VerlyAI

Additional capabilities include a complete, integrated platform comprising five core products: AI Helpdesk, Chat Widget, Shared Inbox, Knowledge Base, and Analytics, all built on the same core to eliminate the need for multiple integrations. The AI Helpdesk automatically classifies, drafts, and resolves tickets, with human intervention only for exceptional cases. The system captures signals like full conversation summaries, detected intents, suggested macro replies, and priority levels to streamline workflows. This integration means teams can switch between functions without changing tools, maintaining shared context and unified data across all support activities, which dramatically simplifies operations.

Technically, VerlyAI works by first crawling and indexing a business's knowledge base, which can include websites, Notion, Confluence, PDFs, and FAQs, in just minutes. No prompt engineering is required; the agent learns the business context and tone automatically. Deployment is equally straightforward, requiring just one line of JavaScript for web chat, a phone number setup for voice, or a WhatsApp Business API connection. The platform uses advanced AI models that understand context and nuance, enabling multi-turn conversations and access to knowledge bases for performing actions like checking orders or booking appointments, all while maintaining continuous context throughout interactions.

Key benefits and measurable outcomes for users include a drastic reduction in support costs—up to 80%—along with the ability to handle unlimited conversations simultaneously. Businesses achieve average first reply times of under 500 milliseconds for voice and 4 seconds for chat, with 24/7 availability across 95+ languages. The platform reports that 72% of conversations are auto-resolved by AI, preserving 100% context during handoffs. These improvements lead to higher customer satisfaction, increased agent productivity, and the elimination of seasonal hiring needs, as the AI scales effortlessly to handle peak traffic without additional human resources.

Concrete use cases are evident across six highlighted industries. For B2B SaaS, VerlyAI handles onboarding, feature questions, and troubleshooting across voice, WhatsApp, and chat with shared context. In e-commerce, it automates order tracking, returns, and recommendations across channels, managing peak traffic without extra hiring. Healthcare providers use it for appointment scheduling, reminders, and follow-ups via voice AI, freeing staff for patient care. Real estate agencies employ it for instant lead qualification via WhatsApp and voice, collecting requirements and scheduling viewings. Educational institutions offer 24/7 course and assignment support, while travel and hospitality businesses manage bookings, itinerary changes, and recommendations in numerous languages.

The target users include support teams, customer service managers, and businesses in SaaS, e-commerce, healthcare, real estate, education, and travel seeking to automate support. Integrations are seamless with popular tools like HubSpot, Slack, and Zendesk, and the tech stack supports secure data handling with encryption and compliance standards. Pricing plans are flexible, starting with a free tier offering 50 messages monthly, followed by Hobby at $29.99/month, Standard at $79.99/month, and Pro at $249.99/month, all featuring unlimited conversations and payment based on features and team size rather than usage, with enterprise plans available for custom needs.

In summary, VerlyAI provides an enterprise-ready, secure, and continuously learning AI platform that transforms customer support by delivering instant, omnichannel assistance at scale. It eliminates the inefficiencies of traditional tools and point solutions, offering a unified system that learns from every interaction to improve over time. Businesses can deploy in minutes, cut costs significantly, and ensure consistent, high-quality support that adapts to their unique needs, making it an invaluable solution for modern customer service operations.

Updated 2026-02-28