First-of-its-kind integration brings data + AI observability to Salesforce CRM and Data Cloud, enabling customers to build trusted AI agents with Agentforce
Monte Carlo, the leader in data + AI observability, today unveiled its new suite of native integrations with Salesforce, empowering teams to ensure trust in the data that powers critical business workflows and AI applications.
With this release, Monte Carlo becomes the first data + AI observability platform to provide end-to-end monitoring for Salesforce CRM and Salesforce Data Cloud—two of the most business critical and data-rich systems in the enterprise. Monte Carlo’s integration with Salesforce Data Cloud provides AI-ready data to Agentforce—Salesforce’s AI agent platform—that allows users to build, customize, and deploy autonomous AI agents to support employees and customers.
Early access users are already identifying business-critical use cases for this new 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
Keep reading to learn more about what Monte Carlo’s new native Salesforce integration can do—and how you can use it to unlock more value from your Salesforce data.
Bringing Trust to Salesforce Data
Salesforce data drives business-critical decisions across go-to-market teams. Yet data quality issues like duplicates, nulls, and invalid formats often go undetected until it’s too late—resulting in missed revenue, wasted budget, and eroded customer trust.
With Monte Carlo’s new Salesforce integrations, teams can now monitor the reliability of CRM and Data Cloud data directly within the Salesforce environment, making it easy for both data teams and business users to detect, triage, and resolve data issues without having to wait until it lands in the warehouse.
The integration delivers powerful benefits across the modern enterprise:
- Data, sales, and revenue operations teams can work together to quickly trace and resolve issues before they impact downstream systems
- Marketing teams can validate their 360-degree customer profiles, reducing wasted spend on misdirected campaigns
- AI teams can create powerful applications knowing the underlying data is reliable
- Business users can leverage Agentforce to automate their day-to-day workflow with the same trustworthy data
“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.”
Native, Scalable, and Easy to Use
Key features of the new integration include the ability to:
- Catch data quality issues early, like nulls, duplicates, and missing values—before they impact dashboards or decision-making
- Ensure data consistency across systems, by monitoring syncs between Salesforce and your warehouse or lakehouse
- Prevent broken reports and workflows, with timely alerts for schema changes in Salesforce CRM and Data Cloud
- Apply custom business logic checks to spot the issues that matter most to your team
The post Monte Carlo Launches Native Salesforce Integration for AI-Ready Data first appeared on AI-Tech Park.
