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Your support team is drowning in repetitive tickets

When customers can't find answers in your documentation, they flood your helpdesk. Your agents spend hours answering the same questions while critical issues wait in the queue.

Without Docsie

  • Support agents manually answer the same documentation questions dozens of times per day
  • Ticket volume climbs 20-30% each quarter as your product grows and customer base expands
  • First response times suffer because agents are buried in 'Where do I find X?' tickets
  • No visibility into which documentation gaps are driving the most support contacts
Recommended

With Docsie

  • AI chatbot instantly answers repetitive questions 24/7, deflecting 40-60% of documentation-related tickets
  • Ticket volume stays flat or decreases even as your customer base grows
  • Agents focus on complex issues that require human expertise and judgment
  • Analytics show exactly which topics generate the most questions so you can improve your docs

Why Docsie

Reduce ticket volume without hiring more agents

Turn your documentation into a self-service powerhouse that actually works.

Measurable Ticket Deflection

Track exactly how many tickets your AI chatbot prevents each week. Most support teams see 40-60% deflection on documentation-related questions within the first month. That means your agents can finally focus on the conversations that actually need their expertise instead of copy-pasting from your docs.

Instant Answers, Any Time

Your customers don't work 9-to-5, and neither does the chatbot. It answers questions instantly at 2 AM or during peak hours when your queue is overflowing. No more Monday morning ticket avalanches or frustrated customers waiting hours for simple answers that are already in your documentation.

Find Your Documentation Gaps

See which questions the chatbot can't answer and which topics come up most often. This tells you exactly where your documentation is falling short so you can fix the root cause of repetitive tickets instead of just treating symptoms. Close the loop between support insights and better docs.

Real-World Use Cases

See how support teams use AI chat to cut ticket volume and improve customer satisfaction.

Handling onboarding questions at scale
SaaS Support

Handling onboarding questions at scale

A fast-growing SaaS company was drowning in basic setup and configuration questions from new customers. Their small support team couldn't keep up with 30% quarter-over-quarter growth. The AI chatbot now handles 70% of onboarding questions, walking customers through setup with screenshots and step-by-step guidance pulled directly from their documentation.

  • Reduced onboarding-related tickets by 70% in first 60 days
  • New customers get instant answers during trial period when speed matters most
  • Support team refocused on helping customers achieve business outcomes instead of basic setup
Preventing ticket spikes after releases
Product Updates

Preventing ticket spikes after releases

Every product release used to trigger a flood of 'how do I...' tickets that overwhelmed the support queue for days. Now when documentation is updated for new features, the AI chatbot immediately knows the answers. Customers find what they need without opening tickets, and the team can focus on genuine bugs and feedback.

  • Post-release ticket spikes reduced by 55%
  • Chatbot automatically stays current with latest documentation changes
  • Better customer experience during the critical first week after feature launches
Scaling support for global customers
Enterprise Support

Scaling support for global customers

An enterprise software company needed to support customers across 12 time zones without tripling their support headcount. The AI chatbot provides instant answers in multiple languages, handling regional differences in documentation. Their support leaders finally stopped getting budget rejections for additional headcount.

  • Maintained service levels while customer base grew 40% with same team size
  • 24/7 coverage across all time zones without night shift costs
  • Consistent answers across regions based on localized documentation

Key Features

Everything you need to deflect tickets and improve self-service success rates.

Sourced Answers with Citations

Every answer includes the exact documentation page it came from, so customers can verify and dig deeper if needed

Answers Include Screenshots

Chatbot pulls relevant images and diagrams from your docs, not just text, for visual learners

Learns from Your Documentation

No training required—point it at your published docs and it's ready to answer questions immediately

Deflection Analytics

See exactly how many tickets you're preventing and which topics generate the most questions

Conversation Transcripts

Review what customers are asking to identify documentation gaps and trending issues before they flood your queue

Always Up to Date

When you update your docs, the chatbot automatically knows the new information—no manual retraining

Common Questions

Frequently Asked Questions

What support leaders want to know about AI-powered ticket deflection.

Getting Started

Most Popular

Q: How long does it take to see ticket volume reduction?

A: Most support teams see measurable deflection within the first week after turning on the chatbot. The AI works immediately—no training period required. Typical deflection rates are 40-60% on documentation-related questions within the first month as customers discover and trust the chatbot.

Q: What if the chatbot gives wrong answers?

A: The chatbot only pulls information from your published documentation, so answers are only as accurate as your docs. Every answer includes a citation showing exactly where it came from, so customers can verify. If the chatbot doesn't know something, it says so instead of guessing—and you can see these gaps in your analytics to fix them.

Q: Do we need to write our documentation differently?

A: No. The AI works with your existing documentation structure and writing style. That said, you'll quickly see which topics generate the most questions, which helps you improve your docs over time. Better documentation makes both the chatbot and your entire self-service experience more effective.

Security & Compliance

Q: Can we control what information the chatbot has access to?

A: Yes. The chatbot only accesses documentation you've published through Docsie. If certain content is in draft status or restricted, the chatbot won't see it. You have full control over what gets published and therefore what the chatbot can reference in its answers.

Q: Where is customer conversation data stored?

A: All chat conversations are stored securely and encrypted. You can review conversation transcripts in your Docsie dashboard to identify trends and documentation gaps. We never use your data to train models for other customers—your information stays yours.

Still have questions?

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