Many companies only know the promises of AI​

Most companies come to AI through talks, demos and posts on LinkedIn. There you see agents that are supposed to empty inboxes, write quotes and replace entire departments. Anyone who is not deep enough into the technology themselves can hardly judge which of this works in their own business. So AI becomes the answer to every question and the project starts with the tool instead of the process.

Days often pass between enquiry and quote​

In many companies the road to a quote still looks like this. The enquiry arrives by email. Then comes scheduling an initial call, which itself takes two or three emails. After the call some details are still missing, so a follow-up email goes out. Only once the answer is in does the costing begin. Then the quote is written and reaches the customer three days after the first email. Sometimes it is ten.

Individual AI chats barely save a law firm any time​

In many firms working with AI looks like this today. For every matter the lawyer opens a new chat, pastes in the facts, waits for the answer and copies it back into the file. With the next case the same thing starts over. By the evening thirty chats are open and for half of them nobody remembers which file they belong to.

An ordinary Monday at the law firm​

At half past eight there are 43 new emails in the inbox. Six messages from courts and opposing counsel are waiting in the beA, the electronic mailbox every German lawyer is required to use. The answering machine holds four callback requests. A new client has sent their dismissal letter as a phone photo. The paralegal spends the first two hours opening documents, assigning them to files and retyping data. No legal work has happened during that time.

Speed in a project is not a question of hours worked​

Most software projects do not fail because the coding is too slow. They fail because the wrong thing is worked on for too long. That is where the real advantage of agile development lies. The individual task does not get done any faster, but the path from the first conversation to a usable solution gets shorter, because misunderstandings surface early instead of at handover.

A process from almost every company​

An invoice arrives by email, usually as a PDF attachment. Someone opens it, reads out the invoice number, amount, tax rate and supplier and types the details into a system. Then it gets checked whether the amount matches the purchase order. After that the invoice goes to accounting, often as a forwarded mail with a short comment.

This routine takes maybe six minutes per invoice. At two hundred invoices a month that is twenty hours in which nobody decides anything and data merely moves from one place to another. Routines like this can largely be automated today without a major project.

Why the hype around vibe coding is justified and still needs perspective​

Hardly a week goes by without a new AI model, a more capable coding agent or a supposedly revolutionary workflow being announced. Applications appear within hours, prototypes seemingly on demand. The term "vibe coding" describes this new feeling quite well: you phrase an idea in natural language, let the AI write the code and move toward the desired result in dialogue.

How to set up shorter hotline queues in your company with AI phone agents​

How your customers perceive the current situation​

When customers call your company, they expect someone to pick up the phone no matter what time it is and to get an answer. Of course, it can happen that no employee is available to answer the phone on public holidays or outside business hours. In principle, there is nothing wrong with that.

How an AI agent handles client calls for a law firm around the clock​

A ringing phone that nobody can pick up costs companies real money. In law firms especially, attorneys are often in court, in client meetings, or on the road and cannot answer the phone at all times. This is exactly where AI phone agents come in. They work like a virtual assistant that takes calls, records the caller's request, and informs the right colleagues, and they do it around the clock.

From the first contact to the first success: How new employees get off to a good start​

First impressions count, and not just with customers but with new employees as well. Anyone who feels lost during their first days at a company is less productive and changes jobs more often. For growing companies, onboarding quickly becomes a real brake on growth if it is not structured. The solution lies in a clear process consisting of pre-onboarding and onboarding, supported by a central training and knowledge platform.