AI agents for support workflows
Create agents with skills, policies, actions, macros, escalation rules, and knowledge tuned to your company.
Valet.red helps customer support teams resolve common requests, collect the right context, and route the hard cases to humans with the full story attached.
Valet is designed around the work that actually matters: resolving conversations, collecting structured context, and making escalation cleaner for your team.
Create agents with skills, policies, actions, macros, escalation rules, and knowledge tuned to your company.
When the AI cannot solve it, Valet routes the conversation with reason, user context, history, and collected fields.
See escalations, SLA trends, unresolved questions, rating coverage, and where your AI agent needs better skills.
Build, test, and tune your support agent before paying. Once live, pricing is usage-based, so smaller teams only pay for what they use.
AI is getting better and cheaper. You should benefit from that too.
Fixed software pricing locks you into yesterday's economics. Valet is usage-based because support automation should get more efficient over time. As model costs fall or resolution quality improves, your pricing should scale with real usage — not arbitrary seats or rigid tiers.
Go from blank workspace to a live AI support system without forcing your team into a giant migration.
Bring in tickets, help docs, common issues, macros, and the customer context your team already relies on. Sync Zendesk in real time and run side-by-side until you're ready to fully switch.
Drop in your requirements — skills, escalation rules, topics, routing — and the Designer sets the whole agent up for you. No manual config grind.
Run chat tests and replay scenarios so you can see how the agent behaves before customers ever interact with it.
Turn on usage-based pricing only after you're ready. Keep humans in the loop for VIPs, risky cases, and exceptions.
Short answers for teams evaluating Valet.red.
You can build and test for free. Billing starts once you go live with real customer conversations.
Because AI is getting better and cheaper. Fixed pricing makes customers pay the same even when automation costs fall. Valet is usage-based so your bill follows real support volume and improves as AI resolution becomes more efficient.
Instead of charging per seat, Valet is designed around actual usage. Low-volume teams should not have to pay enterprise software prices.
A typical AI resolution costs around 1–5 cents depending on the average ticket length, model usage, and actions taken.
No. Valet is designed to sit alongside your support operation. It resolves what it can and escalates what needs a human.
Yes. Valet is built around testing, conversation history, escalation categorization, analytics, and operator review.
Start free, build your agent, test it, and go live when you're ready. Usage-based pricing means you can start small and scale as your support volume grows.