Finance is not just any domain to build software for. Money has to reconcile to the cent, regulations change faster than most systems can keep up with, and a mistake in a transaction monitoring rule or a regulatory report has consequences far beyond an error message. Generalists who can code are not enough here – you need a partner who understands payment flows, risk, compliance and integration as well as the architecture underneath.
This is where our strength lies. Adventis builds custom software and AI solutions with a specialism in fintech, and we take responsibility for the whole delivery – from architecture and development to operations. One senior partner is accountable for the work and fronts it all the way, so you have a single point of contact who genuinely understands both the technology and the domain. We prefer to deliver whole solutions, not loose components you have to assemble yourself.
AML and transaction monitoring
Anti-money-laundering is about catching the anomalous without drowning in false positives. We build systems for transaction monitoring, sanctions screening and customer due diligence (KYC) where the rules are traceable, the thresholds tunable and every alert documentable. Good monitoring is as much about data quality and precise logic as it is about good models – and we treat compliance as a requirement built in from the start, not something bolted on afterwards.
ISO 20022 and payment flows
The move to ISO 20022 has made payment messages richer, but also harder to handle correctly. We work with pain, pacs and camt messages, validation, enrichment and the links to back-end systems. Payment flows tolerate no ambiguity: messages must be validated, reconciled and traced end to end, and we build the flows to stay robust even as formats and requirements continue to evolve.
Regulatory reporting
Reporting to supervisory authorities and other bodies demands that the numbers are correct, reproducible and traceable back to source. We develop solutions that extract, transform and quality-assure data for regulatory reports, with a clear audit trail and controls along the way. When a figure has to be explained after the fact, it should be possible to show exactly where it came from and how it was calculated.
Risk and analytics
Risk is only as good as the data and models it is built on. We develop solutions for credit risk, market risk, exposure and portfolio analysis, where the calculations are transparent and the results verifiable. We place weight on models and analyses that can be explained and defended – not black boxes – because that is precisely what a financial context requires.
Integration with core and business systems
Few things in finance stand alone. New solutions have to talk to core banking systems, accounting and business systems, payment infrastructure and external registries. We have experience integrating with established systems in a way that is safe, reconcilable and maintainable – with proper handling of idempotency, failure scenarios and reconciliation, so the integrations hold up under real operation over time.
Data foundation and AI
In finance, the value of AI comes from a solid data foundation and delivery discipline – not from hype or a string of proofs of concept that never reach production. We build data platforms on Snowflake, Databricks and Power BI that provide a reliable basis, and use Python for AI and machine learning where it delivers real value: better detection, less manual work, faster insight. The premise is always the same – without order in the data, AI becomes a risk rather than a gain.
How we work in finance
We believe in senior delivery with clear accountability. One experienced partner owns the solution end to end and is the person you deal with – not a layer of project managers between you and the people actually building. We take responsibility for the whole chain, from architecture and development to operations, because that is where we can stand behind the quality. In finance, precision and compliance are not up for negotiation: the numbers have to add up, the rules have to be followed, and the solution has to be explainable and defensible. That shapes the way we build, from the first architectural choice to the last deployment.
Our technical core is .NET and Azure for robust back-end services, React and TypeScript for modern interfaces, and Python for AI and analytics. But technology is a means, not an end – what matters most is that it solves a real problem in a way that lasts.
Let’s talk
If you have a fintech project where domain knowledge and precision matter, we would be glad to hear from you. We are based in Stavanger and work with clients across Norway. Get in touch, and we will look together at what it takes.