Fluent Support and AI Agents workflows you can build
Each one uses only triggers and actions the two integrations ship today, plus FlowMattic's own tools. Where the library has a ready-made template, import it instead of building from scratch.
Ready-made template Post a first answer and a topic tag on every new ticket
The agent reads the subject and message, answers common questions from the instructions you give it and tags the ticket by topic, so your team starts from a sorted queue.
Ticket Created→Execute Agent→Reply to Ticket→Add Tag to Ticket (Pro)
View the templateHold AI-drafted replies until a person approves them
For teams not ready to let AI answer customers, the draft waits in a Human in the Loop step. Approve it and it posts as a ticket reply; reject it and nothing is sent.
Ticket Created→Execute Agent→Human in the Loop→Reply to Ticket
Ready-made template Tag frustrated customers from the tone of their replies
Each customer reply is read for sentiment. When the agent judges the customer upset or close to leaving, a Filter lets the workflow tag the ticket so a senior agent picks it up next.
Customer Replies to a Ticket→Execute Agent→Filter→Add Tag to Ticket (Pro)
View the template
Ready-made template Send billing complaints to finance with a tag and a reply
The agent decides whether a new ticket is about a charge, refund or invoice. A Router tags those for finance and posts a holding reply, while other tickets carry on as usual.
Ticket Created→Execute Agent→Router→Add Tag to Ticket (Pro)→Reply to Ticket
View the templateEmail the support lead a morning summary of open tickets
A daily Schedule pulls the ticket list and the agent groups it by theme and urgency, so the lead knows where the day's effort should go before reading a single ticket.
Schedule→Get All Tickets→Execute Agent→Email (SMTP)
Turn messages from another app into tickets only when needed
A Webhook catches messages from a chat widget or an outside form. The agent decides whether each one needs support and writes a clear subject, and only those become tickets.
Webhook→Execute Agent→Filter→Create a New Ticket Using Customer
Save a short summary of each closed ticket
When an agent closes a ticket, the AI agent condenses the problem and the fix into a few lines and stores them in WP Tables, which slowly builds a record your team can search.
Agent Closes a Ticket→Get Specific Ticket→Execute Agent→WP Tables