When your support inbox fills up, the real problem is not just volume — it is the time lost sorting, chasing, tagging, and rewriting the same replies all day. AI agents help your team clear the queue faster, keep requests moving, and reduce the mistakes that happen when every message needs a manual touch.
The same inbox, but very different workload and pace.
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.
A realistic support inbox flow your team already handles today, with AI agents doing the repetitive parts.
The intake agent reads the subject, message, and sender details, then identifies what the customer needs and how urgent it looks.
The context agent pulls the relevant details into one view so the agent does not waste time searching across systems.
The drafting agent writes a clear first response based on the issue type, policy, and available context, then leaves room for the agent to review.
The follow-up agent sets the next check-in, reminds the team when a response is due, and keeps the case from sitting untouched.
The closing agent updates the status, records the resolution type, and captures the reason for the contact so reporting stays clean.
These agents fit the work your team already does: sorting, replying, escalating, following up, and closing tickets.
Reads incoming emails, identifies the request type, and assigns priority as soon as the message lands in the inbox.
Uses the customer’s message and case notes to draft a reply when a response is needed.
Pulls order details, account notes, and prior email history when a case needs background before a reply.
Checks open cases and sends reminders when a customer reply, internal approval, or document is still pending.
Detects complaints, refunds, cancellations, and sensitive issues, then routes them when escalation is needed.
Updates the case summary, resolution type, and contact reason after the issue is closed.
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 incoming emails, draft first replies, route requests, and follow up on open cases so your team spends less time on inbox admin and more time closing customer issues.
Directional outcomes from reducing manual inbox work, not inflated promises.
"The biggest change was not speed alone — it was that the inbox stopped feeling like a daily fire drill."
Questions owners and operators usually ask before they put AI agents into a live support inbox.
If your team is still sorting, rewriting, and chasing the same emails by hand, now is the time to put AI agents on the repetitive work before the backlog gets worse.