NexTao Use cases AI chatbot & assistants
Use case 01

The assistant that never
clocks off.

A chatbot that genuinely knows your services, prices and processes — on your website and in WhatsApp. It answers standard questions instantly, asks when something is missing, and hands over to a person the moment it gets delicate.

Chat window on a website: an AI assistant answering a customer question about services
The problem

Where the time goes here

Most enquiries that reach you look remarkably alike: what does it cost, how long does it take, do you have a slot on Friday. Those questions cost time every single day — and still get answered on the next working day, because they arrive in the evening and at weekends.

An AI assistant takes exactly that part off your desk. It is trained on your material: services, pricing logic, opening hours, how a project runs, the common exceptions. It invents nothing — where it is not certain, it says so and passes the conversation on.

What comes out at the end is not a chat transcript but something usable: a qualified enquiry with a name, a request and a way to reply, straight into your inbox or your system.

Scope

What the assistant handles

Website chat

A panel on your site, styled to your brand, that answers immediately — at night as well.

WhatsApp & messengers

The same assistant on the channel your customers already use.

Qualifying enquiries

It asks the follow-up questions you would have asked — and hands over complete enquiries.

A clean handover point

Delicate or unclear cases go to a person instead of being guessed at.

The difference

Before and after

Before

Enquiries pile up overnight. In the morning somebody answers the same question for the fifth time — and the urgent cases get buried in it.

After

Standard questions are answered instantly. Only the cases that really need you reach your inbox — with everything you need to reply.

How we work

From mapping to live operation

Phase 01

Process mapping

We look at what actually happens — tasks, frequencies, waiting times, handovers.

Phase 02

Potential & roadmap

Cost today, cost afterwards. That sets the order — biggest lever first.

Phase 03

Implementation

We build, connect your systems and test against real data. It goes live once it holds.

Phase 04

Operation & expansion

We measure, sharpen and take on the next workflow.

How to engage us

Consulting — or consulting and implementation

Both begin with mapping your workflows and producing a prioritised roadmap. Then you decide who builds.

Model A

Consulting

We show you the way — your team walks it.

  • Process mapping and rating by effort and impact
  • Prioritised roadmap with sequence and effort estimate
  • Recommendations on tooling, data protection and data flows
  • Training for your team

Outcome: you can start without us.

More on consulting

Questions on AI chatbot & assistants

What companies ask before starting.

Does the chatbot make things up?

It answers from the material you provide, not from general world knowledge. For topics without a basis, a clear fallback with a handover is configured. Before launch we walk through the typical questions together and check the answers.

Will customers notice they are talking to an AI?

Yes — deliberately. The assistant introduces itself as one. That builds more trust than pretending to be a person, and it is the clean approach for automated communication.

What happens to the chat data?

We define before launch what is stored and for how long. Where possible we process within the EU. The wording for your privacy policy and record of processing activities comes with it.

Can we maintain the assistant ourselves?

Yes. Content and answers live in one place you can edit. If you prefer, we maintain it for you — with no subscription lock-in.

Let’s talk

Which workflow costs you too much time?

Describe it in two or three sentences. You will get a free, no-obligation assessment: whether and how it can be automated — and roughly what that means.