Question 1

What does a conversational AI agency do?

Accepted Answer

A conversational AI agency builds voice and text dialogue systems — IVR replacements, voice assistants, speech-to-text pipelines, and multi-turn chatbots. They work with ASR platforms (Whisper, Google Speech-to-Text, AWS Transcribe) and TTS systems alongside LLMs to build end-to-end voice and text conversation experiences.

Question 2

How much does conversational AI development cost?

Accepted Answer

Conversational AI projects range from $15,000 for a focused text-based conversational agent to $150,000+ for enterprise voice systems with telephony integration. Mid-complexity conversational AI with multi-turn context and escalation handling runs $25,000–$75,000.

Question 3

How long does conversational AI development take?

Accepted Answer

A text-based conversational AI system takes 4–10 weeks. Voice systems with ASR, TTS, and telephony integration take 8–20 weeks. Enterprise-grade voice platforms with multi-language support and compliance requirements take 4–9 months.

Question 4

What tools do conversational AI agencies use?

Accepted Answer

Conversational AI agencies work with ASR platforms (OpenAI Whisper, Google Speech, AWS Transcribe), TTS services (ElevenLabs, Amazon Polly, Google TTS), LLMs for natural language understanding, and telephony platforms (Twilio, Vonage) for voice channel integration. Dialog management is often handled with custom state machines or frameworks like Rasa.

Question 5

What is the difference between a chatbot and conversational AI?

Accepted Answer

A chatbot follows predefined scripts or decision trees — it can only respond to inputs it was explicitly programmed to handle. Conversational AI uses natural language processing and large language models to understand open-ended input and generate contextually appropriate responses. Conversational AI handles novel questions, maintains context across a conversation, and escalates gracefully when it cannot help.

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