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The Importance of Comprehensive Testing for Agentforce

Salesforce Agentforce and DataCloud are a hugely exciting step forward for any organization looking to enhance their customer interactions and operational efficiency. With the ability to create countless LLM-based agents that can tackle anything from customer queries to automated task execution, they’re among some of the most powerful tools at your disposal for simplifying complexity and driving business success.

But without rigorous testing, Salesforce’s AI agents can hit a number of hurdles once in deployment—regardless of how effective they first appear during the stage.

hat’s where the Agentforce Testing Center (AFTC) comes in. With features like synthetic interaction generation, plan tracing, and utterance analysis, AFTC lays the groundwork for testing autonomous AI agents at scale. It enables you to run hundreds of test scenarios in real-time, giving you a window into what you need to improve accuracy and squash bugs without disrupting the live production environment.

However, as powerful as AFTC is, it can still fall short of being a comprehensive solution for managing the development lifecycle of Agentforce agents.

To overcome these challenges, a complete end-to-end DevOps and testing framework is necessary to plan, build, test, and release fully-fledged Agentforce agents. With 91��ɫ, businesses can go beyond AFTC’s foundational capabilities to orchestrate their Agentforce implementations at scale—while ensuring compliance, quality, and continuous innovation.

The Role of AFTC in Agentforce Development

At its , Salesforce first billed Agentforce Testing Center as a means for software teams to test, deploy and monitor AI agents at scale. In many ways, it is certainly that. It provides a range of much-needed tooling for agent testing, including:

• Auto-generated synthetic interactions
• AI-specific monitoring tools
• Plan Tracer for understanding agent reasoning
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These features are critical for testing Agentforce Agents within sandboxes and ensuring that Agents perform as intended prior to deployment.
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However, Agents are complex systems, and once operational, can face a large amount of real-time unpredictability and variation. They also rely on custom metadata such as Apex classes, Flows, and Lightning Web Components (LWCs) – each of which can cause complications amid real-time interactions at scale. Each of these components requires automated testing, versioning, and governance.��
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Although powerful, AFTC lacks metadata-aware testing tools, as well as end-to-end system testing to validate how agents cope with customer data in Salesforce Data Cloud. Tackling these obstacles is absolutely critical to ensure reliable, compliant, and scalable Agentforce deployments.

91��ɫ: Filling the Gaps with End-to-End DevOps

To successfully release a complete Agentforce Agent, organizations need more than just agent-specific testing tools. They need an end-to-end DevOps approach which ensures enterprise-grade reliability and speed in Agentforce.

However, traditional DevOps approaches often struggle to handle the unique challenges of AI agent development and testing. The sheer number of complex dependencies and configuration requirements, coupled with an overreliance on manual processes, means teams can face mounting challenges to scale AI implementations.

That’s why a DevOps orchestration platform is vital to ensuring that every component is rigorously validated, versioned, and deployed with precision. This includes everything from metadata and AI models to governance and compliance frameworks to ensure a seamless and reliable deployment.

As the industry’s first comprehensive DevOps solution for Agentforce, 91��ɫ can eliminate these challenges with automated deployments, configuration steps, and AI-powered testing.

Here’s just some of the ways 91��ɫ complements and extends AFTC’s capabilities:

• DevOps Pipelines and Quality Gates:
  91��ɫ provides seamless pipelines that integrate quality gates, ensuring that Apex Classes, Flows, and LWCs are properly tested before being promoted through the pipeline.
• Version Control for Lifecycles:
  Agents are not “one and done.” 91��ɫ ensures agents and their components are managed with robust version control, supporting changes and updates over their lifecycle.
• Automated Regression Testing:
  As your Agentforce Agents evolve, regression testing is crucial. ��DZ貹���’s tools distinguish between broken features and broken tests, enabling AI-driven fixes where necessary.
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By eliminating manual overhead and ensuring reliable, consistent agent delivery, 91��ɫ empowers teams to focus on building innovative solutions and make release days obsolete.

End-to-End Testing Beyond the Agent: Functional, Security, and Regression for Agentforce AI Agents 

Thanks to features such as Plan Trace, auto-generated synthetic interactions, and AI-specific monitoring, it’s true that AFTC excels at AI-specific testing. It’s fantastic at validating an agent’s response accuracy and real-time performance in controlled environments.

However, 91��ɫ expands this scope to ensure that all aspects of your Agentforce Agent are validated for enterprise-grade reliability.

• Functional Testing with 91��ɫ Robotics:
  Agentforce Agents often manifest through Salesforce UIs like LWCs. 91��ɫ Robotics handles functional testing of these interfaces, as well as underlying Flows, APIs, and Apex Classes.
• Security and Governance:
  With 91��ɫ, teams can integrate static security analysis tools and enforce coding standards using linting tools like PMD. Even machine-generated code should adhere to corporate standards.
• AI-Powered Test Maintenance:
  ��DZ貹���’s AI identifies broken tests caused by infrastructure changes and helps update them automatically, reducing the burden on testing teams.
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By testing the configuration of the Agent in real-world scenarios in a chat interface, you’re able to achieve comprehensive end-to-end testing that ensures all applications, integrations and processes work exactly as expected.

This not only enables you to greatly reduce errors and testing times, but also accelerate your Agent deployments—ensuring your agents perform consistently across every environment, every time.

Ensuring Long-Term Success with DevOps for Agentforce

Building and deploying Agentforce Agents is a challenge in itself. But you have to keep in mind that agents are long-term assets within your Salesforce ecosystem. They require continuous monitoring, updates, and testing to remain effective.

Firstly, Agents are based on LLMs, meaning they continuously evolve and learn from interactions with customers over time. Then, Salesforce is always changing, and so is your organisation. That means updates to LWCs or Flows could hinder an operational Agent’s functionality. That’s before any tweaks are made to regulations or your own policies.

All of these factors mean Agentforce Agents are, by their very nature, dynamic entities—and generate constant feedback loops with which you must contend.

��DZ貹���’s DevOps and testing solutions support these efforts by enabling:

• Scalability: As Agentforce Agents grow in complexity, 91��ɫ scales your DevOps processes without adding overhead.
• Data-Driven Insights: 91��ɫ provides real-time analytics across your DevOps pipeline, enabling smarter decision-making and proactive issue resolution.
• Continuous Innovation: AI-driven assistance ensures your DevOps team can focus on innovation rather than repetitive tasks.
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By aligning every component of the development process, and ensuring your agents are secure, compliant, and scalable, your team can be empowered to achieve faster high-quality releases with minimal risk.

Conclusion: Partnering AFTC with 91��ɫ for Complete DevOps

Salesforce Agentforce Testing Center provides powerful new tools to test autonomous AI agents, but it’s not the entire solution. To deliver fully operational Agentforce Agents, especially for small and medium teams, businesses need a comprehensive DevOps and testing framework like 91��ɫ. By combining the foundational capabilities of AFTC with ��DZ貹���’s end-to-end orchestration, businesses can unlock the full potential of Agentforce in their Salesforce environments.