Build a universal AI support agent from your files.
Buda is different from a normal chatbot: your support brain lives in Drive. Drop in manuals, FAQs, policies, SOPs, and internal notes, then let agents retrieve grounded answers across web support pages, WhatsApp, Telegram, Feishu, WeCom, Slack, Discord, or third-party systems through OpenAPI.
Most AI support projects fail before the first answer.
Build a workflow around Drive-based AI Customer Service.
Drive is the knowledge base
Upload the files your team already trusts. Agents retrieve from manuals, FAQs, policies, SOPs, and support notes.
Agent retrieval beats fixed Q&A
Customers can ask messy, natural questions. The agent searches context instead of matching one exact FAQ phrase.
One support brain, many channels
Create a web support page, connect WhatsApp, or embed the Agent through OpenAPI. The knowledge stays consistent because Drive is the source.
Answer product, shipping, return, warranty, and order-policy questions from uploaded SOPs.
The practical building blocks behind Drive-based AI Customer Service.
Specialized agents. One shared workspace. Every output is a reviewable artifact, not a black box.
File-grounded answers
Answers come from your uploaded product docs, FAQ, policy pages, onboarding guides, and SOPs.
Read-only support mode
Keep customer-facing agents limited to reading knowledge files, with write tools disabled at the channel layer.
Session isolation
Each customer conversation stays in its own Chat Session, so histories and context do not mix.
Hi Maya — saw your team is opening the Austin facility in Q3. We helped Northwave hold service levels through a 31% spike — worth a 20-min call?
Human escalation
Unknown, refund, complaint, legal, and high-risk cases can route to human support with context attached.
Knowledge gap loop
Unanswered questions tell you which files, policies, or help-center pages need improvement.
Interface-ready
Use the same support brain behind a web support page, WhatsApp, Telegram, Discord, Slack, Feishu, WeCom, or a third-party OpenAPI integration.
Spin up your drive-based ai customer service pod in 30 minutes.
Pick a workflow, assign the agents, watch the first artifact land. Free pilot — no credit card.
Start with the support workflow that repeats every day.
The first version does not need a perfect knowledge base. Pick one product, policy, or service area and improve from real questions.
E-commerce support
Answer product, shipping, return, warranty, and order-policy questions from uploaded SOPs.
Start this workflowSaaS onboarding support
Guide users through setup, billing, feature usage, and troubleshooting from docs and release notes.
Start this workflowCourse and community support
Respond to curriculum, schedule, replay, assignment, and membership questions across groups.
Start this workflowInternal service desk
Let employees ask HR, IT, admin, and finance questions from internal policies and forms.
Start this workflowStart with one useful workflow, then expand.
Four weeks. One workflow. A clear, measurable outcome before you scale.
Choose one workflow
Start with E-commerce support. Keep the scope narrow enough that the output is easy to review.
Assign agents and controls
Create the workspace, invite members, assign agents, define files, tools, and usage boundaries.
Measure output and spend
Review artifacts, credit usage, ownership, and execution history before expanding scope.
Expand or stop cleanly
If the workflow proves value, repeat the model in another team. If not, you still have a governed record.
Your support knowledge is already in files. Put it to work.
Create a read-only support agent, upload the files customers ask about, and connect one channel for the first pilot.