Shorter response times
Frequent questions get an answer immediately, including outside office hours.
AI Solutions
Artificial intelligence applied to the real processes of your business
Artificial intelligence is useful when it solves a concrete problem: answering faster, finding information, qualifying an enquiry. I build assistants based on your procedures and your documents.
How does a business AI agent work?
A business AI agent receives a request, looks for the answer in the sources assigned to it — documents, procedures, price lists, CRM records — and then produces a reply or performs a defined action, such as logging a contact or booking an appointment. It operates within set limits and hands the request to a person when it falls outside them.
The difference from a traditional chatbot lies in unforeseen questions: a fixed-path chatbot answers only what was scripted, while an agent interprets the request and connects it to the available information. That requires precise instructions, current sources and human supervision: without oversight an assistant can produce answers that sound plausible but are wrong.
Who this is for
- Businesses answering the same questions every day.
- Companies with information scattered across documents, email and folders.
- Anyone losing enquiries that arrive outside office hours.
- Sales teams spending time on repetitive tasks.
An assistant is useful when the data it collects goes somewhere: connect AI to your CRM and automations, or work on visibility inside AI-generated answers.
Problems I solve
What usually gets in the way
- The same questions arrive every day and take up people's time.
- Enquiries outside office hours go unanswered.
- Company information is scattered across documents, email and folders.
- Whoever answers customers does not always have up-to-date information.
- You want to use AI but do not know where to start or what data to expose.
- Experiments with generic tools produced inaccurate answers.
The solution
How I approach it
The first step is organisational, not technological: we identify one or two processes where an automated answer has measurable value, and define what the assistant may and may not do.
Then I build the assistant on your own information sources, with precise instructions, explicit limits and a clear handover to a person when a request is complex or commercially relevant.
Human supervision is part of the project: answers are logged, corrections are possible, and cases where the assistant was not useful are reviewed periodically.
What is included
Activities included in this service
- Chatbots for websites and messaging channels
- AI agents connected to your CRM and business tools
- Internal assistants over company information and procedures
- Automated answers to recurring questions
- Qualification and routing of incoming enquiries
- Search across company documents
- Sales support: quotes, summaries, follow-ups
- Integration of AI into existing processes
- Definition of limits, controls and human supervision
- Data handling, security and user disclosure
Concrete benefits
What changes for your business
Time freed up
People focus on the work that requires judgement and experience.
Accessible information
One place to find up-to-date procedures, price lists and documents.
Control
Clear limits, handover to a human and conversation review.
Comparison
Traditional chatbot and AI agent
| Aspect | Fixed-path chatbot | AI agent |
|---|---|---|
| How it works | Answers by following predefined decision trees. | Interprets the request and connects it to the assigned information sources. |
| When it is enough | Questions are few, stable and predictable. | Requests vary and up-to-date information or actions in business systems are needed. |
| Limits | Outside the scripted paths it cannot answer. | Requires curated sources, explicit limits and periodic conversation review. |
| Together | A fixed path can handle the most common requests, with the agent covering the unforeseen ones and handover to a person always available. | |
How I work
Five phases, in this order
The same sequence applies to a website, a campaign and an automation project. It keeps decisions traceable and avoids work done for its own sake.
Analysis
I study your market, your competitors, the data you already have and how enquiries reach you today. Without analysis, every decision is guesswork.
Strategy
We define measurable goals, priorities and budget. We decide what comes first and what can wait, in a written plan you can actually read.
Design
Structure, content, interfaces and conversion paths are designed before a single line of code is written or a campaign goes live.
Implementation
I build the website, campaigns, automations and tracking, with quality checks on speed, accessibility and data accuracy.
Measurement and optimisation
We review results with real data and act where it matters. The work does not end at launch.
Frequently asked questions
Questions I am asked most often
No. In the use cases I design, the assistant handles repetitive work and prepares the ground; decisions and relationships stay with people, who keep supervision.
We define upfront which information can be used, where it is stored and who can access it. Technical choices are adapted to the level of confidentiality required.
No. A professional practice or a small business can start with an assistant covering a single process, at a contained cost.
It is designed to say so and hand the request to a person, collecting the details needed to get back to the user.
In most cases yes, through available integrations or your CRM. Feasibility is checked during the initial analysis.
Sources and references
Content on this page last reviewed: September 2026. The tools referenced above are changed by their own providers: where in doubt, the official documentation linked here takes precedence.
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Tell me about your project. We will look at your goals, obstacles and opportunities together and identify the most effective solution.