key to making AI agents more reliable. Use real-world interactions to identify gaps, refine responses, and optimize performance over time. By implementing feedback loops, you can improve outcomes and keep AI aligned with customer expectations.

A woman working on her laptop with the phrases "identify gaps," "optimize performance," and "refine responses" visible.

Protecting customer data is essential at every stage of your AI lifecycle. By embedding privacy into data collection, model training, and deployment, you can ensure sensitive information is handled responsibly. Align with global regulations, such as GDPR and HIPAA, while building trust through transparent, compliant AI experiences.

A person working on a laptop with a visible security icon, indicating a focus on online safety and data protection.
A man wearing glasses and a button-up shirt stands in an office, looking at and using a tablet. A green foliage graphic is overlaid in the bottom right corner.
Two people in business attire look at a tablet together, with digital icons and nature illustrations overlaid on the image.
A woman working on her laptop with the phrases "identify gaps," "optimize performance," and "refine responses" visible.
A person working on a laptop with a visible security icon, indicating a focus on online safety and data protection.

Prepare your workforce to confidently scale AI with free, guided learning on Trailhead

Learn how Professional Services can help you scale AI responsibly.

Tell us a bit more so the right person can reach out faster.

Scaling AI with Trust FAQ

AI guardrails are a set of features and controls that reinforce trusted behavior and prevent deviations from the intended behavior of AI agents, helping businesses maintain fairness, accuracy, and compliance as they scale AI initiatives.

Different types of AI agents guardrails can be implemented across the agentic lifecycle. Common examples include applying role-based permissions, strict data access, declarative policies and logic, and a human escalation point.

Consider the policies, rules, and requirements that apply to the work today. This should be a starting point for identifying the needs and concerns when rolling out agentic AI. Protecting this sensitive data with encryption, access controls, and transparent consent processes is vital to maintaining privacy and customer trust while scaling responsible AI.

Salesforce Professional Services offers expert guidance to build governance frameworks, ensuring your AI initiatives are ethical, compliant, and aligned with industry best practices.