Give your support team an AI agent that works from your real knowledge base.
Buda helps support teams run ticket triage, knowledge-base search, answer drafting, escalation summaries, QA review, and help center cleanup with agents working from one shared support workspace.
Why customer support teams need an AI agent, not just another chatbot
How Buda turns customer support knowledge into an AI support workspace
One AI team per support queue
Ticket triage agent, knowledge-base agent, reply drafting agent, escalation summary agent, QA review agent, and help center update agent work from the same support workspace.
See capabilitiesAgents prepare answers, summaries, and handoffs
Agents can classify tickets, find the right support source, draft replies, summarize long conversations, and prepare escalation notes so humans can review faster.
See workflowsTurn scattered support files into execution
Help docs, SOPs, product notes, refund rules, troubleshooting guides, customer history, and internal policies stay connected in one workspace.
Start with docsThe practical building blocks behind AI Agent for Customer Support
Specialized agents. One shared workspace. Every output is a reviewable artifact, not a black box.
Ticket triage agent
Classify incoming tickets by topic, urgency, product area, customer type, sentiment, and escalation risk.
Knowledge base agent
Search help docs, SOPs, PDFs, product notes, refund rules, troubleshooting guides, and internal policies to find the right source for each customer question.
Reply drafting agent
Turn customer questions and approved support sources into clear, brand-safe reply drafts that humans can review before sending.
Hi Maya β saw your team is opening the Austin facility in Q3. We helped Northwave hold service levels through a 31% spike β worth a 20-min call?
Technical support handoff agent
Summarize screenshots, logs, error messages, product versions, reproduction steps, and known issues before escalation.
QA review agent
Review drafted replies for accuracy, tone, missing context, unsupported claims, policy risk, and unclear next steps.
Help center update agent
Find repeated support questions, outdated docs, missing instructions, and topics that should become new FAQ or help center content.
Spin up your AI customer support agent pod in 30 minutes.
Pick a workflow, assign the agents, watch the first support artifact land. Free pilot β no credit card.
Start with one useful support workflow, then expand.
Choose one repeated support workflow with clear inputs, a visible owner, and a reviewable output.
FAQ answer drafting
Agents search approved support sources and draft clear responses to repeated customer questions for human review.
Start this workflowTicket triage
Incoming requests are sorted by topic, urgency, product area, sentiment, customer type, and escalation risk.
Triage fasterTechnical escalation summaries
Agents summarize long conversations, screenshots, logs, error messages, product versions, and reproduction steps before handoff.
Prepare handoffsRefund and policy review
Agents match requests against refund rules, subscription terms, internal policies, and support history before humans decide.
Review safelyHelp center cleanup
Repeated questions, outdated docs, and missing instructions become a prioritized help center update queue.
Find content gapsHow to pilot an AI agent for customer support in 4 weeks
Four weeks. One workflow. A clear, measurable support outcome before you scale.
Choose one customer support workflow
Start with FAQ answer drafting, ticket triage, technical escalation summaries, refund review, or help center cleanup. Keep the scope narrow enough that output quality is easy to review.
Assign agents and controls
Create the workspace, invite support teammates, add files, assign agents, and define approval rules. Decide what AI can draft, what it can summarize, and what always needs human review.
Measure output and review quality
Review answer drafts, source usage, escalation notes, credit usage, ownership, and execution history before expanding scope.
Expand or stop cleanly
If the workflow proves value, repeat the model in another queue, product area, or support process. If not, keep a governed record of agents, files, outputs, reviews, and lessons learned.
Launch your AI agent for customer support with Buda
Resolve more tickets with agents instead of more manual work. Start with FAQ answer drafting, ticket triage, technical support handoff, refund policy review, or help center cleanup.