AI agents

What an AI that understands your business actually does, how it differs from a chatbot, and how you keep it in check.

Do you need to know how to code to set up AI customer service?

The "no code" promise almost always hides the piece that does need it. Which parts of setting up AI support you can do yourself, which are better done with help, and the only one that genuinely calls for a technical person.

Rolling out AI customer service in stages: where to start

"Start small" is the most repeated advice and the least useful, because it never comes with a mechanism. Here are the four concrete stages for rolling out AI customer service, in order, with what you have to see before moving on.

My business is very specific: how to get an AI to understand it

\"My business is very specific\" is the most common objection and it is almost always true. What is not true is that this makes it impossible. What you have to give an AI so it understands your operation, and when it genuinely is not enough.

Does the AI train on my customers'' data? What to ask your provider

Before handing your conversations to an AI provider there is an uncomfortable question almost nobody answers head on. The six questions worth asking, what answer to expect from each, and which one should end the conversation.

How to choose an AI provider for customer service: 7 questions almost nobody asks

Guides for choosing an AI provider are written for companies with a procurement department. If you have twelve employees, the criteria are different and so are the questions. Seven worth asking before you sign, with the answer you should be hearing to each one.

Testing a chatbot before you publish it: the three states

The fear is not that the AI will not work. It is that it will work badly in front of a customer you already have. Testing a chatbot before you publish it is not a stage that ends on launch day: it is three states the same service passes through, and you can stay in any of them for as long as you want.

WhatsApp for real estate agencies: what to ask before signing with a provider

Searching for WhatsApp for real estate agencies returns ten providers promising the same thing: 24/7 handling, viewings booked on their own, qualified leads. Some of those promises hold and others depend on your property system being connected. How to tell them apart before signing.

When a WhatsApp chatbot is the wrong tool (and when it is more than enough)

The question is not whether a WhatsApp chatbot works: it is which query it works for. There is one group it handles with nobody stepping in, and another where every automated reply pushes the customer further away. The difference is not the technology, it is whether the answer already exists written down somewhere.

"My business is very specific": how to make the AI answer from your own documents

Every business has rules that are not on the internet: your returns policy, your lead times, your exceptions. That is exactly what you load into an AI so it stops improvising.

Top models get it wrong 22% to 94% of the time: why your AI makes things up

An AI that invents a price for your customer is not a problem with the model's brand. It is a problem with where the answer comes from, and that part you control.

How many support requests can AI actually resolve? What self-service promises and what one real account delivered

A global survey of 5,728 customers found that only 14% of support issues are fully resolved in self-service. In one account we run, with 312 conversations a month, AI resolves around 50% and hands off 40% to a person. The difference is not the software: it is what you asked it to resolve.

Retail automation: what to automate in customer service and what to leave alone

Retail automation is not one thing: it is four separate fronts with four different tools. This piece separates them, digs into the only one that handles conversations, and marks where automation should stop and a person should appear.