AI Agents for Customer Support
Resolve account inquiries, product questions, and service issues across voice and chat, with context pulled from your CRM and helpdesk.
Trusted by leading enterprises

Automate support without losing the human touch
Omnichannel AI-powered agents span the full support journey — helping your team deliver better outcomes at lower cost, without compromising on quality or compliance.
Resolve routine queries instantly
Order tracking, billing, and account issues handled in seconds, lowering cost per resolution.
Free up human agents
Your team focuses on high-value conversations that need empathy, strategy, or judgement.
Meet compliance requirements
Zero-retention modes, encryption in transit and at rest, and full auditability.
Conversational agents for every support workflow
Deploy AI-powered agents tailored to your team structure, customer type, and channel. No matter how specific the workflow.
Resolve account inquiries, product questions, and service issues across voice and chat, with context pulled from your CRM and helpdesk.
Conversational agents for every kind of support team
Serving in-house help desks, outsourcers, e-commerce operations, and subscription businesses.
In-house help desks
Resolve tier-one volume end to end and hand everything else over with the full context attached.
Outsourcers and BPOs
Add capacity per client without hiring against it, in every language that client needs.
E-commerce and subscriptions
Order status, returns, and billing questions answered the moment they're asked.
Minutes of conversations every month
Why teams pick urvo for customer support
Everything you need to run support conversations in production — not a demo. Resolution rate, latency, and conversion are tracked per conversation from the first call.
Live in days, not quarters
A forward-deployed engineer maps your workflows and ships your first agent.
Grounded in your data
Answers come from your documents, CRM records, and policies — never invented.
Human handoff that works
Warm transfers with full context, so nobody repeats themselves.
One platform for every support workflow
Connect to your operating systems and deploy across all voice and digital channels. All from one platform.
Customer Support Agent / Main
Knowledge Base
Add documentSearch Knowledge Base...
- Comms GuidelinesFeb 8, 2026, 9:20 AM
- Products & ServicesFeb 8, 2026, 9:20 AM
- Features & CapabilitiesFeb 8, 2026, 9:20 AM
- Support PlaybookFeb 8, 2026, 9:20 AM
- TroubleshootingFeb 8, 2026, 9:20 AM
- yourcompany.com/refund-policyFeb 8, 2026, 9:20 AM
- yourcompany.com/subscriptionsFeb 8, 2026, 9:20 AM
- yourcompany.com/changelogFeb 8, 2026, 9:20 AM
What support teams put agents on first
The contacts that are high in volume and low in variation — and the ones that arrive when nobody is rostered.
Tier-one resolution
Answer the repeat questions end to end, from your own documentation, without opening a ticket.
Account and order lookups
Find the record, read back what it says, and act on it where the flow allows.
Status chasing
Handle the where-is-it call, which is pure volume and almost never needs a person.
Returns and refunds
Take the request, check it against policy, and start the process or explain why it doesn't qualify.
Escalation with context
Hand off warm, with the transcript and the fields already collected, so nobody repeats themselves.
Out-of-hours cover
Keep the line answered overnight and at weekends instead of pointing it at a voicemail box.
Getting started
Launch on the web
Build a custom, no-code support agent in minutes via our web console — upload criteria, rules, and SOPs.
- I can't get into my account.
- The login locked after three attempts. Shall I send a reset link?
- Yes please.
- Sent to the address on file. The link works for the next hour.
Build with Solaris
Describe the support agent you want and Solaris drafts the workflow, wires up the tools, and sets the guardrails for you to review.
Explore other use cases
Frequently asked questions
Teams typically automate 50-70% of routine contacts within the first quarter, depending on knowledge coverage.









