Your data is scattered. AEPUR fits your architecture to bring your sources together into one unified base, add AI at the right level, and put it to work across your different uses. Your teams gain time to decide.
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AEPUR works across the whole chain. Each block can be switched on and combined to suit your situation, to build something that fits your architecture and your uses.
Tap a block to see the detail.
An event is enough, no one has to think about it.
The original is kept, its data extracted.
We add, we never overwrite.
What is captured is set against your rules.
You decide, the original document beside you.
The action goes out to your systems, traced.
* Engagements completed through our previous business, DoMyExcel.com.
The same blocks, at different points along the chain. You will probably recognise one of them.
Tap a case to see the full journey.
The first two hours of his day went into re-typing: collecting acknowledgements from his mailbox, comparing them to the orders, correcting the dates in the management software, rebuilding the tracking sheet.
He now only reviews the discrepancies, with the original document beside them. The time he gets back goes into decisions, not re-typing.
Nadia used to lose her afternoons searching for which procedure, which file or which audit report held the answer the customer was waiting for.
The company's knowledge stops living in three people's heads and in files nobody can find.
Three days a month went into pulling together extracts from everywhere by hand, and the sales and operations planning (S&OP) meeting always opened with an argument about whether the figures could be trusted.
The meeting is no longer about whether the figures are reliable, but about the decisions to make.
Marc does not want to change tools: he works in Excel, and he works well in it. What he wants is to stop rebuilding his workbooks from stale exports.
No more copy-pasting across twelve exports, and above all no more doubt about which version of the file is going around.
Four requirements, and what they change in practice. Tap each one to see the detail.
Each task goes to the most suitable tool, never to one tool meant to do everything.
A result that is always the same, and explainable: for every check, you trace back the rule that produced it.
Your data stays under your control, with no forced dependency on a third-party cloud.
Role-based access, and every read as well as every write logged.
AI only steps in where interpretation is needed; everything else follows fixed rules.
Going to the cloud is decided document by document, not once and for all.
Installed on your own servers, or with the European host of your choice.
You can take the whole thing back over at any time, with your own teams or another provider.
AEPUR was born from two complementary career paths and one conviction: in most industrial companies the data already exists, it is simply put to poor use.
A systems and network engineer, he installs and secures the IT of dozens of companies every day, across every sector.
Ex-Amazon, with fifteen years of experience in data and operations, across the United States, Thailand, Netherlands and France, up to the supply chain leadership of a division of three activities.
Four steps, with no commitment before the quote.
Half a day with your teams to map the process and count the hours it costs.
Priced on the time actually required, with scope and objectives agreed before anything starts. If you go ahead with us, the scoping is not billed.
A first case put into service at your premises, on whichever process costs you the most.
Handover to your teams, documentation, and one month of adjustments included.
The level of AI is chosen case by case, not once and for all. A project can start with no AI at all.
Fixed rules and checks: the same document always gives the same result, and each run costs nothing.
The models run on your own hardware. No data leaves, nothing is billed per use.
For the heaviest cases only, and switched on document by document, never by default.
You choose, flow by flow, where your data is processed. The choice is settled at scoping, written into the contract, and nothing enters your management software without human approval.
A sensitive flow can stay in local processing while another goes through an external model.
Moving a flow from external to local mode, or the other way round, is a simple setting, not a rebuild.
Our role is to carry out the processing on your behalf, within the framework set out in the contract.
Your teams retrace the history of any line, at any time, without going through us.
This page is informative and does not replace the contract. The full detail is on the Compliance page.
We are not one more piece of software. We fit into the architecture you already have, and your teams get their time back.
What a first case costs, put into service at your premises, from scoping through to handover to your teams.
The number of sources to connect, the volume of documents and the level of AI chosen. Nothing is committed before the quote.
Yours depends on your volume and on the time the process costs you today.
The time actually spent on the process today, counted with your teams during scoping, set against the cost of the installation.
Half a day on site, with your teams, to count what the process really costs you. You leave with a precise scope and an estimate of how long it will take to pay for itself, whether or not you go further with us.
For the month that follows, adjustments are included: we fine-tune until the tool fits the way you work. After that, any change is covered by a new quote.
One simple question to start with: which process would you like to stop doing by hand?
Data comes from behind and is captured over your shoulder; the further it travels down the corridor, the more it is worth. Legacy systems swallow your shots: you go around them. Our job, as an arcade game.
