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DataGroomr Introduces AI Agent to Help Salesforce Manage Data Quality


 DataGroomr Introduces AI Agent to Help Salesforce Manage Data Quality
  • by: PR Newswire
  • |
  • October 21, 2026

DataGroomr has announced new DataGroomr AI Agent, conversational agent that helps Salesforce teams understand, improve, and manage CRM data quality using natural language. Available as part of DataGroomr data quality platform on Salesforce AgentExchange, AI Agent enables users to investigate data issues, configure DataGroomr, take action on data, and automate data quality processes directly through conversation.

Quick Intel

  • DataGroomr introduces AI Agent to help Salesforce teams manage data quality with natural language analyzing diagnosing issues configuring models taking action.
  • Analyzes and diagnoses data quality issues, configures models and rules, takes action on Salesforce data, automates ongoing data quality processes.
  • Salesforce teams can analyze health duplicate rates field quality, design matching models data quality models survivorship transformation rules, merge duplicates with confirmation scheduling.
  • Explore and report by querying Salesforce data reviewing activity merge history tracking verification credit usage asking recommendations next steps.
  • Context-aware understanding where user working within DataGroomr applying context throughout conversation with smart type-ahead searchable chat history voice interaction.
  • Available on Salesforce AgentExchange represents continued expansion of AI across data quality lifecycle using machine learning to identify duplicates assess quality recommend merges.

Conversational Experience for Continuous Data Health

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 right controls, and take action as needs change.

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

With DataGroomr AI Agent, Salesforce teams can analyze and diagnose data health, duplicate rates, field quality, matching behavior, design and configure matching models, data quality models, survivorship and transformation rules, enrichment and verification workflows, take action and automate by merging duplicate records with user confirmation, scheduling deduplication and cleansing processes, creating real-time data quality triggers, explore and report by querying Salesforce data, reviewing activity and merge history, tracking verification credit usage, ask questions and get recommendations about DataGroomr capabilities and next steps.

Agent is context-aware allowing it to understand where user is working within DataGroomr and apply that context throughout 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.

"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."

 

About DataGroomr

DataGroomr is AI-powered data quality platform for Salesforce helping organizations maintain accurate complete trusted CRM data combining intelligent deduplication duplicate prevention cleansing enrichment verification monitoring import management automation using machine learning and generative AI.

  • AI AgentData QualityCRM
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