No. While the platform is commonly used to build chatbots, it is designed for enterprise-grade conversational experiences that integrate with systems, knowledge bases, and APIs. It supports real-time, contextual interactions across digital channels, not just static question-answer bots.

The Conversational AI Platform focuses on interaction and dialogue. It handles conversations, retrieves information, and connects users to systems through natural language. The Agentic AI Platform is designed for autonomous execution, such as running workflows, approvals, and multi-step decision processes. Many enterprises start with conversational experiences and later add agentic capabilities when needed.

Yes. The platform can integrate with enterprise systems and dynamic APIs, enabling conversations that include real-time data access such as status checks, account information, service requests, and transactional lookups.

The platform supports omnichannel, text-based and messaging experiences, including: Web chat and bot sites, Messaging platforms such as WhatsApp, Facebook Messenger, and Instagram, Any text or messaging channel that supports secure integration. It can also connect with voice assistants such as Alexa for conversational access where required. Telephony and call-based voice interactions are handled via the Voice AI Platform.

Yes. The platform is built with enterprise readiness, governance, and auditability in mind. It supports access controls, logging, environment separation, and deployment options that align with regulated and compliance-driven environments.

Yes. The Conversational AI Platform supports cloud, private cloud, and on-premise deployments, allowing organizations to meet data residency, security, and infrastructure requirements.

The platform is designed to be model-agnostic. It can work with enterprise-approved AI models and configurations based on organizational policies and deployment preferences.

Absolutely. Many organizations begin with conversation-first experiences and later extend into agent-driven automation using the Agentic AI Platform. This can be done without replatforming or rebuilding existing conversational flows.

The platform provides visibility into conversation behavior, resolution patterns, and usage trends. Teams can continuously refine intents, responses, and knowledge sources to improve accuracy, efficiency, and outcomes over time.