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 margin is made in the process, not in the price list.
In manufacturing and trade the IT system follows the physical process, not the other way round. Goods are on the shop floor, in the warehouse or in a container before their status reaches the system, and the purchase is decided long before anyone knows what they will sell for. The challenges described below are a picture of this situation, not a list of things we have already solved in it.
Our own projects in this sector are an ERP system with risk analysis for container trade and an intranet with company knowledge management. We show both below.
The line, the warehouse and dispatch do not stop for the implementation, and if there is a shutdown at all, it is short and planned around maintenance, not around the system. A new system therefore starts on live warehouse stock, and the first stocktake after go-live shows whether it agrees with the shelf or with the project assumptions.
ERP, the warehouse system, production control and the spreadsheets kept alongside them. Each of them can show a different stock level for the same batch. Reconciling them is the constant work of people, not a one-off implementation, and the answer to the question ‘how much of this do we have’ depends on who is asked.
The order with the supplier is placed long before the sale, and in the meantime the exchange rate, freight and demand change. The margin is known only after the fact, and the decision on the next batch is made before the previous one is closed.
The retail chain or the corporation the goods are made for imposes its own format for orders, labels, advance shipping notices and invoices. Every major customer is a separate integration on its terms, and an error on a label can stop a delivery just as a shortage of goods can.
The machine settings for a particular product, the terms negotiated with suppliers and the exceptions to the procedure are known to the foreman, the buyer and the accountant, not to the system. When one of them leaves, the company loses a piece of the process that was never written down, and reconstructs it by trial and error.
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 manufacturing and trading company has one place for knowledge, documents and internal communication.
Manufacturing and tradeSystems and integrations
A trading company assesses the risk of container transactions in the same system it runs its business on.
Manufacturing and tradeSystems and integrationsAutomation and artificial intelligence
Track record from other industries
Work from other sectors where the substance is technology, not the domain. Each carries the sector it comes from.
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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