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Integrate Datagma with AI Agents

Runbear’s AI agent syncs your team’s new leads from Slack and auto-enriches them with Datagma data, posting results directly to your channel. Enhance your Datagma workflows with AI-powered automation in Slack, Teams, and Discord.

Weekly Lead List Enrichment in Slack
Runbear’s AI agent syncs your team’s new leads from Slack and auto-enriches them with Datagma data, posting results directly to your channel.
Instant Prospect Research On-Demand
Ask the AI agent in Slack for contact insights—Runbear fetches Datagma’s enriched data and delivers a full research summary instantly.
Automated Account Segmentation Reports
Schedule the AI agent to analyze Datagma-enriched contacts, classify accounts by criteria, and post visual segmentation charts for your team.
CRM Data Quality Insights in Slack
Have the AI agent routinely audit CRM records via Datagma and highlight incomplete or outdated entries for your team, boosting data accuracy.
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Modern sales and operations teams rely on up-to-date, rich contact and company data to drive growth—but finding, sharing, and acting on this intelligence can be slow and fragmented. By combining Datagma’s best-in-class data enrichment with Runbear’s AI agent platform, teams can instantly turn Slack or Teams into a smart command center—where insights, research, and actions all happen automatically, within your daily conversations.

About Datagma

Datagma is a powerful B2B data enrichment platform that equips businesses and revenue teams with current, comprehensive information on contacts and companies. It draws from real-time web intelligence to enhance records with 75+ data points—from job titles, seniority, and location to firmographic and financial details. Datagma supports bulk enrichment via file upload, real-time CRM sync (notably with HubSpot), easy data pulls through its API, and a Chrome extension for extracting LinkedIn contact details on the fly. Typical users range from sales and marketing teams seeking to boost targeting accuracy and personalization, to RevOps teams focused on delivering actionable, fresh CRM data. What sets Datagma apart is its all-in-one enrichment and real-time updates—making it a favorite among agile teams needing timely, actionable data to drive performance.

Use Cases in Practice

Let’s get hands-on with what Runbear’s AI agent and Datagma integration actually unlock for teams. Instead of emailing files or running scripts outside your workflow, you can trigger intelligent enrichment and analysis directly from your team chat. Picture this: posting a list of new prospects in Slack and having the AI agent pull in Datagma’s full profiles for each—no manual data gathering. Or, think about kicking off a scheduled weekly account segmentation report, so managers see fresh lists and charts right where collaboration happens. For sales teams, on-demand research is now a DM away: just ask the AI agent for the latest details on a lead, and share insights instantly. Meanwhile, operations leads benefit from proactive CRM data quality checks that flag issues for your team—boosting both accuracy and speed. These use cases are modeled after how teams already leverage AI agents for business analytics, as we outlined in Simplify Your Business Analytics, and how instant data access transforms workflows in guides like Instantly Query Excel Reports in Slack—No More Manual Data Checks. Bringing Datagma into the mix elevates these everyday workstreams with richer data, greater automation, and more collaborative intelligence.

Datagma vs Datagma + AI Agent: Key Differences

Datagma Comparison Table

Integrating Datagma with Runbear transforms static enrichment into collaborative, automated team workflows. Runbear’s AI agent unlocks real-time query, conversation-driven research, scheduled analytics, and accessible data insights—all from your chat tool, removing the friction of switching apps and making enrichment instant for the entire team.

Implementation Considerations

Teams moving to Datagma-powered automation should plan for several practical steps:

  • Setup & Integration: While Datagma offers robust API and CRM integrations, pairing it with Runbear for team chat automation requires permissions setup and bot configuration in Slack or Teams.
  • Training & Adoption: Teams need to adopt new habits—like using natural language to run enrichment tasks—so upfront training on Runbear’s conversational interface is vital.
  • Change Management: Shifting from individual, manual research to collaborative, automated workflows involves rethinking processes and ensuring all members are engaged.
  • Cost-Benefit Analysis: Factor the added platform and per-user costs against real productivity gains—especially for large teams processing frequent or complex enrichments.
  • Security & Data Governance: Ensure both Datagma and Runbear meet compliance and data privacy requirements, particularly for sensitive company or personal data. Preparing on these fronts helps teams maximize ROI and ensures a smooth transition to AI-driven enrichment.

Get Started Today

Combining Datagma with Runbear’s intelligent AI agent means your team never waits for valuable data, misses a detail, or wastes time on manual enrichment again. By automating research, analytics, and collaboration in the tools your team already loves, this integration turns enriched data into immediate action. The future of B2B growth is AI-powered, conversational, and seamlessly connected—so invite a smart AI agent to your next team workflow and experience the Datagma advantage inside Slack or Teams today.