Build an AI customer support agent
Deploy an AI support agent on Spikefrost that resolves tickets across Slack, email, and chat — taking real actions, not just answering — and escalates cleanly. Book a demo.
Most support bots disappoint because they can only talk. An AI customer support agent on Spikefrost can actually do the thing the customer asked for — and only pulls in a human when judgment is required.
What you'll build
A support agent that:
- Answers from your own knowledge — help center, policies, past tickets.
- Takes real actions — issues a refund, updates an order, resets access — instead of handing over a link.
- Works every channel — Slack, email, web chat, WhatsApp — as one continuous conversation.
- Escalates cleanly, handing a human the full thread and context.
See how AI customer support agents work for the details.
Why Spikefrost
- Resolve, don't just deflect. Scoped tools mean the agent closes cases, not just answers them.
- Safe by construction. Grant the exact actions a role needs; sensitive ones stay gated. Isolation and audit are defaults, so a prompt mistake can't become a breach.
- Built in an afternoon. Describe the agent, connect your channels, go live.
The outcome
Faster resolutions, lower ticket volume on humans, and a clean audit trail of everything the agent did — across every channel your customers use.
Book a demo to see it resolve a real ticket end to end.
Frequently asked questions
Can the support agent take actions, not just answer?
Yes. Because it's granted scoped tools, it can issue a refund, update an order, or reset access — closing the loop — while anything outside its scope is gated and escalated to a human.
How does it avoid making mistakes on sensitive actions?
You scope what it can do at design time. An agent can be allowed to answer freely while never being granted the refund tool, for example. Every action it does take is logged and attributable.