Monte Carlo, the leader in data and AI observability, announced the launch of a new suite of native integrations with Salesforce, enabling organizations to monitor and ensure the reliability of the data fueling their most critical business processes and AI applications.
With this release, Monte Carlo becomes the first data and AI observability platform to deliver end-to-end monitoring for Salesforce CRM and Salesforce Data Cloud-two of the most data-rich and business-critical systems in the enterprise. The integration with Salesforce Data Cloud provides AI-ready, high-quality data to Agentforce, Salesforce’s AI agent platform, which empowers organizations to build, customize, and deploy autonomous AI agents that support employees and customers alike.
Early access customers are already reporting transformational benefits from the integration:
“Monte Carlo’s Salesforce integration will unlock a whole new level of confidence in our CRM data. We’re excited to catch issues-like missing fields or broken syncs-before they hit Snowflake or affect reporting. Moreover, as we are in a process of deprecating formula fields, we will use this feature to ensure reliability across all pipelines. We’ll be able to stop bad data before it affects our Go-To-Market operations, improving executive trust in our insights. Best of all, it will save our OPs teams hours and promoting data quality as everyone’s responsibility.” Pedro Sá Martins, Head of Engineering at Outsystems.
Also Read: Avaamo unveils CX Agents, digital workforce for enterprise customer service
Elevating Trust in Salesforce Data
Salesforce data powers revenue forecasting, marketing campaigns, customer success operations, and AI-driven automation across go-to-market teams. However, data quality issues-including duplicates, null values, and invalid formats-often slip through undetected until they impact reports, analytics, or downstream systems. The result: missed revenue opportunities, inefficient spending, and diminished customer trust.
“Salesforce is one of the most mission-critical systems in the enterprise, but when you think about just how many individuals it touches in a given organization, it should come as no surprise that it’s vulnerable to bad data,” said Lior Gavish, co-founder and CTO of Monte Carlo. “With this integration, we’re helping customers ensure the accuracy of this critical data source, where the potential issues can often be the most damaging and hardest to detect.”