Faster answers.
More useful leads.

An AI chatbot creates value when it answers from approved knowledge, guides choices, gathers context and knows when to hand over to a person.

WHAT CAN THE AI ASSISTANT HANDLE?
Common questionsImmediate help

Answers questions about services, conditions and core information.

Decision supportGuided choice

Uses questions to narrow the right service or product.

Lead qualificationOrganised context

Collects the context needed for the next human step.

Handoff and bookingControlled next step

Routes to contact, booking or the right colleague.

Answers, actions and integrations follow approved rules, limits and logging.

Scope matters more than the label.

01

Knowledge quality

Organised approved sources support more reliable behaviour.

02

Conversation journeys

More goals and branches require deeper design and testing.

03

Integrations

CRM, calendar, commerce and inbox connections need permissions and failure handling.

04

Traffic and usage

Usage volume affects model and platform costs.

The base price is not
an empty shell.

  • Discovery, clear scope and a plain-language proposal
  • Mobile-ready implementation and technical testing
  • Measurement foundation and documented handover
  • 30-day post-launch stabilisation

A lower price works
when phase one still works.

We do not automatically stack every extra. We first build the part that creates value on its own, then add the rest later.

The calculator gives a detailed first direction in 2–4 minutes.

Important details
before you decide.

Who benefits from an AI chatbot?

Where questions repeat, choices are difficult or the first response is slow.

Can it invent information?

Approved sources, limits, fallback and human handoff reduce the risk.

Can it connect to a CRM?

Yes, with controlled permissions and logging.

You do not need to
know everything first.

Describe the situation briefly or refine the idea with the calculator. Both routes lead to a clear first recommendation.