The best choice is based on operational responsibility, not technology stack.

The three options

Traditional chatbot

Best for fixed FAQ flows and repetitive questions.

AI chatbot

Best for contextual product questions and guided pre-sale conversations.

AI agent

Best for recommendations, cart rescue, and controlled actions in your systems.

Quick comparison

Solution Best for Limitation
Traditional chatbot FAQ and fixed flows Limited context
AI chatbot Contextual support and discovery Need guardrails on sensitive actions
AI agent Sales assist, recovery and operations Requires stronger governance

Practical integrations

Connect agent to:

  • Product catalog
  • Inventory and pricing
  • ERP and CRM
  • CRM notes and status
Comparison between chatbot and AI agent architecture
When to use each assistant layer

Pre and post-sale examples

  • Pre-sale: suggest bundles based on intent
  • Post-sale: check tracking and confirm follow-up actions
  • Recovery: identify and recover abandoned carts with context

Escalation and limits

Set escalation rules before deployment:

  • Confidence threshold for responses
  • Human fallback for exceptions
  • Logs for every action

Metrics

  • Conversion from assisted sessions
  • Response time
  • Tickets resolved without handoff
  • Recovered carts

CTA

If your team spends too much time on repetitive support, ask for a conversational system assessment at Contact.