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Autonomous CX: Useful Automation or Another Layer of Complexity?

Most "autonomous CX" announcements are solving a problem you don't actually have — while ignoring the one costing you revenue every week. The current wave of agentic AI hype promises self-running cus

Most "autonomous CX" announcements are solving a problem you don't actually have — while ignoring the one costing you revenue every week.

The current wave of agentic AI hype promises self-running customer experiences: bots that handle tickets, route issues, and close loops without human input. Sounds good on a slide deck. In practice, it layers AI decision-making on top of CRM data that's already incomplete, workflows that already don't match how your team operates, and processes nobody fully documented in the first place.

Garbage in, autonomous garbage out.

If your CRM can't tell you which accounts are at risk this quarter without someone manually pulling a report, adding an AI agent on top doesn't fix that. It just automates the confusion at higher speed. The ops leaders who've been burned by Salesforce customizations, Zoho workarounds, or a six-month HubSpot migration know exactly what this looks like — a new capability sitting on a broken foundation.

The automation question isn't "how do we make our CX autonomous?" It's "do we actually trust the data and workflows underneath enough to let anything run on autopilot?"

If the answer is no, that's the real project.

#CRM #SalesOps #CustomerExperience #B2BMarketing #OperationsLeadership

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