In sales conversations the terms fly across the table. One party offers a chatbot, another an AI agent, and your current software supplier says you already have this because, after all, you have automation. All three mean something different, and the difference determines what you can expect from it.
Automation: fixed rules, no judgement
Classic automation does exactly what you have written down. When an order comes in, create a packing slip. When an invoice has been outstanding for thirty days, send a reminder. There is no language understanding in it and no judgement. It is a set of if-then rules that someone has configured.
That sounds old-fashioned, but it is often exactly what you need. It is predictable, cheap, and you can explain why something happened. For a transport company that wants an invoice prepared automatically after every completed trip, this is the right tool. No AI is needed for that, and AI would only make it less reliable.
Chatbot: talk, look things up, refer you on
A chatbot understands plain language and gives answers. A good chatbot today draws on your own documents: your terms and conditions, your product information, your frequently asked questions. A customer asks whether a certain type of boiler is still available, and out comes an answer that matches what your texts say.
What a chatbot essentially does is answer questions. It changes nothing in your systems. It does not prepare an order, it does not move an appointment, it does not book hours. If you ask it to anyway, you get a friendly answer with nothing behind it.
AI agent: understand, decide and then do something
An AI agent is a chatbot with hands. It understands the question, chooses for itself which steps are needed, and uses tools you have prepared for it: looking up your customer system, drafting a quote, proposing an appointment in the calendar, preparing an email for sending.
At an accounting firm, such an agent can read incoming email from clients, recognise the attached receipts, attach them to the right file and ask a question back if something is missing. At a wholesaler it can read in a supplier price list and prepare the new purchase prices as a proposal.
The difference from automation: you have not mapped out the entire route in advance. You have given the goal and the tools. That makes it flexible and at the same time less predictable.
How to choose
- Is the route always the same and can the rules be written down? Choose automation. Cheaper, faster, more reliable.
- Does a question simply need answering from information you already have? Choose a chatbot, and make sure your source texts are correct.
- Does unpredictable input come in that needs to be understood, and does something then need to happen in your systems? Then an agent is the right fit.
- Torn between an agent and automation? Start with automation. You can put intelligence on top later; the other way round is more expensive.
Never let an agent perform unsupervised actions that cost money or go outside the business. Ordering, invoicing, sending email to customers: set those to “proposal”, with a person who clicks approve. Certainly for the first six months.
What disappoints about agents
An agent sometimes does something slightly different from last time. That is inherent to the technology: it reasons case by case, it does not follow a fixed script. For ninety percent of cases that is fine. For the rest you want a person in between, and that means you do not bank the full time saving.
In addition, an agent is harder to fathom when something goes wrong. With automation you point to the rule that was set wrongly. With an agent you have to look back at which steps it chose and why. That requires logging from day one, otherwise you are left empty-handed.
A chatbot tells you what is in the system. An agent changes what is in the system. That is a difference you have to choose deliberately.
When you need us and when you do not
For a chatbot on your website that answers questions from your own texts, you often do not need us. You can set that up with a standard tool, and the quality depends mainly on how good your texts are. There is little magic we can add to that.
We come into the picture as soon as real actions need to be taken in your systems, because then it is about integrations, permissions, limits and fallback scenarios. That is the work that goes wrong if you underestimate it, and it is exactly the part that no standard tool fills in for your business.