Case study · AI systems
Air AI runs inbound and outbound phone calls with agents that sound human, remember previous conversations, and act inside the business systems behind them.
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Air AI replaces or augments call-centre work — outbound sales, inbound support, lead qualification, appointment scheduling — with agents that can carry a genuine conversation rather than walk a caller through a phone tree.
The bar is uncomfortably high. People forgive a chatbot; they hang up on a voice that stalls, talks over them, or forgets what they said ninety seconds ago.
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A long voice conversation is a real-time systems problem. Latency has to stay below the threshold where a pause reads as a malfunction, state has to persist across a call that may run forty minutes, and memory has to carry across separate calls weeks apart.
On top of that the agent has to actually do things — log the call, update the record, book the follow-up — which means it is only as useful as its integration into the CRM behind it.
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We built the infrastructure underneath the conversation — orchestration, state, memory and integrations — so the agent is a working part of the customer's operation rather than a demo.
The unglamorous truth about voice AI: the model is the easy part. Latency budgets, session state, reconnection handling and CRM write-backs are what decide whether it survives contact with real callers.
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Conversation length supported with full recall
Agents handling volume without human presence
Calls logged and records updated in the systems behind them
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