The knowledge exists, but it is not available in the workflow. Questions, exceptions, and approvals wait for the same experienced people. Their attention goes into coordination while customers wait for an answer or decision.
AI ENABLEMENT · APRIXITY
The AI question is settled. AI is here to stay.
You have room to focus on your clients and the future of your business. AI helps with the questions and routine work that fill your day.
For owners and managing directors of premium service businesses whose margin is tied up in coordination.
A direction first. We do not need your name for that yet.
Melvin VoigtländerFounder of AprixityFictional example
The quote is waiting for the delivery address.
- Input
The enquiry and date are here. The delivery address is missing.
- Processing
AI compares the email and documents and prepares a follow-up question.
- Output
A quote once the delivery address is confirmed.
APRIXITY / WHERE WE BEGIN
Example of verifiable work
- 01You describe
- 02We assess
- 03You decide
One concrete point is enough to recognize the direction.
2 minutes. 6 questions. One direction.
Your operation works. As it succeeds, coordination grows.
More cases bring more exceptions, handoffs, and decisions. Eventually, almost every case still needs a moment from the person who knows the full context. The operation keeps running, but work that shapes the future slips behind questions and approvals.
The interface changes, but information is still searched for, transferred twice, and clarified outside the system. The tool is new. The rework remains in the same places.
Texts, summaries, and suggestions appear quickly. Without a clear process boundary, test criterion, and approval, it remains unclear which work disappears and which decision becomes more reliable.
Leadership separates verifiable work from accountable judgment.
- Current work step
- Review documents and mark missing evidence against the required details.
- AI in the partial process
- AI organises the documents, checks known criteria, and prepares the listing.
- Human approval
- A person reviews open cases and approves publication.
- Current work step
- Transfer information from documents and trace contradictions individually.
- AI in the partial process
- AI structures the available material, compares details, and exposes deviations.
- Human approval
- Professional judgment decides which deviation changes the next step.
- Current work step
- Collect values and check the assumptions for the draft.
- AI in the partial process
- AI prepares the calculation through the known rules and creates the proposal draft.
- Human approval
- Responsible people review the calculation and approve the commitment.
View the example
Enquiry → Follow-up
Please quote for delivery on 18 October.
Which address should we deliver to on 18 October?
Where the process waits
- Today
- The missing address is noticed only when writing the quote.
- With AI
- The missing detail is flagged before the quote. A person checks and sends the question.
In this example, the quote stays open until the reply arrives. An illustrative proposal, not a measured outcome.
I build what I use myself.
My own first customer.
APRIXITY / CUSTOMER 00
Melvin Voigtländer
Founder of Aprixity
LinkedInAprixity runs on my own knowledge graph and automations. I apply the same principle to my operation: understand the workflow first, bound the intervention, and test it against the real result.
A decision from my development work: why a file check does not replace reviewing the result. →
Background and approach
In the automotive industry, I saw how much knowledge a company can hold and how difficult it can still be to turn that knowledge into a clear decision. My MSc in Management and Information Systems at Cranfield University deepened this question academically.
With Aprixity, I make operational knowledge usable: for a concrete workflow, a verifiable decision, and a first intervention that we also implement. That is why I do not begin with technology selection. I show which step a system can carry reliably, which assumptions remain open, and where your approval stays.
THE 30-MINUTE CHALLENGE
Your biggest time drain. Put AI to the test.
Bring a task that costs you time and energy every week. In 30 minutes, we test live on your example what AI can take on.
Bring my problemRequest the challenge by email. We will arrange a time with you personally.
- Your example
- One recurring task. An anonymized example is enough to get started.
- The live test
- We try out what AI can prepare or take on. You see the result on your own case.
- Your decision
- You assess the result and decide whether to take the approach further in your business.
Questions before the first step
We guide you through the first step of this change.
One workflow from your operation is enough. The check shows where work or value gets held up, which intervention should be tested first, and where your approval remains.