Agentforce Testing Heart allows groups to check Agentforce utilizing synthetically generated knowledge, making certain correct responses and actions — with full monitoring of utilization and suggestions
Salesforce (NYSE: CRM), the AI CRM, introduced agentic lifecycle administration instruments to automate Agentforce testing, prototype brokers in safe Sandbox environments, and transparently handle utilization at scale.
AI agents are a brand new paradigm in software program. They’re clever methods that may purpose and act on behalf of shoppers and workers. However to comprehend their full potential, brokers should be examined and configured with out disrupting reside manufacturing environments. This new toolchain — the primary of its sort within the business — will allow groups to check, deploy, and monitor AI brokers with Agentforce at scale, with confidence, enabling each enterprise to turn into “agent-first.”
“Agentforce helps companies create a limitless workforce. To ship this worth quick, CIOs want new instruments for testing and monitoring agentic methods,” mentioned Adam Evans, EVP and GM for Salesforce AI Platform. “Salesforce launched the idea of Utility Lifecycle Administration again in 2006 with Drive.com. This new class of Agentic Lifecycle Administration requires distinctive instruments, and Salesforce is assembly the second once more with Agentforce Testing Heart, which can assist corporations roll out trusted AI brokers with no-code instruments for testing, deploying, and monitoring in a safe, repeatable method.”
Innovation in motion: Different distributors lack the required capabilities for purchasers to run the suitable assessments on their AI earlier than deploying, which might result in hallucinations, inaccurate outcomes, and substandard buyer experiences. Agentforce Testing Heart — constructed on the enterprise-grade Salesforce Platform and built-in with Data Cloud — allows each group to simply take a look at and monitor AI brokers in order that they’ll deploy with confidence.
New capabilities embrace:
- AI-generated assessments for Agentforce: Groups constructing with Agentforce have to precisely take a look at the entire alternative ways a buyer might pose a query or work together with an agent. Along with Agent Builder, which contains a Plan Tracer for investigating the reasoning technique of an agent, the brand new Agentforce Testing Heart allows groups to check subject and motion choice at scale. Utilizing pure language directions, Testing Heart can auto-generate tons of of artificial interactions — reminiscent of requests a buyer might make when partaking with Agentforce Service Agent — then take a look at them in parallel to see how regularly they end in the precise final result. Groups can then use the take a look at knowledge to refine directions so the anticipated subject is extra regularly chosen, enhancing the top buyer expertise.
- Sandboxes for Agentforce and Knowledge Cloud: Groups seeking to take a look at Agentforce want to take action in protected, remoted environments. Usually accessible at the moment, Salesforce Sandboxes — mirror photos of your manufacturing org’s knowledge and configurations — now help each Knowledge Cloud and Agentforce. By replicating the org’s knowledge and metadata right into a risk-free surroundings, improvement groups can quickly assemble their unstructured knowledge basis and rigorously prototype Agentforce with out concern of disrupting the enterprise. Now groups can carry out UAT (Consumer Acceptance Testing) with an preliminary set of customers to make sure that Agentforce performs the duties that it’s meant to perform, then migrate these adjustments to manufacturing utilizing acquainted instruments reminiscent of Change Units, DevOps Heart, and the Salesforce CLI that now help Knowledge Cloud and Agentforce.
- Monitoring and observability for Agentforce: With the final availability of Knowledge Cloud Sandboxes, the complete Einstein Trust Layer might be examined in a safe, pre-production surroundings, enabling fast configuration of Agentforce brokers and Immediate Templates. With the Einstein Belief Layer’s audit path and suggestions retailer in sandboxes, groups can construct a closed loop for AI testing — iterating on prompts and actions based mostly on consumer suggestions. And as soon as Agentforce is reside in manufacturing, new capabilities for granular insights into adoption and accuracy turn into accessible by way of Agentforce Analytics and Utterance Evaluation – new observability options constructed natively on Knowledge Cloud for steady iteration whereas shifting by way of the Agentforce lifecycle.
- Clear utilization monitoring in Digital Pockets: Knowledge Cloud Sandbox and Agentforce utilization is metered in Digital Pockets, offering prospects with full visibility into their consumption throughout the AI improvement lifecycle. New enhancements present granular insights into what options eat credit, in order that groups can uncover new tendencies round utilization as they scale. And since Digital Pockets is built-in into the Salesforce Platform, groups can create automations to alert admins if, for instance, utilization exceeds a selected threshold.
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