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Structured requests run through deterministic workflows, open-ended ones through LLM reasoning, so every customer gets a fast, accurate answer without hold time or transfers.
AI agents decide and act on their own, but every decision stays visible to Conversational Intelligence, so performance is measured with evidence, not assumed.
Rising conversation volume no longer means rising staff costs. AI agents absorb the growth, so scale becomes a capability, not a cost.
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Structured, regulated requests get the precision of deterministic workflows; open-ended ones get the flexibility of LLM reasoning, so you're never paying LLM costs for a simple request.
Every conversation reaches the right specialist agent from the first message, even when the request shifts mid-conversation, without the customer noticing the handoff.
Supervisor and sub-agent design mirrors how your teams are already structured, keeping each agent narrow and focused instead of overloading one bot with every tool.
Describe what you need in plain language, and Agent Builder asks the right business questions, then generates the full design (instructions, tools, persona, architecture) for your approval before anything is created.
Agents pull answers directly from your knowledge base, including tables, charts, and scanned documents, so responses stay grounded in what your business actually knows.
The same AI agent handles voice, chat, and messaging under one architecture, and can place outbound calls to follow up proactively, not just wait for customers to reach out.
Agents take real action through API integrations, connect to tools like Google Sheets, Outlook, and Slack, and automatically update your CRM or open tickets once a conversation ends.
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Support built to hold up in production, not just in a sales demo.
Speech recognition, text-to-speech, NLU, sentiment, and PII masking are all built in-house, refined over 25+ years of R&D, so you're never dependent on Google, Amazon, or Microsoft.
NLU precision and LLM reasoning work under one architecture, so enterprises with mature NLU deployments migrate gradually, alongside what already works, not all at once.
An AI testing framework simulates real customer conversations against your own success criteria before launch, and production dashboards keep tracking performance after it.
Three-layer security, PII masking, and SSO/LDAP support meet enterprise IT requirements, with cloud, on-premise, or hybrid deployment across eight or more LLM providers and no vendor lock-in.
Connect Agentic AI, Conversational Intelligence, and Agent Copilot across the SESTEK Agentic CX Suite for consistent, context-aware support across every interaction.
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