AI Chatbot Development: Build Bots That Actually Help
Bad chatbots frustrate users. Good ones delight them.
Chatbot Architecture
Intent Recognition
- User goal identification
- Entity extraction
- Context management
- Fallback handling
Dialog Management
- Conversation flow
- State tracking
- Multi-turn handling
- Handoff triggers
Response Generation
- Template responses
- Dynamic generation
- Personalization
- Tone matching
Impact
| Metric | Improvement |
|---|---|
| Query resolution | 70% automated |
| Response time | Instant |
| Support costs | -30% |
| CSAT | +20% |
Bot Types
| Type | Best For |
|---|---|
| FAQ bot | Simple questions |
| Task bot | Transactions |
| Advisory bot | Complex guidance |
| Hybrid | Full service |
Tools
| Tool | Focus |
|---|---|
| Dialogflow | Google ecosystem |
| Amazon Lex | AWS integration |
| Rasa | Open source |
| Botpress | Enterprise |
Best Practices
- Clear scope - Don’t overpromise
- Easy escalation - Human handoff ready
- Personality - Match your brand
- Continuous learning - Improve from logs
Want to build a chatbot that works? Let’s discuss your conversational AI needs.