SKYDIVE FOR CUSTOMER SUPPORT
Support that finishes the ticket, end-to-end.
Agents that triage, respond, resolve, in a fraction of the time.
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Agents that triage, respond, resolve, in a fraction of the time.
Agents that run routines in the background, so your team can spend time with the customers who need them.
Support agents work across Help Scout, Zoho Desk, Slack, your database and codebase, logging in and navigating the way you would.
Tell an agent what you need, let it take care of the rest. Build out your entire team the same way.
No workflow to wire, just have a conversation and it's done.
Connect your agents instantly, and they'll work together to maintain full flows and pipelines.
Connect agents to your help desk, point them at your docs and code, and they're handling tickets the same afternoon.
We don't just build Skydive, we run our company on it. Our team puts agents to work every day (they even helped build this page).
"Skydive truly transforms your entire company by automating all of the tedious tasks that consume so much of your day"
Minutes. Describe the outcome you need, connect your help desk (like Help Scout or Zoho Desk), and your agents start working. Pre-built templates for triage, root cause, escalations, and macros are ready from day one. No workflow to build, no prompt engineering, no canvas to construct.
Help Scout, Zoho Desk, Slack, your database and codebase, plus Gmail, Notion, and more. If your stack includes custom or internal systems, MCP support lets your agents connect without waiting for a pre-built integration.
Both. Each agent has its own computer with a browser, so it can read your logs, query your database, and trace an issue through your code the same way an engineer would. Your agent then drafts a reply, explaining the fix in plain language.
Yes. If a team member creates an agent, they control the permissions for who gets to view, edit, or use it. For example, create a central agent that handles a problem or workflow that improves the team process at large.
You correct it once, and it remembers. If a draft is too formal or misses your policy, your feedback sticks. Your agents learn from your corrections, and get sharper the longer they work with you. Judgement you build into agents carries across conversations and the whole team.
Your agents log into your existing tools using your credentials, and your data stays in your systems. Secrets are encrypted, permissions are scoped per agent, and your data may be used to improve our models unless you opt out.
