Design omnichannel chatbots with routing, NLP/LLM, analytics, and system integrations
No sign-up required • Free to try
Visualize NLU, LLMs, dialogue policies, memory, and channel adapters for conversations
Automate tier-1 support with retrieval, workflows, and human escalation paths
Design AI IVRs with telephony, ASR, dialogue, and TTS pipelines tuned for low latency
Common questions about ai chatbot platform diagram generator
Add connectors for web, mobile, email, SMS, and messaging apps. Normalize events before routing to NLP/LLM.
Use intent classifiers for known flows and LLM fallback for long-tail questions. Add guardrails and retrieval for grounded answers.
Show handoff via ticketing or live chat with full conversation context, user metadata, and transcripts.
Include user profile, purchase history, and permissions in the context builder so answers reflect user state.
Log containment rates, CSAT, intent accuracy, deflection, latency, and cost. Feed analytics to improve prompts and flows.
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