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How to Prepare Your Salesforce Org for Agentforce AI Agents

Article by Zeke Sarvis | March 17, 2025
Salesforce Org for Agentforce AI Agents

ABSTRACT

Agentforce Agents offer powerful automation capabilities within Salesforce, but their success depends on how well your organization’s data, security, and permissions are structured. Without a strong foundation of high-quality, actionable data and well-defined security controls, AI-driven agents may struggle to deliver accurate and meaningful outputs. In this thought leadership, industry expert Zeke Sarvis outlines the key preparations needed before implementing Agentforce, including data security best practices, actionable data requirements, and data governance strategies. He also provides a step-by-step roadmap to help organizations enable Agentforce effectively, test in a controlled environment, and build agents that address real business challenges. Share your thoughts by writing to us.

Key Takeaways

  • Strong Data Security is Essential – Control access with roles, permissions, and multi-factor authentication to prevent data leaks.
  • Agents Rely on Actionable Data – Ensure your Salesforce org has well-structured, meaningful data for agents to execute tasks effectively.
  • Data Quality Impacts AI Performance – Inaccurate or unstructured data can lead to ineffective agent actions and insights.
  • Start with a Structured Implementation – Enable Agentforce in a test environment first to refine workflows before deploying in production.
  • Clear Use Cases Drive Success – Define specific business needs that agents will address to maximize value.
  • Expert Guidance Can Simplify Setup – Accelirate can help ensure your organization is fully prepared to leverage Agentforce efficiently.

AI-powered agents can streamline workflows, automate processes, and fast track decision-making in your Salesforce org. However, their effectiveness depends on how well your organization’s data, security, and permissions are structured.

According to Salesforce’s 2023 State of Data and Analytics report, 86% of analytics and IT leaders agree that AI’s outputs are only as good as its underlying data. This means that poorly managed data, weak security controls, or a lack of structured actions can limit Agentforce’s potential.

So, is your Salesforce org ready for Agentforce? Let’s walk through the key areas you need to evaluate before implementation.

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Key Considerations Before Deploying Agentforce

Salesforce Org for Agentforce AI Agents

1. Strengthening Data Security and Access Controls

Agentforce Agents interact with sensitive business data, making security a top priority. Without proper controls, AI-driven responses can expose confidential information—either accidentally or intentionally.

To safeguard your data:

  • Restrict agent access to qualified users with multi-factor authentication
  • Use Agent Roles, Data Libraries, and Guard Rails for structured access
  • Define clear permissions for each agent’s actions

Have you reviewed your organization’s security measures? Ensuring strict access controls will prevent unintended data exposure while maintaining efficiency.

Is Your Salesforce Org Ready for Agentforce?

2. Ensuring Your Salesforce Environment Contains Actionable Data

Agentforce is only as effective as the data it can act upon. If your Salesforce org lacks structured, actionable data, agents will have limited ability to assist users.

Agents can perform actions such as:

  • Modifying Salesforce records
  • Making API or Apex calls
  • Sending outbound emails or notifications

Does your organization have a well-developed Salesforce environment? If not, consider expanding automation capabilities before implementing Agentforce.

3. Improving Data Quality and Governance

Without accurate, well-maintained data, Agentforce Agents may generate incorrect or misleading outputs. A robust data governance framework is critical to ensuring AI-powered decisions align with business needs.

Consider these steps:

  • Conduct a data cleanup to remove outdated or duplicate records
  • Implement Data Practice and Governance Programs to maintain accuracy
  • Validate existing data structures to support AI-driven automation

When was the last time your Salesforce data was reviewed? High-quality data ensures that Agentforce delivers reliable and meaningful insights.

First Steps to Implementing Agentforce

Once your Salesforce org is prepared, follow these key steps to set up Agentforce:

First Steps to Implementing Agentforce
  1. Turn on Einstein and Agentforce Assistant
  2. Enable Data Cloud
  3. Assign Appropriate Permissions
  4. Configure Embedded Service Deployment
  5. Set Up Inbound and Outbound Flows
  6. Create Data Libraries
  7. Confirm Data Cloud Provisioning

Are you starting with a QA environment? Testing in a controlled setup ensures that Agents do not unintentionally modify production data.

Building Agents That Solve Real Business Challenges

After setup, the next step is defining business cases for Agentforce. Start with:

  • Simple Data Libraries
  • Basic Prompts to test agent responses
  • Use cases aligned with organizational goals

Once you observe how Agents interact with your Salesforce data, you can refine their capabilities and develop automation solutions that address key pain points.

Need help with Agentforce? We’ll set it up with the right security, data management, and automation strategies.

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Get Your Salesforce Org Ready for Agentforce

Agentforce can streamline operations and reduce manual effort—but only if your Salesforce environment is secure, structured, and data-ready. So, before you proceed, ask these three important questions.

  1. Is your data structured and clean?
  2. Do you have the right security measures in place?
  3. Are your automation processes mature enough to support Agentforce?

If you need help optimizing your Salesforce environment for Agentforce, contact Accelirate today to ensure a smooth and successful implementation.

Zeke Sarvis

Zeke Sarvis

Business Analyst

Zeke specializes in all things process. He holds a Bachelor’s Degree in Informatics from Indiana University of Bloomington. He is hungry to learn all things tech, and keeps an eye on news in the industry.

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