it_support · media · workflow

Moveworks agentic AI assistant gives social media company a ridiculously fast help desk

The social media company's IT team faced communication bottlenecks because employees were not receiving critical updates, creating preventable incidents that pulled IT into firefighting. Available automation options were either rules-based workflows requiring constant maintenance or experimental AI too slow to deliver real impact.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Employee asks in Slack
Employees ask questions naturally in Slack instead of searching across emails, portals, or knowledge bases.
Tools used
Moveworks
Outcome

With Moveworks, the company reduced avoidable issues at scale, including one communications campaign that cut follow-on tickets by 99 percent, and achieved dramatically higher employee engagement through targeted Slack-based messaging.

What failed first

Both available automation paths — rules-based workflows and experimental AI — failed to solve the core problem of getting critical information to employees quickly.

Results
Volume99%
Source

https://www.moveworks.com/us/en/customers/social-media-company-ai-use-cases-for-high-speed-help-desk

How we source this →

Grounding & classification
Source type: vendor customer story
24 fields verified against source quotes.
agentic workflowconversational aiknowledge searchsupport agentknowledge basesupport ticketfailure mode describedmetric backedproduction runtime claimedtools describedworkflow describedmediasoftwaredeflection rateemployee productivityvendor customer storyit supportticket triageautonomous resolutionintake to triage