Where do answers come from?
Your PDFs and URLs, or the model’s training data? Grounded retrieval beats generic generation for support.
Buyer guide
AI agent vs chatbot — what actually changes for your team
Vendors use both terms interchangeably. They are not the same. This page explains the difference in plain language, when each approach fits, and where a grounded chatbot like Reply belongs — without pretending we are an autonomous agent.
- No vendor fluff
- Written for support leads
- Updated for 2026
Why this matters
Buying the wrong category costs you months — and trust with customers
An AI agent is built to plan and execute tasks: book a meeting, update a CRM, refund an order, call an API. A chatbot — in the useful sense — retrieves answers from your content and replies in natural language. Many products blur the line in marketing decks.
If you need reliable FAQ and policy answers on WhatsApp at scale, an “agent” that improvises actions can be overkill — and risky. If you need multi-step workflow automation across tools, a retrieval chatbot alone will frustrate you. The fix is knowing which job you are hiring AI to do.
- Support teams usually need accurate answers first, automation second
- Agents introduce action errors; chatbots introduce hallucination — different failure modes
- You can start grounded, add handoff, then add actions when workflows are proven
Decision guide
When a chatbot is enough — and when you need an agent
Choose a chatbot when the job is “answer from our docs”
COD rules, return windows, product specs, clinic hours, menu allergens — high volume, finite sources of truth. You want retrieval, citations, and a clear decline when the answer is not documented.
Choose an agent when the job is “do something in our systems”
Create a ticket with the right fields, reschedule a shipment, apply a discount code from inventory rules, sync to Salesforce. You need tool access, guardrails, and audit logs — not just paragraph generation.
Combine both with human handoff in the middle
Most Indian SMBs win by nailing grounded replies first, escalating edge cases to humans, then automating only the workflows that fail often enough to justify engineering time.
Evaluation criteria
Five questions to ask any vendor — agent or chatbot
Use these on sales calls. Good vendors answer clearly; vague ones are telling you something.
What happens when it does not know?
Explicit decline and handoff beats confident guessing. Ask for a demo with an out-of-scope question.
What actions can it take — really?
List the APIs. If the demo is all talk and no logged side-effects, you are looking at a chatbot with agent branding.
How do humans take over?
Thread context, notes, and channel continuity matter more than autonomous resolution rates in year one.
What is the failure mode under load?
Latency, rate limits, and wrong-action rollback for agents; hallucination rate and retrieval misses for chatbots.
Side by side
Chatbot vs AI agent vs Reply
Reply is a grounded chatbot with handoff — not a general-purpose autonomous agent. We say that on purpose.
| Capability | Knowledge chatbot | AI agent | Reply |
|---|---|---|---|
| Primary job | Answer from docs | Plan & execute tasks | Grounded answers + handoff |
| Uses your content (RAG) | If built well | Optional | YesYes |
| Calls external APIs / tools | No | YesYes | Roadmap / custom |
| Risk when wrong | Wrong information | Wrong action taken | Declines or escalates |
| WhatsApp + web channels | Varies | Varies | YesYes |
| Typical setup for SMB | Days–weeks | Weeks–months | ~15 minutes |
| Best first step for support teams | YesYes | After workflows are clear | YesYes |
Primary job
- Knowledge chatbot
- Answer from docs
- AI agent
- Plan & execute tasks
- Reply
- Grounded answers + handoff
Uses your content (RAG)
- Knowledge chatbot
- If built well
- AI agent
- Optional
- Reply
- YesYes
Calls external APIs / tools
- Knowledge chatbot
- No
- AI agent
- YesYes
- Reply
- Roadmap / custom
Risk when wrong
- Knowledge chatbot
- Wrong information
- AI agent
- Wrong action taken
- Reply
- Declines or escalates
WhatsApp + web channels
- Knowledge chatbot
- Varies
- AI agent
- Varies
- Reply
- YesYes
Typical setup for SMB
- Knowledge chatbot
- Days–weeks
- AI agent
- Weeks–months
- Reply
- ~15 minutes
Best first step for support teams
- Knowledge chatbot
- YesYes
- AI agent
- After workflows are clear
- Reply
- YesYes
FAQ
Common questions about agents and chatbots
We are a retrieval-grounded chatbot: answers come from your ingested content, with human handoff when needed. We do not market autonomous multi-step agents as the core product today.
Some platforms add light actions (create ticket, tag conversation). Full agents chain multiple tool calls with planning. Know which you are buying — the architecture and risk profile differ.
If your knowledge base is messy and your policies are not documented, an agent will act on bad inputs. Ground answers first; automate actions on proven, narrow workflows.
ChatGPT generates from broad training. Support needs tenant-specific retrieval with declines when docs do not cover a question — that is a chatbot/RAG pattern, not a general assistant.
Start with a grounded chatbot on your policies and catalog, measure deflection and handoff quality, then evaluate agents only for repetitive actions your team already does manually.