Dialog Management means = deciding what to do next.
But something else makes Voice AI feel human instead of robotic:
๐ง Context and memory.

๐ช๐ต๐ ๐ฐ๐ผ๐ป๐๐ฒ๐
๐ ๐บ๐ฎ๐๐๐ฒ๐ฟ๐
Consider this exchange:
๐ฃ๏ธ "Book me a flight to Paris."
๐ฃ๏ธ "Make it business class."
That second sentence only makes sense if the system remembers the first.
That's context.
๐ช๐ต๐ฎ๐ ๐ฐ๐ผ๐ป๐๐ฒ๐
๐ & ๐บ๐ฒ๐บ๐ผ๐ฟ๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐ถ๐ป๐ฐ๐น๐๐ฑ๐ฒ:
โ ๐ฆ๐ต๐ผ๐ฟ๐-๐๐ฒ๐ฟ๐บ ๐ฐ๐ผ๐ป๐๐ฒ๐
๐ (session memory)
๐นRecent turns.
๐นSlot values.
๐นCorrections.
๐นCurrent dialog state.
โ ๐๐ผ๐ป๐ด-๐๐ฒ๐ฟ๐บ ๐บ๐ฒ๐บ๐ผ๐ฟ๐
๐นUser preferences.
๐นPast interactions.
๐นFrequent locations.
๐นKnowledge (RAG documents).
This information feeds directly into Dialog Management so the system can make better decisions.
Without memory, every interaction would feel like the first one.
LLMs can reason - but the architecture decides what to remember, when to retrieve it, and when to forget.
That balance is what makes Voice AI feel natural and safe.
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