Support queues pile up fast when every ticket needs a human to read it, sort it, answer it, and chase the next step. That means slow first replies, inconsistent handoffs, and agents spending the day on repeat questions instead of the issues that actually need judgment. AI agents help your team clear the queue faster, keep responses consistent, and give customers a quicker path to resolution.
The same support queue, but far less manual sorting, copying, and chasing.
No engineering team required. Go from idea to running agent in minutes.
Tell the agent what it should do — in plain language. Or choose from a library of ready-made agent templates built for your industry. No code, no configuration files.
Link your email, CRM, spreadsheets, Slack, or any other tool with one click. The agent reads, writes, and acts across all your connected apps automatically.
Hit start. Your agent runs 24/7 and sends you a clear summary of everything it did — what it found, what it acted on, and what needs your attention.
One realistic ticket flow from first customer message to final resolution.
The agent reads the message, pulls in account details, and identifies the issue type, urgency, and likely owner before anyone touches the queue.
The agent drafts a clear first response using the customer’s history, the product area involved, and your standard support language.
The agent asks for the exact logs, screenshots, plan type, or steps to reproduce so the team does not waste time going back and forth.
The agent creates a clean handoff with the problem summary, customer impact, and everything already tried so the next team can act quickly.
The agent checks for stale tickets, sends the right follow-up, and closes the loop once the customer confirms the issue is resolved.
Use agents to handle the repetitive parts of support so your team can focus on the cases that need judgment.
Reads each incoming ticket, identifies the issue type, urgency, and owner, and acts as soon as the ticket arrives.
Uses the customer message, account history, and your support macros to draft a reply when an agent opens the ticket.
Checks incomplete tickets and asks for the missing screenshots, logs, plan details, or steps to reproduce when the case stalls.
Builds a clean escalation note from the ticket thread, customer impact, and prior troubleshooting when a case needs product, engineering, or billing help.
Checks open tickets for stale replies and sends a reminder or status update when a case has been waiting too long.
Reviews solved tickets and suggests new help articles or updates when the same issue keeps appearing.
See how we stack up against manual work and every other automation tool on the market.
One-click connections. No API keys, no developer setup required.
Use AI agents to triage tickets, draft replies, route issues, and follow up on open cases so your support team spends less time on repetitive work and more time closing real problems.
Directional results from support operations that remove repetitive work and tighten follow-through.
"The biggest win was not speed alone. It was getting the queue under control so the team could stop living in the inbox."
Common questions support leaders ask before adding AI agents.
If your support team is still spending hours sorting tickets, drafting the same replies, and chasing stale follow-ups, AI agents can take that work off the plate now.