Support Automation
From Hours to Minutes on First Response
AI agents triage, draft responses, and route complex tickets inside your existing help desk. Handle 60-80% of support volume automatically while your team focuses on high-value conversations.
Support Volume Grows Faster Than Your Team
Support ticket volume grows with your business — typically 30-50% per year. But your support team cannot grow at the same rate. A fully loaded support hire costs $60,000-$90,000, takes 2-4 months to onboard, and still needs to learn your product and processes.
Meanwhile, 60-80% of incoming tickets follow predictable patterns: password resets, billing questions, feature how-tos, known bugs, onboarding guidance. Your experienced support agents spend most of their day on work that follows a script. First response time slips, CSAT scores drift, and churn increases.
What We Build
The agent does not replace your support team. It handles the repetitive pattern-matching so they can focus on complex, high-value conversations that require human judgment and empathy.
Ticket Classification
Incoming tickets are automatically categorized by type, urgency, and sentiment. Routing rules ensure the right person sees the right tickets.
Response Drafting
For common categories, the agent drafts a response using your knowledge base and historical resolutions. During the first 30 days, every draft is human-approved before sending.
Context-Rich Escalation
When a ticket requires a human, the agent provides a summary of the issue, relevant customer history, and suggested resolution — so the human starts informed, not from scratch.
Multi-Channel Coordination
Tickets from email, chat, and Slack are normalized and handled through a single agent workflow. Internal notes and CRM updates happen automatically.
Expected Outcomes
Integrates With Your Help Desk
We deploy directly inside the tools your support team already uses.
Help Desk Platforms
Zendesk, Intercom, Freshdesk, or email-based support
Communication Channels
Email, live chat, and Slack — normalized into a single workflow
Knowledge Sources
Your existing knowledge base, historical resolutions, and product documentation
CRM & Internal Tools
Automatic CRM updates and internal notes with every ticket interaction
How We Deploy Support Automation
We start with your highest-volume, most predictable ticket categories and expand from there.
Every deployment includes a 30-day human-approval period so your team stays in control during the transition.
Audit Ticket Patterns
We analyze your last 90 days of tickets to identify the repeatable categories, common resolutions, and routing patterns that the agent will handle.
Build and Train the Agent
We connect the agent to your help desk and knowledge base, configure classification rules, and train response drafting on your historical data.
Human-in-the-Loop Launch
For the first 30 days, every agent-drafted response is reviewed by a human before sending. This builds confidence and catches edge cases early.
Graduated Autonomy
As accuracy is validated, the agent handles more categories independently. Your team monitors quality metrics and adjusts routing rules over time.
Who This Is For
If your support team is spending most of their day on predictable, script-following work, this solution pays for itself within months.
SaaS Companies
Companies with 50+ tickets per day where patterns are visible and first response time directly impacts churn and revenue.
Existing Help Desk Users
Organizations using Zendesk, Intercom, Freshdesk, or email-based support who want to scale without proportionally scaling the team.
Growth-Stage Support Teams
Support leaders who need to handle 2x ticket volume with the same team size while maintaining or improving CSAT scores.
Ready to Cut First-Response Time?
Book a discovery call to assess your support workflow and see how AI agents can handle the predictable majority.