A chatbot answers questions. An AI agent takes actions. Here's exactly when to build which — with real cost and timeline data from XPndAI's 100+ projects.
AI projects delivered
Chatbot delivery
Agent MVP
Client rating
A chatbot answers predefined questions, guides users through scripted flows, and provides information. It cannot take actions, use external tools, or adapt to novel situations.
An AI agent understands intent, decides what actions to take, uses tools (APIs, databases, browsers), executes multi-step tasks, and handles situations it wasn't explicitly programmed for.
FAQ answering, lead capture forms, basic product Q&A, simple customer support. Budget: ₹1–5L. Timeline: 2–3 weeks. Works well when the interaction set is bounded and predictable.
Lead qualification (calls), document processing, multi-step workflows, CRM updates, appointment booking, collections — anything that requires decisions and action, not just answers.
Most production systems use both — a chatbot for the front-end conversation and an AI agent for the backend action execution. XPndAI typically recommends this architecture.
Simple chatbot: ₹1–5L. Rule-based chatbot with integrations: ₹3–8L. AI agent (single workflow): ₹5–15L. Multi-agent system: ₹15–50L+. Voice AI agent: ₹8–25L.
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