Documents retyped into the system by hand
Invoices, contracts and letters arrive as scans, and someone retypes their content into the system before the case can move. The cost of this work grows with the number of documents.

A conversation, an analysis, an offer
The conversation about the problem is free of charge. The analysis under a non-disclosure agreement (NDA) has a defined scope and deadline, and its cost is credited towards the implementation.
Let's talk about your projectAI models and agents in an energy company's processes, maintained after launch.
ERP, CRM, document recognition, automation of debt collection and of financial product distribution.
A digital insurance platform and online policy sales on a global scale.
Inter-operator systems built to the TM Forum industry standard, a wholesale operator's product catalogue and infrastructure monitoring.
An AI platform run as a medical device under FDA, CE and MDR rules, on the EU and US markets.
An ERP with risk analysis for container trade and an intranet with company knowledge management.
JIRA customisation and automation of HR, IT and legal processes in public administration.

Close to 30 projects in the team's experience, seven sectors
One collection, three filters: sector, topic and service.
See the work
AI agents and document recognition take over the repetitive work in a process: they read letters, answer questions from internal rules and put reports together. After launch we measure quality and maintain the models.
Scopes
An AI agent takes over the stage in your system that consumes the most manual work and prepares a decision with the documents it relied on; one of your employees approves it.
See the scopeA program that reads your company's scans, e-mails and internal rules, turns them into data and answers that cite their source, and hands uncertain cases to a person.
See the scopeBoard reports calculated from the company's systems according to definitions agreed with you, with an alert when something deviates and a named owner for every figure.
See the scopeOne agreed dataset on customers, products and sales, fed from your systems by a data flow that shows whether the data has arrived, ready for reports and AI models.
See the scopeYour agent or model looked after once it is live: answer quality checked on current samples, usage costs under control, and a decision log ready for an audit or a complaint.
See the scopeSituations
Invoices, contracts and letters arrive as scans, and someone retypes their content into the system before the case can move. The cost of this work grows with the number of documents.
Staff look for answers in internal rules and procedures, and the response time depends on whether someone knows the document. When the rules change, every department starts searching again, at the cost of people's time.
Customer and campaign data sits in several systems, and one person assembles the report for the management board. The decision waits for the report, and the report waits for that person.
Scope
We build an AI agent, a program that takes over the stage with the largest share of repetitive work: it reads a document, finds the answer in internal rules or contracts, and prepares a decision for approval. It works in the system your staff already use, and every answer points to its source documents.
We turn scans of invoices, contracts and letters into data without retyping. The result is a queue in which a person checks only the uncertain cases.
We combine customer and campaign data into a single source and build reports for the management board on it. The result is a set of reports refreshed automatically from that source.
After launch we measure the quality of the answers and improve the model when the data or the regulations change. The result is a maintenance plan with review dates.
Technologies and standards: Language models, AI agents, OCR, ETL, real-time telemetry, MLOps.
Outcome
Process
In the analysis we break the process down into stages and show where people do repetitive work. Result: a list of stages to automate, ranked by the share of that work.
We run the model on a sample of documents or queries from your process and show the answers to the staff who do this work today. Result: a decision on implementation based on your data, before the full project starts.
We build the automation into your system, with answers recorded and approved by a person; after launch we measure quality and cost. Result: the automation in daily use and a person on our side responsible for it.
Services
Book a meeting
You describe the process or system that no longer keeps up and what has to change. The conversation costs nothing.
Phone: +48 455 406 404
Regulations
If the model reads personal data or supports a decision about a customer, data protection and artificial intelligence law applies; when the model is a medical device, FDA, CE and MDR requirements are added. We write these requirements into the design from the start: a record of the source documents behind each answer, approval by a person, data in the European Union or on your servers.
Work
A financial-sector company received letters and documents in debt collection that had to be read and assigned to cases by hand.
Our team implemented document recognition: the system reads letters, identifies their type and passes the data to the ERP and CRM systems.
Letters from debtors reach the right cases without manual re-keying.
You describe the process or system that no longer keeps up and what has to change. The conversation costs nothing.
We examine the process and the systems and hand over a recommendation with a scope of work. You know the scope, deadline and price of the analysis before it starts.
You receive the scope, team, schedule and price of the implementation. You decide whether we go ahead.
The cost of the analysis is credited towards the implementation if you order it.
Phone: +48 455 406 404 E-mail: contact@aliaxit.com
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