Incoming invoices
The office no longer types up invoices. It only checks what the AI has read and approves.

The office no longer types up invoices. It only checks what the AI has read and approves.

Every month, AI agents prepare the videos, with a script, a shot list and checked claims. Jagrati Abroad only reviews and films.

POS, online shop and delivery portals come together in one daily overview. In the evening, the team only looks at the discrepancies.

It is not your fault that you do not know which of the more than 200,000 AI tools would actually save time in your business, what the GDPR and the EU AI Act ask of you, or which customer data your team may share with an AI.
You run a business. Writing prompts is not your job.
And still, the topic catches up with you every week:
All you are missing is someone who shows you the way and then gets it done.
AI automation means an AI handles recurring tasks on its own, including the ones that used to need a person to read, understand or weigh things up.
Search LinkedIn for leads by hand
Answer every email yourself
Build proposals from templates
Type up notes after meetings
Retype invoices by hand
Dig through folders and inboxes
We find the processes where AI pays off, build them into your business and show your team how to work with them on its own.
One partner
Three areas
The base
That depends on what you need: training, a workshop day or an automated process. After the intro call you get a recommendation with the scope and the next step. When we build, we start with a single process. That shows you what AI costs you and what it brings before you commit to more.
You get a first assessment in the intro call. Before we build anything, we run the numbers on the process with you: how it runs today, how it would run with AI. If it does not pay off, we tell you.
We start with a process from your business, so from the start you see results you can check on real cases. How quickly that measurably lightens the load depends on the process, the quality of your data and how well your team gets on board.
In a chat window, AI helps individual people with individual tasks, and the process itself barely changes. We take AI out of the chat window and build it into your processes, such as invoice intake.
The intro call takes 30 minutes, the workshop day one day. For the first process we need the person who does it today: for questions and for the test in daily work.
No. We build the automation and stay with you after the launch. If you already have IT or a service provider, we agree data paths and access with them and replace nobody.
We test every automation with your team and hand it over only once it runs reliably. In the training your people learn on their own tasks which tools they may use and how.
That is why it does not decide alone. The AI prepares the work, and a person approves the critical steps. In invoice intake, for example, it reads out the supplier, amount and due date, and the person in charge checks them before approving the invoice.
Before the start we agree with you which data goes to which AI, and we document it. Whether the cloud or your own server fits, we check together. If you use Pharen Hub, we run it in the EU on Hetzner Cloud, or it runs with Docker on your own server.
Anyone who uses AI at work has to support the AI literacy of their staff, as Article 4 says. Our training starts there: with your team's own tasks and clear rules for customer data and the GDPR.
There are grants for consulting: through its Federal Office for Economic Affairs (BAFA), the German government subsidises business consulting for small and mid-sized businesses by up to 80 percent, depending on the region. The guideline runs until the end of 2026, and not every service qualifies. So before you commission anything, check with the funding body whether your project fits and when it may start.
No. We build on the systems you already use. Where something is missing, Pharen Hub can come in, our own platform for data, processes and agents.