What does a conversational AI agency do?

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.

How much does conversational AI development cost?

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.

How long does conversational AI development take?

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.

What tools do conversational AI agencies use?

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.

What is the difference between a chatbot and conversational AI?

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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Common use cases in this category

Voice IVR replacement and intelligent call routing
Voice assistants for field operations and warehouse staff
Speech-to-text transcription and call analysis
Multilingual voice support for global customer bases
Voice-enabled interfaces for accessibility compliance
Embedded voice assistants in smart devices and kiosks

Questions to ask agencies in this category

Which ASR (automatic speech recognition) platforms do you work with?
How do you handle accents, background noise, and edge cases in voice recognition?
What languages and dialects have you built production systems for?
How do you integrate voice systems with existing telephony infrastructure?
What does your testing methodology look like for voice accuracy and intent recognition?

Voice & Conversational AI

Common use cases in this category

Questions to ask agencies in this category

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