AI software · Regal
Promote Regal Voice AI Agent Platform
Regal Voice AI Agent Platform
Enterprise platform to build, deploy, and manage human-sounding voice, SMS, and chat AI Agents across the customer lifecycle.
Partner summary
The offer at a glance
A quick read on buyer fit, pitch, economics, and promotion fit.
Best buyer
Contact center and CX leaders at high-volume B2C companies
Main outcome
Up to 97% of inbound support calls contained by AI Agents.
Commission
To be confirmed
Best channels
Content Marketing And Blog, Seo, Email To Owned Lists, Partner Co-Marketing
Terms
Regulated B2C context. Outbound contact requires TCPA consent. Regal states SOC2, HIPAA, GDPR, CCPA, PCI, and TCPA alignment and no model training on customer data
Main pitch
Regal lets CX and revenue teams build human-sounding voice, SMS, and chat AI Agents with a no-code builder, then orchestrate AI and human agents on one platform. It plugs into...
Economics
Partner terms
Commission, pricing model, and review timing for this listing.
Commercial terms
Partner terms
Founder confirmation required before partners promote this listing.
- Commission
- To be confirmed
- Pricing
- Subscription
- Duration
- —
- Review period
- 30 days
Pricing tiers
Custom (Contact Sales)
PrimaryCustom/ custom
Tracks Demo Request
- No-code AI Voice Agent Builder
- Phone, SMS, and chat AI Agents
- Unified Customer Profile and Journey Builder
- IVR and intelligent routing
- A/B testing, simulations, and conversation intelligence
Who this converts for
The buyers this offer is shaped for. Match your reach to the strongest audience fit.
Contact center and CX leaders at high-volume B2C companies
Engage and resolve high-volume customer conversations instantly and consistently across voice, SMS, and chat without adding headcount.
Pain points
- Fragmented customer data across touchpoints
- Legacy low-touch contact center software without personalization or A/B testing
- Limited channels to engage customers on demand
- Slow speed-to-lead and inconsistent qualification
- Rising cost to serve and hold times at peak volume
Desired outcomes
- Higher inbound containment without lower CSAT
- Lower cost to serve
- Instant speed-to-lead and higher conversion
- 24/7 omnichannel coverage
- Unified AI and human orchestration
Contact Center & CX Leaders
Operators who own customer experience, containment, CSAT, and cost-to-serve across high-volume voice, SMS, and chat channels.
Pain points
- Missing or fragmented customer data across touchpoints
- Legacy low-touch contact center software with no personalization or A/B testing
- Limited channels to reach customers on demand
- Rising cost to serve and hold times during peak volume
Desired outcomes
- Higher inbound containment without lower CSAT
- Lower cost to serve
- 24/7 instant coverage across channels
- One platform to orchestrate AI and human agents
B2C Sales & Revenue Operations Leaders
Leaders responsible for speed-to-lead, lead qualification, and conversion in high-volume consumer sales motions.
Pain points
- Slow speed-to-lead lets interest go cold
- Cannot reach and qualify enough leads with human agents
- Inconsistent qualification quality at scale
Desired outcomes
- Instant speed-to-lead on every inbound
- Qualify and convert at human-level quality at scale
- More engaged calls and higher bind rate
Collections & Servicing Operations Leaders
Teams running high-volume payment recovery and servicing calls that need higher recovery rates and compliance control.
Pain points
- Repetitive collections tasks consume agent time
- Inconsistent recovery rates
- Compliance risk on outbound contact
Desired outcomes
- Higher recovery rates than human-only teams
- Automation of repetitive recovery tasks
- Compliance-aware outreach
Digital marketing and DTC commerce leaders
Engage and resolve high-volume customer conversations instantly and consistently across voice, SMS, and chat without adding headcount.
Enrollment and growth leaders in education
Engage and resolve high-volume customer conversations instantly and consistently across voice, SMS, and chat without adding headcount.
Why partners convert here
When to pitch this, and the outcomes the buyer actually gets.
Use cases
- Automate inbound customer support
- Automate inbound customer support
- AI lead qualification and speed-to-lead
- AI lead qualification and speed-to-lead
- Appointment setting and reminders
- Appointment setting and reminders
- Collections and payment recovery
- Collections and payment recovery
- High-volume bookings automation
- High-volume bookings automation
Outcomes
Higher inbound containment without lower CSAT
Lower cost to serve
Instant speed-to-lead and higher conversion
24/7 omnichannel coverage
Unified AI and human orchestration
Trusted by leading enterprises
EvidenceCustomer testimonials
EvidencePositive third-party review ratings
EvidenceEnterprise security and compliance
Evidence40+ integrations
EvidenceReported 97% inbound containment, 80% cost-to-serve reduction, 0-second answer time, and 4x faster speed-to-lead
Enterprise scale cited at 200M+ calls, $5B revenue driven, and 10M+ ROI-positive interactions per month
Structured data reports aggregate review ratings of 5.0 (30 reviews) and 4.8 (23 reviews)
SOC2, HIPAA, PCI, CCPA, GDPR, and TCPA alignment with 99.9% uptime and no model training on customer data
40+ integrations across CRMs, CCaaS, and marketing platforms
Named customers include Kin Insurance, Ethos, Embrace Pet Insurance, Toyota Auto Insurance, LiveEasy, and Collegis
Before · After
Automate inbound customer support
Before
Customers wait on hold or get ignored when the team is at capacity or offline, dragging down CSAT and raising cost to serve.
After
AI Agents answer instantly with no wait time, resolve routine inquiries, and escalate complex cases to humans with full context.
Expected outcome: High inbound containment with maintained or improved CSAT and lower cost to serve.
What makes this different
Where this offer beats the alternatives.
Built by contact center operators with deep CX know-how
No-code AI Agent Builder with full CX control
Unified voice, SMS, and chat logic with shared data and flows
Orchestration of AI and human agents in one platform
Enterprise security and compliance with no model training on customer data
40+ CRM, CCaaS, and marketing integrations
Promotion strategy
Partner playbook
Angles, questions, objections, and inputs to keep outreach sharp.
Value proposition
Enterprise platform to build, deploy, and manage human-sounding voice, SMS, and chat AI Agents across the customer lifecycle.
How to pitch
Regal lets CX and revenue teams build human-sounding voice, SMS, and chat AI Agents with a no-code builder, then orchestrate AI and human agents on one platform. It plugs into existing CRM and CCaaS without replacing infrastructure and is built for regulated, high-volume B2C operations in insurance, healthcare, financial services, education, and local services. Lead with containment, speed-to-lead, and cost-to-serve outcomes, and target contact center and revenue operations leaders.
Positioning
The enterprise AI Agent platform built by contact center operators: human-sounding voice, SMS, and chat agents you can build, test, and manage without engineering, unified with customer data and orchestration across AI and human teams.
Best angles to test
- Cut cost to serve while protecting CSAT
- Zero wait time and 24/7 coverage for inbound
- Instant speed-to-lead for high-volume B2C sales
- No-code control for CX teams without engineering tickets
- Regulated-industry compliance with no model training on customer data
- Regal helps businesses build, improve, and manage voice, SMS, and chat AI Agents
- No-code AI Agent Builder for CX teams
- Integrates with 40+ tools including major CRMs and CCaaS
- Speaks 30+ languages
- States SOC2, HIPAA, GDPR, CCPA, PCI, and TCPA alignment and no model training on customer data
- Used by enterprises in insurance, healthcare, financial services, and education
Angles to avoid
- Do not claim guaranteed revenue or ROI
- Do not claim results are typical
- Do not state extracted outcome metrics as guaranteed or verified
- Do not claim official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
Discovery questions
- What is your current inbound containment rate and cost to serve?
- How fast do you reach and qualify new leads today?
- Which CRM and CCaaS tools must this integrate with?
- What compliance requirements apply to your customer conversations?
- Where are missed calls or hold times hurting CSAT or conversion most?
Disqualifiers
- Low-volume B2B teams with mostly bespoke
- relationship-led conversations and no high-volume phone
- SMS
- or chat operations.
Target keywords
Objections & responses
“Will customers know they are talking to an AI?”
Response: Regal states its conversational AI is designed to respond in a professional, natural way, with specialists able to step in when needed; in the US there is no legal requirement to disclose AI on inbound calls, though many customers choose to.
“Is our customer data safe and is it used to train models?”
Response: Regal states it does not train proprietary models and integrates with OpenAI, Anthropic, and Gemini under agreements that prohibit training on customer data, with SOC2 and HIPAA-aligned practices.
“Will this work for our regulated, high-volume industry?”
Response: Regal is positioned for regulated B2C in insurance, healthcare, financial services, education, and collections, with TCPA consent handling, compliance controls, and named customers in these verticals.
“Do we need engineers or to replace our contact center stack?”
Response: Regal provides a no-code AI Agent Builder and integrates directly with existing CRM, CCaaS, and payment systems, so teams can deploy without replacing infrastructure or relying on engineering tickets.
Rules
Promotion rules
Where you can promote, what is restricted, and what the founder requires.
Allowed channels
Restricted channels
- AI-generated content
- Yes
- Content reuse
- No
- Founder approval
- Yes
Approved claims
- Regal helps businesses build, improve, and manage voice, SMS, and chat AI Agents
- No-code AI Agent Builder for CX teams
- Integrates with 40+ tools including major CRMs and CCaaS
- Speaks 30+ languages
- States SOC2, HIPAA, GDPR, CCPA, PCI, and TCPA alignment and no model training on customer data
- Used by enterprises in insurance, healthcare, financial services, and education
Claims to avoid
- Do not claim guaranteed revenue or ROI
- Do not claim results are typical
- Do not state extracted outcome metrics as guaranteed or verified
- Do not claim official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
Compliance notes
- Regulated B2C context. Outbound contact requires TCPA consent. Regal states SOC2, HIPAA, GDPR, CCPA, PCI, and TCPA alignment and no model training on customer data
- partners must not overstate compliance or outcomes, and outcome metrics are website-extracted and unverified.
Evidence
Proof & trust signals
Claims, evidence links, and operational trust signals partners can lean on.
Proof points
- Inbound containment rate: 97 %
- Cost-to-serve reduction: 80 %
- Speed-to-lead improvement: 4 x
- CSAT: 90 %
- Monthly ROI-positive interactions: 10,000,000 interactions/month
- Higher inbound containment without lower CSAT
- Lower cost to serve
- Instant speed-to-lead and higher conversion
- 24/7 omnichannel coverage
- Unified AI and human orchestration
- Trusted by leading enterprises
- Customer testimonials
- Positive third-party review ratings
- Enterprise security and compliance
- 40+ integrations
- Reported 97% inbound containment, 80% cost-to-serve reduction, 0-second answer time, and 4x faster speed-to-lead
- Enterprise scale cited at 200M+ calls, $5B revenue driven, and 10M+ ROI-positive interactions per month
- Structured data reports aggregate review ratings of 5.0 (30 reviews) and 4.8 (23 reviews)
- SOC2, HIPAA, PCI, CCPA, GDPR, and TCPA alignment with 99.9% uptime and no model training on customer data
- 40+ integrations across CRMs, CCaaS, and marketing platforms
- Named customers include Kin Insurance, Ethos, Embrace Pet Insurance, Toyota Auto Insurance, LiveEasy, and Collegis
Proof links
- Regal website
Official Regal AI Agent platform website.
- Regal homepage hero
Regal AI Agent platform homepage visual.
- AI Voice Agent Builder
No-code AI Voice Agent Builder interface.
About Regal
Regal is an AI Agent platform built by contact center operators that lets CX and revenue teams design, test, and deploy human-sounding voice, SMS, and chat AI Agents using a no-code AI Agent Builder. It unifies customer data into a real-time profile, orchestrates AI and human agents in one platform, and adds Journey Builder, IVR routing, A/B testing, simulations, conversation intelligence, and analytics. Regal integrates with existing CRM and CCaaS stacks and is built for high-volume, regulated B2C operations across healthcare, insurance, financial services, education, and local services.
More offers in AI software
Other listings partners commonly compare against this one.
Pifini.ai
AI software
AI-native revenue enablement platform that unifies training, content, AI coaching, and partner enablement in one workspace.
Commission
Commission not confirmed yet
SpeechGen.io
AI software
AI text-to-speech studio with 5,000+ realistic voices, voice cloning, subtitle dubbing, and transcription in 150 languages.
Commission
Commission not confirmed yet
Voice.ai Voice AI Agent and TTS Platform
AI software
Enterprise-ready AI voice agents, text-to-speech, and voice cloning with low-latency APIs and cloud or on-prem deployment.
Commission
Commission not confirmed yet