DataGroomr Introduces AI Agent to Help Salesforce Teams Manage Data Quality with Natural Language

New DataGroomr AI Agent analyzes and diagnoses data quality issues, configures models and rules, takes action on Salesforce data, and automates ongoing data quality processes

PHILADELPHIA, Oct. 20, 2026 /PRNewswire/ -- DataGroomr today announced its new DataGroomr AI Agent, a conversational agent that helps Salesforce teams understand, improve, and manage CRM data quality using natural language. Available as part of the DataGroomr data quality platform on Salesforce AgentExchange, the AI Agent enables users to investigate data issues, configure DataGroomr, take action on data, and automate data quality processes directly through conversation.

As organizations increasingly rely on Salesforce data to power AI, automation, analytics, and revenue operations, maintaining trusted CRM data requires more than periodically cleaning records. Teams need to continuously understand data health, diagnose problems, configure the right controls, and take action as needs change.

The DataGroomr AI Agent brings those capabilities together in a conversational experience. Users can simply describe what they want to understand or accomplish, and the Agent helps determine and execute the appropriate next steps.

With the DataGroomr AI Agent, Salesforce teams can:

• Analyze and diagnose data health, duplicate rates, field quality, matching behavior, and other data quality issues.
• Design and configure matching models, data quality models, survivorship and transformation rules, and enrichment and verification workflows.
• Take action and automate by merging duplicate records with user confirmation, scheduling deduplication and cleansing processes, and creating real-time data quality triggers.
• Explore and report by querying Salesforce data, reviewing activity and merge history, and tracking verification credit usage.
• Ask questions and get recommendations about DataGroomr capabilities and the next steps for achieving specific data quality goals.

The Agent is context-aware, allowing it to understand where a user is working within DataGroomr and apply that context throughout a conversation. Smart type-ahead helps users discover available capabilities, searchable chat history makes it easy to continue previous conversations, and voice interaction provides another way to work with the Agent.

The Agent represents DataGroomr's continued expansion of AI across the data quality lifecycle. DataGroomr already uses AI and machine learning to identify duplicates, assess data quality, recommend merge decisions, generate rules and models, and orchestrate enrichment.

DataGroomr is available on Salesforce AgentExchange at https://appexchange.salesforce.com/appxListingDetail?listingId=a0N3A00000FMagqUAD&tab=e 

Comments on the News

"AI shouldn't just help organizations do more with their Salesforce data. It should make it easier for the people responsible for that data to understand what is happening, decide what needs to be done, and take action," said Steve Pogrebivsky, CEO of DataGroomr. "With the DataGroomr AI Agent, users can tell us what they want to understand or accomplish and work with the platform conversationally. It brings the expertise and capabilities of DataGroomr directly into the context of their work."

Additional Resources

Learn more about DataGroomr: https://datagroomr.com/ 

Read the September 2026 DataGroomr Release Notes: https://datagroomr.com/datagroomr-september26-release-notes/ 

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About DataGroomr

DataGroomr is an AI-powered data quality platform for Salesforce that helps organizations maintain accurate, complete, and trusted CRM data. DataGroomr combines intelligent deduplication and duplicate prevention, data cleansing, enrichment, verification, data quality monitoring, import management, and automation in a single platform. Using machine learning and generative AI, DataGroomr helps Salesforce teams improve data quality while maintaining control over how their data is managed.

For more information, visit www.datagroomr.com.

Media Contact:
Steve Pogrebivsky
DataGroomr
+1 215 253 5600
[email protected] 

SOURCE DataGroomr