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 workA sector in which a decision about a customer is made in seconds, and still has to be justifiable years later.
A loan, servicing the product and recovering the debt are stages of the same customer history, often run by different institutions and different systems. At each stage the process is regulated, and the system that supports it must stand up to an inspection long after deployment.
In this sector we built an ERP and a CRM with document recognition and automated debt collection, and we automated the distribution of financial products for a client in the European market. On the data side came a market analysis platform with an AI assistant and the consolidation of customer and campaign data.
The core system has been running for years, and replacing it is a multi-year programme with a single migration weekend at the end. Every new product, channel and reporting obligation is therefore added alongside it, as another layer of integration, and fewer and fewer people know what is inside.
Refusing a loan, lowering a limit or referring a case to debt collection must have a justification that can be shown to the customer and to the supervisor. A model that decides faster than a person but cannot show its reasons stops at the risk committee, however well it calculates.
The same person is a borrower in the lending system, a recipient in the campaign tool and a debtor in the collection module, each time with slightly different data. Whether they may be offered another product today is known only to whoever has assembled those three pictures by hand, and a mistake ends in a complaint or a breach.
A large part of the process still enters the organisation as a scan or an email attachment: a contract, a statement, a letter from the court, a reply from the bailiff. Before the case reaches the right system, someone has to read the document, classify it and key it in, and it is this stage that sets the pace for everything else.
DORA, the outsourcing rules and the requirements for the cloud reach not only the institution but everyone who supplies its technology or runs part of a process on its behalf. The bank is responsible for debt collection outsourced to an external firm and for a system hosted with a cloud provider, so where the data sits and who has access to it is a regulatory decision no less than a technical one.
We start with an as-is audit: what actually works, where the data sits and what it costs to keep the current state running. The result is a roadmap with an order of magnitude for the budget, not a presentation about transformation. The conversation starts with what can be postponed or simplified, not only with what is worth buying.
Technology advisoryBilling, asset registers, spatial systems and control systems rarely talk to each other without an intermediate layer. We build integrations and operational portals that bring these sources together into a single picture for the operations team. We design the integration layer so that it can be maintained without us.
Systems deliveryLanguage models over a base of regulations, documentation and ticket history, with control over the sources and a trail showing where each answer came from. This is how we work today for a large energy group. A model that cannot be checked and justified does not enter the production process.
Data and artificial intelligenceKSC audit preparation, SZBI development and internal regulations, carried out together with the technical team. Requirements go into the backlog as acceptance criteria, not into a separate document. The audit trail is created while the system runs, not reconstructed after the fact.
Compliance and riskSome data cannot leave the client's infrastructure, and that is the starting point, not an exception. We design the architecture so that the data stays where the regulation requires: within the European Union or in the client's infrastructure. The same code and the same release process, regardless of the target environment.
Cloud and infrastructureOur track record in this sector
Work for clients in this industry.
A debt collection company handles cases automatically: the system recognises documents and links data from ERP and CRM.
Banking, finance and debt collectionSystems and integrationsAutomation and artificial intelligence
A financial institution analyses markets with an AI assistant that answers analysts’ questions.
Banking, finance and debt collectionSystems and integrationsAutomation and artificial intelligence
A European financial institution sees customer and campaign data in one place instead of many sources.
Banking, finance and debt collectionAutomation and artificial intelligence
A European financial institution distributes its products through a process that runs automatically rather than by hand.
Banking, finance and debt collectionSystems and integrations
The companies of a multi-industry banking group work in one tool to one standard, rather than each in its own way.
Banking, finance and debt collectionTechnology advisorySystems and integrations
A European bank releases application changes automatically, without building and publishing versions by hand.
Banking, finance and debt collectionCloud and infrastructureSystems and integrations
Track record from other industries
Work from other sectors where the substance is technology, not the domain. Each carries the sector it comes from.
OriginManufacturing and trade
A manufacturing and trading company has one place for knowledge, documents and internal communication.
Systems and integrations
OriginPublic sector
A public institution runs HR, IT and legal matters in one tool tailored to the way it works.
Systems and integrations
OriginTelecommunications
A US internet provider monitors its infrastructure with a system that keeps up with the network’s growth.
Systems and integrationsCloud and infrastructure
OriginNo industry assigned
A US cloud and security company analyses network traffic as it happens, not after a delay.
Automation and artificial intelligenceCloud and infrastructure
OriginNo industry assigned
A European company runs its case workflow in the Azure cloud, and operating the system no longer takes manual work.
Cloud and infrastructureSystems and integrations
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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