The same questions, again and again
The team spends its day answering the same inquiries by email, chat or WhatsApp.
AI beyond the chatbox.
We build intelligence into your systems and daily operations so it does real work: it reads, sorts, answers and hands the case to a person when it should.
Where AI can help.
Documents that someone has to read
Invoices, contracts and forms arrive, and a person types their data into another system.
Knowledge trapped in folders and people
The answer exists in a manual, a file or someone's head, and finding it takes time.
AI tried once and abandoned
A generic tool was tested, gave uneven answers and never made it into the daily work.
AI works when it has a job.
AI is useful when it is tied to a concrete task, uses your own information and has a person who reviews what matters. Without that, it produces confident answers that nobody can trust. That is why we start from the task and its limits, not from the model.
A task, your data, a person in control.
We choose a task where AI can help, connect it to your data and your systems, test it with real cases and define when it must hand the case to a person. Then we watch how it behaves and adjust it.
What we can build.
Each one is designed for a specific task in your business.
- AI consultingWe look at your operation, tell you where AI can help and where it cannot, and define a first step.
- AI agentsAssistants that carry out tasks for you: they answer, log data and follow up.
- Customer service agentsThey answer common inquiries and pass the complex ones to your team.
- WhatsApp assistantsThey attend and organize conversations where your customers already write to you.
- Company knowledge baseYour internal information, ready to be searched in plain language.
- Document processingReads invoices, contracts and forms and passes the data to your systems.
Start small, measure.
See how we work →We begin with one task and agree how we will measure whether it works. Then we test with real cases before it goes live, and a person stays in control of the exceptions.
Examples of use.
Illustrative scenarios, not client cases.
Customer inquiries
An assistant answers common questions with your own information and passes to a person whatever it cannot resolve.
Invoice reading
Incoming invoices are read and their data is entered in your system, and a person reviews what looks unusual.
Internal knowledge search
Your team asks in plain language and gets the answer from your manuals and files.
Technology, when it helps.
The model is one piece, not the product. Depending on the case we combine language models, your own documents and data, and connections to the systems you already use, and we choose what fits the task, its privacy needs and its cost.
Which task would you hand to AI?
Tell us what takes your team the most time and we will tell you whether AI can help.
Start a project → See all capabilities →