Tool overview
Regal is listed under Customer Support AI tools.
What is Regal?
Regal helps enterprise contact centers build, deploy, monitor, and improve AI agents across phone, SMS, chat, and WebRTC. Its platform combines agent building, customer context, journey orchestration, simulations, conversation intelligence, analytics, and human-agent handoff.
Best for
Enterprise contact centers deploying AI agents across voice and digital channels
Who is it for?
Decision note
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Key features
Phone, SMS, chat, and WebRTC AI agents
No-code agent and journey builders
Unified customer profiles and event data
Simulations, analytics, and quality monitoring
Human-agent desktop and escalation workflows
Use cases
Automating inbound customer support
Qualifying high-intent leads
Scheduling appointments and bookings
Running compliant collections outreach
Handling high-volume seasonal calls
Pros
- Broad enterprise contact-center scope
- Official developer documentation and integrations
- Direct partner lead-registration program
Cons
- Pricing requires a sales conversation
- Designed for larger contact-center volumes
- Complex deployments need governance and testing
Limitations
AI agents can misunderstand intent, mishandle sensitive data, or create compliance risk in regulated conversations. Enterprises should test edge cases, control actions, monitor quality, preserve escalation paths, and review consent and recording requirements.
Pricing details
Billing options
Pricing note
Regal publishes custom pricing based on team-specific factors, selected features, spend commitment, and contract length. The pricing page says the platform targets enterprise organizations, using at least 75 agents or 150,000 monthly calls as a practical size proxy.
Supported languages
- English
Integrations
CRM systems
Contact-center platforms
Customer data platforms
Event-based data sources




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