AI and process automation for businesses

Where AI brings real savings

• Customer service – answers to repetitive questions about the offer, dates or order status, at any time of day.
• Documents – extracting data from invoices, contracts, forms and tickets straight into the system.
• Company knowledge – fast search across procedures, documentation and the correspondence archive.
• Reports and summaries – summaries of meetings, tickets or sales data prepared automatically.
• Ticket routing – recognising what a message is about and passing it to the right person.

What is RAG?

RAG (Retrieval-Augmented Generation) is a way for a language model to answer based on your documents, not just general knowledge. The system first finds the passages relevant to the question – in terms and conditions, manuals or a knowledge base – and the model writes the answer based on them and can point to the source. This keeps answers up to date and easier to verify.

How we implement AI – step by step

1. Choosing the process and the measure of success – we start with one specific task and agree how we'll measure the effect: handling time, number of tickets, number of errors.
2. A prototype on your data – we quickly check how the model copes with real cases before building the full solution.
3. Deployment with human oversight – where a mistake is costly, AI prepares a proposal and an employee makes the decision.
4. Monitoring quality and costs – we track answer accuracy and the cost of requests, and refine the instructions and knowledge sources.

Data security

We agree which data may be sent to the model and send only what is necessary. We choose the provider and configuration with GDPR in mind – with a data processing agreement and without your data being used to train models – and, where needed, anonymise data before sending it.

AI usually runs inside a web app or a mobile app – we can build the whole solution or plug AI into a system you already have.