AI automation for professional firms, businesses and logistics Emails, PDFs and requests, handled by AI.
Automatically.

It is the use of artificial intelligence models to do the repetitive work that currently passes through a person's hands: reading an email or an attachment, understanding what it says, extracting the data that matters and triggering the next action. The goal is not to replace your team, but to take the mechanical work off them and leave them the decisions.

Emails and their attachments, PDFs, spreadsheets, CSVs and web forms. In practice: quote requests, orders, invoices, delivery notes and the correspondence landing in shared mailboxes or ticketing systems. Messy formats are the norm, not the exception.

Traditional OCR turns an image into text: it recognises characters but does not understand what they mean, and it has to be configured for each layout. A Large Language Model interprets the content: it can tell which number is the quantity and which is the price even when the document changes shape, and it assigns every extracted field a confidence score. In practice the two technologies are used together.

We are not tied to a single vendor. We integrate the major cloud models (Google's Gemini, including through Vertex AI, plus Mistral and OpenAI) as well as models running locally through Ollama, for when the data must not leave your own infrastructure. For each project we benchmark the candidates against your real documents and pick the best price/quality trade-off: on a well-defined task a smaller model often matches the quality of a larger one at a fraction of the cost.

How data is handled is defined with you during the initial analysis, before a line of code is written: what enters the pipeline, where it is processed and how long it is kept. Where documents cannot leave your systems, we work with locally hosted models. Processing follows the GDPR; details on the data collected by this website are in our Privacy Policy.

No. The automation plugs into your current tools through APIs and webhooks: it reads from the mailboxes and systems you already use and writes results where they are needed, from your management software to your ERP. The point is to remove manual steps, not to add yet another piece of software to learn.

It depends on your volumes, your formats and how many systems need connecting, so there is no answer that fits everyone. The first step is a 30-minute session where we look at one real workflow together, with your own emails and documents, and work out which part can be automated straight away and which cannot.

It is the end-to-end solution we are building: it captures requests, extracts their data, routes them for approval where needed and acts on the result. It is currently in testing and not yet publicly available. If the flow described on this page looks like yours, get in touch and we will keep you posted.