Who it's for
For companies where administrative teams lose time on repetitive tasks: processing incoming documents, transferring data between systems, answering standard questions. Not every task is a fit for AI, which is why we always start with a short analysis of where automation genuinely saves time and prevents errors.
What we build
- Document processing: invoices, purchase orders and freight documents that are automatically read, checked and posted into your ERP.
- Data extraction and classification: turning unstructured information from e-mails and attachments into usable, structured data.
- Internal AI assistants: employees asking questions of your own company data and documentation, safely inside your Microsoft tenant.
- Smart workflows: processes where AI does the routine work and an employee only validates the exceptions.
How we build it
We build on Azure AI Foundry and the Azure OpenAI models, inside your own Azure environment. Your data never leaves your tenant. Every automation gets a human-in-the-loop design: AI does the preparatory work, your team approves where needed. And as with all our solutions: monitored with dashboards and alerts, so quality stays measurable.
We deliberately start small: one process, measurable results within weeks. If it works, we expand. If it doesn't, we say so honestly.
From the field
For an international recycling group we automate the processing of incoming document streams: submitted documents are automatically recognised, matched to the right transactions and prepared for posting. Employees only validate the exceptions instead of retyping everything manually.
Want to know which process in your organisation has the most potential? Schedule a no-obligation call. We'll map it out together.