Build Your AI Agent
Human-like conversations with real outcomes
Step 1
Unify Your Enterprise Data Layer
Connect legacy systems and cloud services via APIs into a united, governed data layer. Allow AI agents to securely access customer data, transactions, business rules, and proprietary knowledge in real time—while maintaining enterprise security, compliance, and governance standards.
Step 2
Define Enterprise-Grade Workflows & Business Logic
Natural language workflow builder, allows you to convert SOPs and complex processes into executable AI logic without coding. CX teams can quickly configure complex rules and change AI Agents behavior without waiting for engineering support.
Step 3
Configure Intelligent Human Escalations
Define precise escalation policies to seamlessly hand off conversations to the right human expert with full context and intent. Reduce unnecessary escalations by up to 40% while ensuring critical issues reach humans instantly.
Step 4
Evaluate → Build → Release
Simulate live conversations, and review it end-to-end to understand how users might behave, where edge cases occur, and how failures are handled. Use these insights to refine prompts, logic, and data. Then validate with tests and deploy, monitoring performance in real-world use
Build
Step 5
Deploy Across All Customer Touchpoints
Deliver consistent, enterprise-grade experiences across chat, email, messaging. One AI engine, unified context, and centralised governance across every interaction.
Voice *
SMS *
* Upcoming Feature
