Doc-grounded replies
For frontline support teams and help desks.
Your worker checks the help center, policy docs, and known fixes before it writes back, so customers get the same answer every time.
Deploy AI workers that answer from your docs, triage the queue, and flag recurring issues before they stack up.
No credit card needed · 14-day free trial
Real AI workers: draft the reply, close the loop, escalate what needs a human
AI Workers use cases
Ground every response in your docs, route the repetitive work, and hand humans only the exceptions that need judgment.
For frontline support teams and help desks.
Your worker checks the help center, policy docs, and known fixes before it writes back, so customers get the same answer every time.
For teams that need to separate routine from urgent.
Cluster duplicates, label priority, and route each message to the right owner before a human opens the thread.
For support issues that deserve engineering attention.
When the same problem shows up again, your worker bundles the evidence and sends engineering a clean summary, not a pile of replies.
For email, chat, and social support.
Keep one playbook across inboxes, chat, and social channels so the answer is consistent no matter where the customer writes.
For brands that care about voice as much as speed.
Calm, plain, and on-brand responses are generated from your guidance, not from a guess in the moment.
For global teams and overnight queues.
Your worker keeps the queue moving around the clock and leaves only the cases that need judgment for the morning shift.
Your support worker plugs into inboxes, ticketing systems, docs, and chat apps without a setup marathon.
Support operations
Your worker pulls context, drafts the reply, and hands engineering the patterns that need a fix.
Step 1
Pull the message, account details, and previous thread before anyone has to search for them.
Step 2
Check the help center, draft the response, and keep every answer aligned with the same source of truth.
Step 3
Bundle repeat reports into a clean note for engineering, with examples instead of guesswork.
Let AI handle the repetitive replies, and keep humans on the exceptions that matter.