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 the product is a promise, and the customer tests it only when a claim arises.
An insurer sells a promise and keeps it for the whole term of the contract: in the policy system, in the sales network, in claims handling and in reports to the supervisor. Each of these activities passes through systems, so their limitations show on the customer's side before they appear in the results.
In this sector our track record is building systems. For a client in the insurance industry we built and deployed a next-generation digital insurance platform. For a client in the same industry we launched, on a global scale, an online sales channel for travel insurance policies.
An insurance product is a set of conditions written down for the whole term of the contract, and the policy system has to serve every policy sold until it ends, including those sold on conditions no longer on offer. A new product or a change of tariff is therefore first a change in the system and only then a business decision, and it is the system that sets how long that decision takes.
The same policy reaches the customer through an agent, a multi-tied agency, a bank, a comparison site and the insurer's own website, and each of these channels has a different process and different systems. The offer must be identical, the pricing the same, and the course of the sale reproducible, whichever way the customer came in.
The customer learns the value of the policy only when a claim arises, and then every day counts. The case passes through the claims handler, the loss adjuster, the garage and the assistance service, and documents arrive in every form, from a phone photo to a scanned report, and someone has to piece them together into a single case file before a decision is made.
The tariff rests on claims history, and claims handling records that history the way it needed it to close the case, not the way the actuary needs it. Data from partners and external sources arrives with its own definition of the customer and of risk. The model that brings this together must be explainable to the customer who asks about the price and to the supervisor who asks about the criteria.
The supervisor asks not only what was sold but how: whether the customer's needs were assessed, what the customer was shown and whether this can be reconstructed years later. The insurer is responsible for the operational resilience of its systems even when an external supplier delivers them. The AI Act adds to this by treating risk pricing in life and health insurance as a high-risk use.
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.
An insurer sells and services policies in a new digital system that the team built and deployed.
InsuranceSystems and integrations
An insurer sells travel insurance online to customers around the world.
InsuranceSystems 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
OriginBanking, finance and debt collection
A debt collection company handles cases automatically: the system recognises documents and links data from ERP and CRM.
Systems and integrationsAutomation and artificial intelligence
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
OriginBanking, finance and debt collection
A European financial institution sees customer and campaign data in one place instead of many sources.
Automation and artificial intelligence
OriginBanking, finance and debt collection
The companies of a multi-industry banking group work in one tool to one standard, rather than each in its own way.
Technology advisorySystems and integrations
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
OriginBanking, finance and debt collection
A European bank releases application changes automatically, without building and publishing versions by hand.
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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