Salesforce Introduces Agentforce Testing Center: First-of-Its-Kind AI Agent Lifecycle Management Tooling for Testing Autonomous AI Agents at Scale
Salesforce (NYSE: CRM) has unveiled Agentforce Testing Center, a pioneering AI agent lifecycle management toolset for testing autonomous AI agents at scale. The solution enables teams to test Agentforce using synthetically generated data in secure environments, ensuring accurate responses and comprehensive monitoring.
Key features include AI-generated tests that can auto-generate hundreds of synthetic interactions, Data Cloud Sandboxes for safe testing environments, and enhanced monitoring capabilities through Agentforce Analytics and Utterance Analysis. The platform also offers transparent usage monitoring via Digital Wallet for complete visibility into consumption across the AI development lifecycle.
Salesforce (NYSE: CRM) ha presentato l'Agentforce Testing Center, un innovativo strumento di gestione del ciclo di vita degli agenti AI per testare gli agenti AI autonomi su larga scala. La soluzione consente ai team di testare Agentforce utilizzando dati generati sinteticamente in ambienti sicuri, garantendo risposte accurate e un monitoraggio completo.
Le principali caratteristiche includono test generati dall'AI che possono generare automaticamente centinaia di interazioni sintetiche, Data Cloud Sandboxes per ambienti di test sicuri e capacità di monitoraggio avanzate tramite Agentforce Analytics e Utterance Analysis. La piattaforma offre anche monitoraggio trasparente dell'uso tramite Digital Wallet per una visibilità completa sul consumo durante l'intero ciclo di vita dello sviluppo AI.
Salesforce (NYSE: CRM) ha presentado el Agentforce Testing Center, un conjunto pionero de herramientas para la gestión del ciclo de vida de agentes de IA para probar agentes autónomos de IA a gran escala. La solución permite a los equipos probar Agentforce utilizando datos generados sintéticamente en entornos seguros, asegurando respuestas precisas y un monitoreo integral.
Las características clave incluyen pruebas generadas por IA que pueden generar automáticamente cientos de interacciones sintéticas, Data Cloud Sandboxes para entornos de prueba seguros, y capacidades de monitoreo mejoradas a través de Agentforce Analytics y Utterance Analysis. La plataforma también ofrece un monitoreo de uso transparente a través de Digital Wallet para una visibilidad completa del consumo a lo largo del ciclo de vida del desarrollo de IA.
세일즈포스 (NYSE: CRM)가 자율 AI 에이전트를 대규모로 테스트하기 위한 혁신적인 AI 에이전트 라이프사이클 관리 도구인 에이전트포스 테스팅 센터를 공개했습니다. 이 솔루션은 팀이 안전한 환경에서 합성 데이터로 에이전트포스를 테스트할 수 있게 하여 정확한 응답과 포괄적인 모니터링을 보장합니다.
주요 기능으로는 AI 생성 테스트가 포함되어 있어 자동으로 수백 개의 합성 상호작용을 생성할 수 있으며, 데이터 클라우드 샌드박스를 통한 안전한 테스트 환경과 에이전트포스 분석 및 발화 분석을 통한 향상된 모니터링 기능이 제공됩니다. 이 플랫폼은 AI 개발 주기 전반에 걸친 소비에 대한 완전한 가시성을 제공하기 위해 디지털 지갑을 통해 투명한 사용 모니터링도 제공합니다.
Salesforce (NYSE: CRM) a dévoilé l'Agentforce Testing Center, un ensemble d'outils pionnier pour la gestion du cycle de vie des agents IA, permettant de tester des agents IA autonomes à grande échelle. Cette solution permet aux équipes de tester Agentforce en utilisant des données générées synthétiquement dans des environnements sécurisés, garantissant des réponses précises et un suivi complet.
Les caractéristiques clés incluent tests générés par IA capables de générer automatiquement des centaines d'interactions synthétiques, Data Cloud Sandboxes pour des environnements de test sécurisés, et des capacités de surveillance améliorées grâce à Agentforce Analytics et Utterance Analysis. La plateforme propose également un suivi transparent de l'utilisation via Digital Wallet pour une visibilité complète sur la consommation tout au long du cycle de vie du développement de l'IA.
Salesforce (NYSE: CRM) hat das Agentforce Testing Center vorgestellt, ein wegweisendes Toolset zur Verwaltung des Lebenszyklus von KI-Agenten, das das Testen autonomer KI-Agenten in großem Maßstab ermöglicht. Die Lösung erlaubt es Teams, Agentforce mit synthetisch generierten Daten in sicheren Umgebungen zu testen, um präzise Antworten und umfassendes Monitoring sicherzustellen.
Zu den wichtigsten Funktionen gehören von KI generierte Tests, die automatisch Hunderte von synthetischen Interaktionen generieren können, Data Cloud Sandboxes für sichere Testumgebungen und verbesserte Überwachungsmöglichkeiten durch Agentforce Analytics und Utterance Analysis. Die Plattform bietet auch eine transparente Nutzungsmessung über Digital Wallet für eine vollständige Sichtbarkeit des Verbrauchs im gesamten Lebenszyklus der KI-Entwicklung.
- First-to-market AI agent lifecycle management tooling solution
- Integration with existing Salesforce Platform and Data Cloud infrastructure
- Ability to auto-generate hundreds of synthetic interactions for testing
- Secure sandbox testing environment to prevent production disruptions
- Complete monitoring and analytics capabilities for usage tracking
- Currently in closed pilot phase, availability
- Full general availability not expected until early December
Insights
Salesforce's Agentforce Testing Center marks a significant advancement in enterprise AI deployment. The platform addresses critical challenges in AI agent testing and deployment through three key innovations:
- AI-generated synthetic testing at scale
- Sandbox environments for risk-free prototyping
- Comprehensive monitoring and analytics capabilities
This development positions Salesforce ahead of competitors in the AI agent management space, particularly valuable for large enterprises requiring robust testing frameworks. The inclusion of Data Cloud Sandboxes and transparent cost management through Digital Wallet demonstrates a mature, enterprise-ready approach to AI deployment.
The market impact is substantial as it removes major barriers to enterprise AI adoption - namely testing reliability and deployment safety. This could accelerate Salesforce's revenue growth in the AI segment while strengthening their competitive moat in the CRM space.
Agentforce Testing Center enables teams to test Agentforce using synthetically generated data, ensuring accurate responses and actions — with complete monitoring of usage and feedback
New Data Cloud Sandboxes and Digital Wallet enhancements enable teams to test the entire AI and data lifecycle in secure test environments while transparently managing and optimizing costs
AI agents are a new paradigm in software. They are intelligent systems that can reason and act on behalf of customers and employees. But to realize their full potential, agents need to be tested and configured without disrupting live production environments. This new toolchain — the first of its kind in the industry — will enable teams to test, deploy, and monitor AI agents with Agentforce at scale, with confidence, enabling every enterprise to become “agent-first.”
“Agentforce is helping businesses create a limitless workforce. To deliver this value fast, CIOs need new tools for testing and monitoring agentic systems,” said Adam Evans, EVP and GM for Salesforce AI Platform. “Salesforce introduced the concept of Application Lifecycle Management back in 2006 with Force.com. This new category of Agentic Lifecycle Management requires unique tools, and Salesforce is meeting the moment again with Agentforce Testing Center, which will help companies roll out trusted AI agents with no-code tools for testing, deploying, and monitoring in a secure, repeatable way.”
Innovation in action: Other vendors lack the necessary capabilities for customers to run the appropriate tests on their AI before deploying, which can lead to hallucinations, inaccurate results, and substandard customer experiences. Agentforce Testing Center — built on the enterprise-grade Salesforce Platform and integrated with Data Cloud — enables every organization to easily test and monitor AI agents so that they can deploy with confidence.
New capabilities include:
- AI-generated tests for Agentforce: Teams building with Agentforce need to accurately test all of the different ways a customer may pose a question or interact with an agent. In addition to Agent Builder, which features a Plan Tracer for investigating the reasoning process of an agent, the new Agentforce Testing Center enables teams to test topic and action selection at scale. Using natural language instructions, Testing Center can auto-generate hundreds of synthetic interactions — such as requests a customer may make when engaging with Agentforce Service Agent — then test them in parallel to see how frequently they result in the right outcome. Teams can then use the test data to refine instructions so the expected topic is more frequently selected, improving the end customer experience.
- Sandboxes for Agentforce and Data Cloud: Teams looking to test Agentforce need to do so in safe, isolated environments. Generally available today, Salesforce Sandboxes — mirror images of your production org’s data and configurations — now support both Data Cloud and Agentforce. By replicating the org’s data and metadata into a risk-free environment, development teams can rapidly assemble their unstructured data foundation and rigorously prototype Agentforce without fear of disrupting the business. Now teams can perform UAT (User Acceptance Testing) with an initial set of users to ensure that Agentforce performs the tasks that it’s intended to accomplish, then migrate those changes to production using familiar tools such as Change Sets, DevOps Center, and the Salesforce CLI that now support Data Cloud and Agentforce.
- Monitoring and observability for Agentforce: With the general availability of Data Cloud Sandboxes, the full Einstein Trust Layer can be tested in a secure, pre-production environment, enabling rapid configuration of Agentforce agents and Prompt Templates. With the Einstein Trust Layer’s audit trail and feedback store in sandboxes, teams can build a closed loop for AI testing — iterating on prompts and actions based on user feedback. And once Agentforce is live in production, new capabilities for granular insights into adoption and accuracy become available through Agentforce Analytics and Utterance Analysis — new observability solutions built natively on Data Cloud for continuous iteration while moving through the Agentforce lifecycle.
- Transparent usage monitoring in Digital Wallet: Data Cloud Sandbox and Agentforce usage is metered in Digital Wallet, providing customers with complete visibility into their consumption across the AI development lifecycle. New enhancements provide granular insights into what features consume credits, so that teams can uncover new trends around usage as they scale. And because Digital Wallet is integrated into the Salesforce Platform, teams can create automations to alert admins if, for example, usage exceeds a particular threshold.
Customer and analyst perspectives:
“With nearly 3 million members, PenFed is committed to building relationships that go beyond transactions,” said Shree Reddy, CIO, PenFed. “Through the power of Data Cloud on the Salesforce Platform, we’re equipping our member service representatives with a complete, personalized view of each member’s journey. With the ability to properly test prior to deployment with Data Cloud Sandboxes, this enables us to provide faster, more accurate support and recommendations that truly reflect our commitment to their financial well-being. At PenFed, we’re here to support every member’s unique goals with care and understanding, helping them achieve their financial dreams.”
“To help engender trust in AI, every business investing in an agent strategy will need to think through how they pressure test an autonomous AI agent that can reason, retrieve data, and use tools. Salesforce is instilling confidence by using AI to test hundreds of variations of an agent's interaction in parallel. With these enhancements and support for Agentforce and Data Cloud in familiar testing environments, this Testing Center will help Salesforce customers manage the unique needs of testing AI agents,” said Keith Kirkpatrick, Research Director, The Futurum Group.
Availability:
- Agentforce Testing Center is in a closed pilot today, and will be generally available for use in sandboxes in early December.
- Sandbox support for Agentforce and Data Cloud is generally available today.
- Agentforce Analytics and Utterance Analysis are generally available today.
- DevOps Center, Salesforce CLI, and Change Sets support for Agentforce and Data Cloud are generally available today.
Learn more:
- Get started for free with Salesforce Foundations
- Explore how to test agents in Agentforce Testing Center
- Explore Agentforce and Data Cloud customer stories
- Estimate your ROI with Agentforce
- Read about how Data Cloud powers Agentforce
- Learn more about testing and deployment on the Salesforce Platform
- Join the new Agentblazer and Datablazer communities
About Salesforce
Salesforce helps organizations of any size reimagine their business for the world of AI. With Agentforce, Salesforce's trusted platform, organizations can bring humans together with agents to drive customer success—powered by AI, data, and action. Visit www.salesforce.com for more information.
View source version on businesswire.com: https://www.businesswire.com/news/home/20241120646715/en/
Carolyn Guss
pr@salesforce.com
Source: Salesforce
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