AI agents trained on your product knowledge that handle tier-1 support tickets, answer FAQs, and escalate the issues that genuinely need a human.
60-80% of support tickets are variations of the same 20-30 questions. An AI support agent trained on your knowledge base, past ticket resolutions, and product documentation can handle this tier-1 volume without a human — and respond faster than any human could.
We build support agents that read inbound tickets, classify intent and urgency, pull the relevant answer from your knowledge base, and respond with context-aware language that matches your brand voice. When something falls outside its confidence threshold, it escalates with a full summary to the right team member.
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All tier-1 workload that currently lands in your team's queue.
Reads inbound questions, finds the relevant answer in your knowledge base, and responds with accurate, brand-consistent language.
Categorizes every ticket by type, urgency, and department. Routes automatically to the right queue or person — no manual triage.
Connects to your order management or CRM to pull account and order status in real time and respond to customer inquiries directly.
Handles standard refund and return requests against your policy criteria, initiates the process in your system, and notifies the customer.
When a ticket falls outside its capability, the agent escalates with a full summary — ticket history, what was tried, customer sentiment — so the human can respond fast.
Handles tickets from email, live chat, and web forms through a single unified agent. Same training, consistent responses across every channel.
The agent is trained on your help center, past ticket resolutions, and product documentation. We update the knowledge base as your product evolves.
Low-confidence responses are not sent. They are flagged and routed to a human with a summary — preventing bad AI answers from reaching customers.
Integrates with Freshdesk, Zendesk, Intercom, and similar platforms via API. Fits into your existing support workflow without replacing it.
We set a confidence threshold — if the agent is not highly confident in its answer, it escalates rather than responding. We also A/B test answers against your team's resolutions and tune the training data based on error patterns.
Typically 1-2 weeks to ingest your knowledge base, configure the integration, and test against a sample of historical tickets. First version is usually ready within 2 weeks of kickoff.
It handles the repetitive volume — typically 50-70% of tickets — so your team can focus on complex issues, relationship management, and edge cases. It's not a replacement for human support, it's a force multiplier.
We audit the knowledge base as part of onboarding and flag gaps or outdated content. Part of the setup is getting your documentation to a quality level where the agent can reliably answer from it.
Tell us about your current support volume and what types of tickets are most common. We'll scope an agent that handles the tier-1 load. Free discovery call.
