Insights

Thoughts on software, AI and fintech from the Adventis team.

Two surveillance cameras on a ribbed metal wall

Transaction monitoring: why analysts drown in false alerts

Most transaction-monitoring setups produce far more alerts than anyone can follow up. The cause is rarely the tool – it lies in the data, the customer context, the rule design and the feedback from case handling.

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A large building wrapped in scaffolding during renovation

Modernisation without a big bang: How to renew critical systems step by step

Rewriting a business-critical system from scratch is risky, expensive and almost always takes longer than planned. An incremental approach usually wins – here is how.

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A long aisle between rows of server and equipment racks

Choosing a data platform: what matters more than the vendor

Organisations spend months comparing Snowflake, Databricks and Fabric. But the platform decides less than the questions around it – use cases, cost control, skills and governance.

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Glowing strands of light, like data flowing through fibre

Why AI projects stall before they create value

The model is rarely the problem. Most AI initiatives stall on the data foundation, the integration and the delivery discipline – and that is where the work has to happen.

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A phone making a contactless payment at a card terminal

ISO 20022: what the migration means for financial players

ISO 20022 is more than a new message format – it is richer data across the entire payment chain. Here is what the migration actually demands, and what you should prepare.

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Build, buy or hire? How to choose for new software

Three routes to new software, each with hidden costs. A level-headed framework for when off-the-shelf works, when to build custom, and when a delivery partner beats new hires.

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