A chatbot answers a question. An agent completes a task. That distinction sounds small until you are the one paying for the build, because the two are priced, scoped and maintained completely differently - and most businesses do not need the second one yet.
What a chatbot actually is
A well-built chatbot is trained on your documentation and ticket history, answers common questions in your voice, and escalates cleanly to a human when it is unsure. It does not take actions - it does not issue a refund, update an order, or change a record. That makes it fast to build, cheap to run, and low risk.
What an agent actually is
An agent is given permission to act: look up an order, apply a discount within a rule, reschedule a booking, route a lead into a CRM with the right fields filled in. That is genuinely useful, and it is also where most of the real engineering work sits - confidence scoring, escalation rules, and testing in shadow mode before it ever touches a live customer.
How we decide which to build
- If the goal is answering repetitive questions faster, a chatbot gets you most of the value at a fraction of the cost
- If the goal is removing manual work - data entry, routing, follow-ups - that is agent territory
- Agents need a "say I do not know" policy from day one, especially anywhere near billing or account security
- Start narrow. One well-scoped agent that handles one workflow reliably beats one broad agent that handles everything badly
“The riskiest AI project is not the ambitious one. It is the one where nobody defined what the agent is allowed to get wrong.”
Our AI & Automation practice builds both, and the first conversation is always about which one your business actually needs right now - not which one sounds more impressive in a pitch. Tell us the workflow and we will tell you honestly which one fits.
