AI service
Amazon Lex
Builds conversational voice and chat bots.
Key points
- Builds conversational interfaces using intents, utterances, slots, and fulfillment.
- Supports both text and voice bot experiences.
- Uses automatic speech recognition and natural language understanding for conversations.
- Can integrate with AWS Lambda and other services to perform actions.
- Is commonly used for contact center bots and self-service workflows.
When to use it
- Choose Lex when users need a chatbot or voice bot with intents and slots.
- Use it for customer support self-service, appointment scheduling, and call center automation.
- Use it when the question mentions conversational bot design rather than free-form content generation.
Exam tips
- Lex builds bots; Transcribe only converts speech to text and Polly only converts text to speech.
- Bedrock Agents use foundation models for task orchestration; Lex uses intent and slot based bot design.
- Fulfillment through Lambda is a common clue for taking actions from a bot.
- For enterprise knowledge assistants, Q Business may be a better managed option.