Ground answers in your business
Give a specialist agent relevant policies, product information, and other approved knowledge sources, then show which source supports an answer.
Agent Studio / Planned
On the roadmap · not available to use yet
Give an AI agent a job, a source, and a handoff path.
Agent Studio is planned as a separate place to set up specialist AI agents for customer conversations. The goal is to let a business define what an agent knows, test its answers, and decide when a person should take over.
Knowledge & rules
Store hoursSundays · 11 am to 7 pm
Returns policyReference for eligible returns
Human handoffComplaints go to the team
Test conversationDraft only
Test trace · answer foundMatched the shop-hours source before drafting a reply.
Complaint · hand to a personPass the question and a short conversation summary to the team.
01 / Why it helps
A clearer way to prepare AI for real conversations.
Test before release
Try realistic customer questions, inspect the proposed response and action trace, and adjust the setup before an agent handles live chats.
Make the human handoff useful
Route an issue to a teammate when the agent cannot answer or a defined situation needs a person, with a concise summary and conversation context.
02 / Planned workflow
From setup to a supervised conversation.
- 01
Define a specialist
Choose the agent's purpose, connect the knowledge it may use, and set rules for the questions it should handle.
- 02
Test and review
Check sample conversations, source references, and action traces before deciding whether the agent is ready for deployment.
- 03
Route and monitor
Send relevant conversations to the agent, keep its work visible in the inbox, and hand exceptions to a person with context.
03 / Availability
Agent Studio is planned
The separate Agent Studio, knowledge sources, testing, deployment, monitoring, intent-based routing, source visibility, and AI-to-human escalation still need to be built and verified. The illustrative test above does not run an agent. Live use will also depend on Chatflow's AI provider and WhatsApp setup for each customer.
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