Knowledge on websites, visibility and AI.
You will find two kinds of articles here: guides that explain everyday decisions, and concept studies that walk through typical tasks on paper. Reports on real client projects are not included.
7 articles
Expert articles on questions that often come up before a project.
- Guide
Costs · 6 min
What does a website cost? Prices and cost factors
Cost factors, scope and ongoing costs: what a website costs and which questions to settle before you decide.
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AI basics · 5 min
AI agent or chatbot: which one suits you?
Chatbot or AI agent? A comparison with decision guidance: what each can do, where the limits are and when which solution makes sense.
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Software · 5 min
Custom or off-the-shelf software: which is worth it?
When tailor-made software pays off and when standard solutions are the better choice: costs, maintenance and integration at a glance.
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SEO · 6 min
Planning a website relaunch and limiting SEO risks
Redirects, migration and testing: how to plan a website relaunch that preserves your existing visibility as far as possible.
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Automation · 5 min
Automating processes: what is really worth it
Realistic examples of processes that businesses can automate, and the prerequisites for doing so.
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Data protection · 6 min
Data protection for AI in business: what to look out for
Data flows, vendor checks and transparency: guidance on data protection for AI in business, without replacing legal advice.
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6 concept studies on Websites & web development
Hypothetical scenarios, not client projects. Figures in them are assumptions.
- Expert analysis · not a client project
Accessibility · 13 min
The contact form that some visitors can never submit
Accessibility is created in code and design, not in a plugin, and with a clear testing routine it is quite manageable for small websites.
Read concept study → - Concept study · not a client project
CMS and maintenance · 12 min
Who changes the opening hours when the web designer no longer replies?
A website is only as independent as its access, roles, backups and ownership arrangements allow. This study weighs CMS types against each other honestly.
Read concept study → - Expert analysis · not a client project
Website data protection · 12 min
The cookie banner is only the tip: what your website really sends out
A privacy-friendly website begins with an inventory of the embedded services and ends with a banner that asks only what really needs to be asked.
Read concept study → - Scenario · not a client project
Landing page enquiries · 12 min
The ad is running, visitors are coming, the form stays empty
A landing page serves exactly one service and one action, and its value only shows when structure, form and measurement fit together.
Read concept study → - Concept study · not a client project
Page structure · 13 min
A “Services” page is not a service page
If your offer needs explanation, you need a separate page for each service, a sound site tree and contact paths that match the decision situation.
Read concept study → - Scenario · not a client project
Mobile website · 12 min
The thumb decides whether the call happens
Anyone searching for a business on the go has one hand free and little patience: a mobile website must serve this situation first and the desk only afterwards.
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6 concept studies on AI phone assistant
Hypothetical scenarios, not client projects. Figures in them are assumptions.
- Concept study · not a client project
Telephony integration · 13 min
Where does it actually ring when the AI picks up?
Whether an AI phone assistant holds up in daily use is decided less by the voice than by the phone number, the phone system, customer data and the question of what happens after the call ends.
Read concept study → - Expert analysis · not a client project
Costs and calculation · 12 min
What an AI phone assistant costs and when it does not pay off
An AI phone assistant has several types of cost, and whether it pays off depends on a few figures that you can measure yourself.
Read concept study → - Expert analysis · not a client project
Voice technology · 12 min
The two seconds of silence after which callers hang up
Whether a voice assistant is usable on the phone depends less on the intelligence of the model than on timing, listening and how it copes with poor audio quality.
Read concept study → - Concept study · not a client project
Practice appointments · 13 min
Who picks up when reception is busy at the desk?
A phone assistant can take appointments in a practice as long as it assesses nothing, asks little, recognizes emergencies and, when in doubt, hands over to a person immediately.
Read concept study → - Concept study · not a client project
Handover to people · 12 min
The call where the AI has to stop helping
A phone assistant is only as good as its handover: this concept describes the rules by which it forwards calls, how the handover works and what it never decides.
Read concept study → - Scenario · not a client project
Call answering for tradespeople · 12 min
The phone rings while both hands are on the pipe
An AI phone assistant takes calls when the team is on the job site, captures the request in a structured way and delivers a callback list ordered by urgency.
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6 concept studies on AI agents
Hypothetical scenarios, not client projects. Figures in them are assumptions.
- Scenario · not a client project
Quote drafts · 13 min
The quote still sitting on the desk on Friday evening
An AI agent reads the enquiry, asks about whatever is missing and builds the quote draft from your building blocks, but never sends anything without human approval.
Read concept study → - Expert analysis · not a client project
Agent security · 13 min
What an AI agent must never do alone, and how you enforce that
An AI agent is only as safe as the rights you give it: if you separate access, define approval levels and enforce limits technically, you limit the damage an error can do.
Read concept study → - Concept study · not a client project
Choose the pilot process · 12 min
Which process should go to the AI agent first?
The first process decides whether an AI agent gains trust in the business or becomes a permanent stopgap, and it can be chosen cleanly with a few criteria.
Read concept study → - Concept study · not a client project
Inbox triage · 12 min
The complaint was number 31: how an agent presorts the inbox
An agent that classifies incoming emails, ranks them by urgency and suggests replies saves sorting work, as long as it hands over to people when it is uncertain.
Read concept study → - Expert analysis · not a client project
Agent operations · 12 min
The agent did something, and nobody can say why
An agent that acts on its own needs a trace of every step, alerts for typical failure patterns and the ability to roll back a change in an orderly way.
Read concept study → - Scenario · not a client project
Document research · 12 min
The answer is somewhere in the folder, just not where people look
An agent that searches internal documents is only as useful as its source citations, its permission checks and the way it handles contradictions.
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6 concept studies on Automation
Hypothetical scenarios, not client projects. Figures in them are assumptions.
- Scenario · not a client project
Automated reports · 12 min
Three revenue figures, a Monday morning and the question of which one is right
An automated report is only as good as the definition of its key figures: first the single truth, then the schedule, then the AI summary with source references.
Read concept study → - Expert analysis · not a client project
Reading documents · 12 min
The invoice has been read. But is it correct?
Reading is the easy part: what matters are validation rules, a queue for anything uncertain and an error rate that is measured rather than claimed.
Read concept study → - Expert analysis · not a client project
Error handling in workflows · 12 min
The workflow ran through. Only half the data never arrived
A workflow is only reliable once it is clear what happens when things go wrong: retry, set aside, report and trace instead of failing silently.
Read concept study → - Scenario · not a client project
Form to CRM · 12 min
Everything that can go wrong between clicking “Send” and the CRM entry
A contact form is only well connected when every inquiry is checked, assigned, confirmed and verifiably ends up in the CRM, even when something goes wrong.
Read concept study → - Concept study · not a client project
Process mapping · 12 min
Whoever automates the chaos gets faster chaos
Before a workflow is automated it has to be understood: a structured process mapping shows what is worthwhile, what has to change and what deliberately stays manual.
Read concept study → - Scenario · not a client project
Appointment reminders · 12 min
The empty chair at 10:15 a.m. and what it really costs
Anyone who combines reminders, cancellation via link and a waitlist into one process turns a silent no-show into a free slot that can be planned around.
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6 concept studies on Custom software
Hypothetical scenarios, not client projects. Figures in them are assumptions.
- Expert analysis · not a client project
Software operations · 12 min
The software is running. So who looks after it now?
Custom software is not finished on launch day, but ready for operation. This analysis shows what has to be settled on an ongoing basis afterwards so that it stays secure, recoverable and transferable.
Read concept study → - Scenario · not a client project
Booking system · 12 min
Two teams, one meeting room, zero double bookings
A booking system for rooms, equipment and people stands or falls with its logic for availability, conflicts and edge cases, not with its interface.
Read concept study → - Scenario · not a client project
Replace Excel · 12 min
The spreadsheet nobody may touch
A grown Excel landscape can be replaced if you first capture its invisible rules, clean the data honestly and leave Excel where it is strong.
Read concept study → - Concept study · not a client project
Customer portal · 13 min
The customer asks about the status for the third time: when your own portal is worth it
A customer portal replaces email ping-pong with a shared status, but it requires a clean permissions concept and a rollout that actually brings customers along.
Read concept study → - Expert analysis · not a client project
MVP instead of a requirements specification · 12 min
Eighty pages of requirements, and by day one half of them are already wrong
A small, working core with real users clarifies more than a long requirements document, but it has its own limits, which you should know beforehand.
Read concept study → - Expert analysis · not a client project
Interfaces and APIs · 12 min
Two systems, one record, three versions of the truth
An interface is less a cable between two programs than a contract about meaning, timing and failure cases, and that is exactly where its quality is decided.
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6 concept studies on AI chatbot
Hypothetical scenarios, not client projects. Figures in them are assumptions.
- Expert analysis · not a client project
Privacy and transparency · 12 min
What happens to what visitors type into your chat window?
Anyone who uses a chatbot on their website should know where every input goes, how long it is kept and how visitors can tell.
Read concept study → - Concept study · not a client project
Lead qualification · 13 min
When the callback only clarifies what the enquiry could have said
A chatbot can organise enquiries before handover if it asks like an attentive conversation partner rather than a form, and if the scoring merely supports sales.
Read concept study → - Scenario · not a client project
Multilingual support · 12 min
The customer writes in Dutch, your team does not
A multilingual chatbot in shop support only works if the knowledge base, glossary, legal texts and order data are deliberately handled separately for each language.
Read concept study → - Expert analysis · not a client project
Chatbot quality · 12 min
The bot sounded confident, and the answer was still made up
An AI chatbot is only ready for operation when it knows what it must not answer, and when tests, samples and a human fallback prove it.
Read concept study → - Scenario · not a client project
Appointment booking · 12 min
The 7:55 a.m. call that one chatbot can take and another cannot
An appointment bot works when it strictly follows calendar rules, asks as little as possible in the chat and hands over to people when in doubt.
Read concept study → - Expert analysis · not a client project
Knowledge base · 12 min
A chatbot only knows what you give it to read
The quality of an AI chatbot is decided less by the model than by the knowledge base: what is in it, how current it is and what the bot does when something is missing.
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6 concept studies on SEO & AI visibility
Hypothetical scenarios, not client projects. Figures in them are assumptions.
- Expert analysis · not a client project
Load time & Web Vitals · 11 min
Why your most beautiful photos make your site slow, and what you can do about it
An expert analysis of how a photo-rich company website becomes measurably faster, and which measures are worth the effort, in which order.
Read concept study → - Scenario · not a client project
Content architecture · 11 min
When a practice's own website competes against itself
A scenario on how a therapy practice sorts its content by search intent instead of competing with several pages for the same query.
Read concept study → - Concept study · not a client project
AI visibility · 11 min
When the answer is ready before anyone clicks
A concept study on how a service provider can build its website so that AI systems can understand and cite it, without anyone being able to promise results.
Read concept study → - Scenario · not a client project
Local search · 11 min
If you want to be found in the neighbouring town, you need more than a map pin
A scenario showing how a trades business with several catchment areas can be found regionally without mass-producing location pages.
Read concept study → - Concept study · not a client project
Relaunch planning · 11 min
New website, old rankings: what a relaunch has to carry over
A relaunch rarely costs rankings because of the new design, but because of forgotten URLs, lost content and an index block that stays in place on go-live day.
Read concept study → - Expert analysis · not a client project
Technical audit · 11 min
Why Google knows half of your pages but doesn't include them
A technical audit clarifies which pages Google can reach, understand and include, and ranks the findings by impact and effort.
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More topics
- AI phone assistant: features, limits and use cases
- AI chatbot on your website: what does it bring?
- How does integrating AI into existing systems work?
- Local SEO for service providers: the basics
- CRM automation: from contact form to lead
- Having a web app built: from idea to MVP