Cover Image for AI Agents in Action — The Urgent Need to Unify Data for AI-Driven Support Automation
Cover Image for AI Agents in Action — The Urgent Need to Unify Data for AI-Driven Support Automation
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AI Agents in Action — The Urgent Need to Unify Data for AI-Driven Support Automation

Hosted by Harshita Raman & Richard Marr
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About Event

Traditional Chatbots and Deflection Are Failing. Here’s Why.

Most “AI for support” stops at answers, not resolution.

For years, support teams have been sold chatbots and deflection tools that look smart on the surface but break down on real enterprise problems. They summarize. They retrieve. But they can’t do—they can’t update a ticket, provision a service, or resolve an issue across systems.

This webinar shows why that model is broken, and how DevRev’s Computer for Support—our AI agent platform—uses unified data to actually close the loop.


The Problem: Why Current AI Can’t Resolve Issues

  • 95% of AI pilots stall in the novelty phase
    Most initiatives are just “the next version of search” (retrieval + summarization). They never become action-oriented, so they fail to deliver measurable business value.

  • Data silos block real answers
    General-purpose models don’t have secure access to your private enterprise data—customer opportunities, internal updates, ticket history—so they can’t answer specific, high-value questions or take precise action.

  • Fragmented tools, fragmented workflows
    Jira for engineering, Salesforce for CRM, Slack for conversations, plus internal tools and legacy systems. Human agents constantly Alt-Tab between systems. Most AI solutions simply mirror this fragmentation instead of fixing it.

  • Frustrated customers, repetitive agent work
    Weak self-service experiences drive escalations. Highly skilled agents are stuck answering the same basic questions instead of solving harder problems or improving the product.

  • No visibility into root causes
    Buried across thousands of tickets might be one global issue (e.g., a “worldwide printing error”)—but without connected data, teams can’t see the pattern. That kills true Problem Management and keeps ticket volume high.


Who Should Attend

This session is designed for:

  • CX and Support leaders modernizing self-service and agent workflows

  • Operations leaders responsible for tools, data, and process efficiency

  • Support transformation and AI leaders driving AI initiatives beyond pilots


Join us to see how Computer for Support unifies your data, powers AI agents that act—not just answer—and transforms your support organization into an intelligent, automated, and truly customer-centric system.

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