TechnologyMarketing

How Commvault Uses Writer to Cut Content Work from Hours to Minutes

Commvault is a cyber-resilience platform that protects and recovers enterprise data across environments globally. The company deployed Writer’s generative AI platform to accelerate content creation, sales enablement, and knowledge sharing—building a custom internal chat app called Ask Commvault Cloud using Writer Knowledge Graph. The result was an 80% daily adoption rate among marketing staff and content timelines compressed from hours to under 20 minutes.

Outcomes

20 minutesContent work compressed: 8–12 hours to 20 minutes
10 minutesWeb copy time reduced
7 pagesTechnical documentation reduced
WeeksCustom chat app deployment time
80%Marketing team daily adoption
InstantSelf-described ROI realization

Tools & Technologies

1WK
Writer Knowledge Graph
Knowledge graph component by Writer for connecting enterprise data to power grounded AI responses.
2W
Writer
Enterprise AI writing platform by Writer helping teams produce on-brand content at scale.

AI Categories

Challenge

Commvault needed to generate high volumes of accurate, on-brand content and rapidly upskill a global sales team on new product positioning and buyer personas while undergoing a full platform repositioning—a pace that manual content workflows could not sustain.

Solution

Commvault deployed Writer as its enterprise generative AI platform and built Ask Commvault Cloud—a custom internal chat app powered by Writer Knowledge Graph—that connects sales reps to curated product, competitive, and customer documentation for instant, persona-specific answers.

Full Story

Commvault operates at the intersection of data security and business continuity, protecting organizations against ransomware, cyber attacks, and infrastructure failures across on-premises and cloud environments. With thousands of enterprise customers and a global go-to-market team, the company’s ability to move quickly—repositioning its platform, launching new products, and equipping sales reps with up-to-date messaging—depends on content velocity at a scale that traditional workflows cannot sustain.

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