Support teams had given up on AI. Then came Computer.

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Support teams had given up on AI.  Then came Computer.

Your support team is talented. Genuinely talented. But they're stretched to breaking point. Ticket volumes keep ballooning. Customers expect answers faster than ever. The same issues keep repeating because knowledge is buried in a Slack thread from six months ago. And leadership keeps asking you to reduce cost-to-serve without hampering quality (as if those two things aren't constantly at odds).

Meanwhile, your systems have only gotten more complex. Support tickets live in Zendesk. Customer history lives in Salesforce. Past resolutions? Buried somewhere in a Confluence doc that someone definitely linked to that one time. Another tool here, another integration there, until your team is spending half their day context-switching between twenty tabs instead of actually helping customers.

It's not a skill problem. It's a structural one. And it's unsustainable.

Meanwhile, executives keep asking if you've "tried AI yet."

You have. Everyone has. And mostly, it's been disappointing. Chatbots that hallucinate. Summarizers that miss the point. Tools that promise automation but deliver more work. According to a study by BCG, only 28% of companies have unlocked any real value from customer service AI. So here we are, announcing another AI for customer support teams. Yes, we know you've heard promises before. Let us tell you why this one's different.

Meet Computer, your new AI teammate

Computer isn't another bolt-on AI that just reads your tickets and spits out vague suggestions. It's a fully integrated teammate that connects to everything: your tickets, your customer data, your knowledge base, your Slack channels, your Jira boards, and more.

All of it. Connected. Searchable. Actionable.

The secret? Computer Memory, our patented knowledge graph that creates clear relationships between your products, your customers, and every piece of information your organization has ever generated. When your support team asks about an issue, Computer doesn't just keyword-match. It understands context: all related tickets, the customer's full history, ongoing incidents, dependencies, risks. Everything. And because Computer learns from every interaction and resolution, it gets smarter every day.

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What Computer actually does for support teams

Resolves tickets faster: Computer can suggest next steps based on how similar issues were resolved before. It can draft replies that account for ticket history, linked engineering issues, and customer sentiment. It can search across every tool and data source your team uses, within seconds, not hours.

One of our customers, Bolt, saw 40% faster ticket resolution after deploying Computer. That's not a pilot metric. That's production, at scale.

Handles the time-killing stuff: Triage. Tagging. Routing. Updating systems of record. All the tasks that make talented support people feel like data entry clerks? Computer automates them. So your team can spend more time on conversations that matter.

"Reassign all open tickets from Priya to Jenna and mark them as escalated."

Done. Eight tickets moved, escalated tags added, changes logged. Want Computer to notify Jenna with a summary? Just say the word.

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Works proactively on your behalf: Computer can scan live tickets for escalation risk based on sentiment analysis and SLA timelines. It can identify gaps in your knowledge base and draft articles to fill them. It can score recent interactions for quality and flag coaching opportunities.

This isn't "AI that summarizes." This is AI that acts.

Why Computer works when other AIs don't?

Most AI tools fail in customer support for one simple reason: they're built on fragmented data. They connect to some systems but not others. They can read information but can't write it back. They generate nice-sounding text that's completely disconnected from your actual operations.

Computer is different because of two things we invented (and patented):

Computer AirSync: A bidirectional sync engine that connects to the systems your team already uses—Salesforce, Jira, Slack, Confluence, Datadog, PagerDuty, Google Drive, Notion, and more—and keeps data updated automatically. Changes in Computer sync back to your systems of record. Changes in your systems sync to Computer. No more stale data.

Computer Memory: An AI-native knowledge graph that doesn't just store data, it understands relationships. Between your products and your customers. Between tickets and incidents. Between past resolutions and current problems. This is what enables Computer to reason, not just retrieve.

The combination means Computer can do things other AI tools can't: create a Jira bug from a ticket and link them automatically, check your incident management system for ongoing issues affecting a customer, update Salesforce records while simultaneously notifying the right Slack channel.

All in one request. All synced everywhere.

When we onboarded our team to Computer, they realized it offered a completely new way of working. They don't need to use all these different tools to monitor and respond to customer tickets.

Abhiram Kramadhati
Abhiram Kramadhati Former Director - Technical Support, Uniphore

Ready to free support teams from the grind?

Look, we know you're skeptical. After years of AI tools that underdelivered, you should be.

But here's the thing: the companies that figure out how to actually deploy AI in support, not as a gimmick, but as a genuine force multiplier, are going to pull ahead. Fast. Customer expectations will keep rising. Ticket volumes will keep growing. The talented people on your team deserve better than spending their days tab-hopping and manually updating CRMs.

Computer gives them better. Computer gives your customers better. And honestly? It's about time. Book a demo and see what happens when AI actually works.

P.S. — Still on Zendesk, Salesforce, or Intercom? Computer can work as an AI teammate on top of your existing tools. But it can also replace them entirely. Ask us about the Computer+ Support App: a purpose-built agentic solution for customer support teams.

Rajat Radhakrishnan
Rajat RadhakrishnanProduct Marketing at DevRev

Rajat, an avid enthusiast of brand and marketing, expertly crafts stories on cutting-edge AI and customer support innovations at DevRev.

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