Financial software that survives contact with a regulator

Yes, if you are deliberate about where the model sits. For Crowdberry we built a conversational assistant inside a platform supervised by two national banks. It answers investor questions and keeps its own knowledge current as platform content changes, which removes manual upkeep. What it does not do is make or influence an investment decision on its own. That line matters. AI is well suited to retrieval, explanation, document processing and cutting administrative load. It is badly suited to being an unsupervised decision-maker where a wrong output has a financial or regulatory consequence. Projects that succeed start from a specific operational problem. Projects that fail start from "we should use AI" and go looking for a use case.

Start by looking at what you can buy. We do. Off-the-shelf works while your product and process look like everyone else's. It stops working at the point where your differentiator is exactly the thing the tool won't do: your own product mix, your own commission logic, your own multi-market rules, your own approval chain. Global Finance needed a mortgage calculator carrying data from every Slovak bank and a workflow running from lead to product management, which no generic CRM was going to hold. The right question isn't build versus buy, it's at what point customising a bought tool costs more than owning the thing outright, and how much of your margin the subscription is quietly taking.

Yes, and it is usually the better decision. We built one application for Winners Group covering Slovakia, Bulgaria, Ukraine, North Macedonia, Poland and Romania. Each market has different regulatory requirements and product specifics, so the architecture absorbs those differences instead of forking the product. The alternative, one app per country, means duplicated effort, inconsistent experiences and a maintenance burden that grows with every market you enter. The work is in designing for market-level flexibility and product-level consistency from the start, because retrofitting it later is significantly more expensive.

That is most of what our financial clients ask for. For Global Finance we replaced scattered manual steps with a single CRM that collects leads from multiple sources, runs the client's financial analysis, produces a portfolio proposal and manages their products automatically. More than 500 salespeople use it daily. The pattern that works is to map the workflow as it actually runs, including the spreadsheets and the informal steps, then automate the two or three points where time is genuinely lost. Automating a process nobody had a problem with is the most common way these projects waste money.

Yes. For both Winners Group products we integrated with InsuranceContractManager, the client's brokerage system and single source of truth for contracts and product data, so nothing is duplicated and the broker-facing experience reflects the system of record. For Moon we built a complex integration with the financial services provider behind the platform to give customers real-time access to their funds. For Global Finance we pulled mortgage data from every Slovak bank into one calculator.

Yes, and for regulated services it's the normal case rather than the exception. Crowdberry has operated for over a decade under national bank supervision with more than 16,000 investors on the platform. We reworked the investment flow, the dashboard and the secondary market, and added an AI assistant, all on the live product. The approach is unglamorous: understand what the current system guarantees before changing it, ship in slices, and treat stability as a feature rather than an afterthought.

Yes, and we're ISO 27001 certified for information security and ISO 9001 for quality management. All client infrastructure runs on servers in Germany, so no data leaves the EU. Every financial product we build handles personal data under GDPR as a design constraint from the first architecture decision, not as a review at the end.

It depends on the scope of work more than on anything else: how many markets and regulatory environments it has to serve, how many systems of record it has to connect to, and how much of the compliance work is already done on your side. A single-market customer zone and a six-country platform are different projects. As a range, our financial services projects typically start around €25,000 and most sit between €50,000 and €200,000. A discovery phase turns that range into a real number and a scope you can hold us to.

The same thing drives the timeline as drives the price: how many rules the system has to hold and how many existing systems it has to connect to. A discovery phase that ends with a validated scope and an architecture usually takes a few weeks. A first working version that real customers or advisors can use is typically a matter of months rather than weeks. Financial products then keep evolving for as long as the business does, which is why most of our work in this space is long-term rather than a single delivery.

You do. That includes the repository, the documentation and the infrastructure. We build so that another team could take over, because a financial platform will still be running long after the people who wrote it have moved on.

Yes, and often that's the better setup. Several of our financial clients have capable internal teams and bring us in for a specific product, a specific market, or the parts nobody internally has time to own.

Most of our financial work is long-term. Winners Group came back for a second product after the first. Crowdberry brought us onto a platform they had already run for a decade. We treat launch as the point where the product starts, not where the engagement ends.