AI that works inside your systems, not next to them
Many companies have already tried a chatbot. The value starts when AI can read your documents, query your databases and act in your ERP or CRM under the same rules your staff follow. That is integration work, and it is where most AI projects stall.
Tender Touch is a software development company in Lisbon. We are open to proposals for the most complex AI integrations, in any line of business, and to problems of any complexity. In the first call we tell you honestly whether AI is the right tool for the problem and what it would take.
What we integrate
- Language models connected to your data: assistants and search that answer from your documents, databases and internal tools, and show where each answer came from.
- AI agents that act: they open tickets, update records in your ERP or CRM and prepare orders or quotes, within permissions you define.
- Document processing: invoices, contracts, forms and emails read, classified and turned into structured data for your systems.
- Voice: AI voice agents on your phone line, from the team that runs one on real calls every day.
- AI inside your product: features built into your custom software, website or mobile app.
Generative AI connected to your data
A language model on its own only knows what it was trained on. Connected to your data, with search over your documents and controlled access to your systems, it can answer questions about your business. We design that connection: which sources it may read, how answers cite them, and what happens when the data is not there.
AI agents with limits you set
An AI agent does more than answer: it calls tools and changes data. So every agent we build works with its own permissions, keeps a log of what it did and why, and asks a person to approve the actions that matter. You decide where that line is.
Process automation where fixed rules are not enough
Classic automation breaks on anything it was not told about: a scanned document, an email written in a hurry, a request that does not fit a form. AI handles that variety, and the result goes back into your systems through the same integrations as any other data.
On-premise or in a private cloud
When the data must not leave your company, we deploy open models on your servers or in a private cloud of your choice. When it may, we use hosted models from the large providers. We are not tied to one vendor, and we test both options on your real cases before recommending one.
GDPR and the EU AI Act from day one
We work under EU rules. Personal data, retention and access are part of the design, and for each use case we look at where it falls under the EU AI Act with you and keep the documentation that goes with it. The final word on legal questions belongs to your lawyer or data protection officer.
How an AI integration project runs
- Pick one problem. One use case with a clear result that can be measured, not a vague AI strategy.
- Test on your data. A short pilot with real documents and real cases shows what works before anything is promised.
- Integrate and secure it. Connections to your systems, permissions, logs and alerts, as in any software we put in production.
- Widen step by step, with your team checking the results at every stage.
AI consulting, then delivery by the same team
If you are not sure where AI fits in your company, we start with a short consulting phase: we look at your processes and data and pick the use case with the best return. The people who advise you are the people who then build it, so the advice has to be something we can deliver.
Any line of business
Industry, logistics, retail, tourism, health, legal and financial services, telecoms, the public sector. We have not worked in every one of them, and we say so; what carries over is the method and the engineering. We meet online or, if you prefer, in person in the Lisbon area by appointment.