Salv has unveiled its product roadmap outlining how the company plans to enhance its compliance platform between Q4 2025 and Q3 2026.
The roadmap focuses on two key areas—strengthening detection and streamlining investigations—with artificial intelligence (AI) serving as an assistive layer across both, claims Salv.
Salv product manager Agne Kotikovaite opened a customer webinar by emphasising the company’s customer-centric approach. “Every insight and every piece of feedback you share shapes what we build,” she said, highlighting the importance of collaboration in driving product development.
The roadmap prioritises practical tools designed to make compliance operations faster, easier, and more independent. While detection capabilities continue to evolve, Salv’s development team is placing particular focus on reducing the investigative burden and improving efficiency through guided, but human-led, AI assistance.
Detection refers to everything that happens before an alert is raised—screening individuals and transactions, monitoring scenarios, and applying risk rules to flag potential financial crime. Once an alert requires manual review, investigation begins. Here, analysts are tasked with gathering context, making decisions, and closing cases—areas Salv aims to make faster and clearer. Agne said customers appreciated the detection tools but felt “the investigations still feel a little heavy,” adding that the roadmap aims to simplify these processes and enhance context visibility.
Among the upcoming platform enhancements are manual attribute adding—allowing teams to incorporate tags or external intelligence—and a no-code segment builder to reduce reliance on technical skills. Salv is also introducing case creation features for grouping related alerts, editable notes and templates for consistent workflows, and link analysis visualisations to reveal hidden relationships and suspicious patterns.
In its screening and monitoring modules, Salv plans to introduce n-grams to handle name variations and evasive tactics, as well as the ability to draft and test screening flows before launch. The monitoring system will soon feature a no-code scenario builder and direct visibility into which transactions triggered alerts, while risk scoring will become more granular through integrated segments.
Salv’s product engineer Joonas Praks outlined the company’s philosophy on artificial intelligence: “AI is here to elevate the analyst. We don’t plan to introduce an end-to-end AI driven solution. They are helpers to aid your everyday work.” This principle underpins several upcoming features, including AI Alert Assistant, AI Scenario Optimiser, and AI Insights for Screening—all designed to improve efficiency without removing human oversight.
Other AI tools in development, such as AI Alert Prioritisation, aim to reduce alert fatigue by ranking cases by urgency. But as Joonas cautioned, “False positives are annoying, but false negatives are dangerous.” Agne reinforced the importance of transparency in AI systems, particularly for regulatory compliance, adding that AI tools must be explainable and defensible.
The roadmap also includes customer-led improvements such as simplified reporting and export functionality aligned with Financial Intelligence Unit (FIU) requirements. With the introduction of new no-code tools, teams will gain greater autonomy in segment creation, scenario testing, and deployment.
In summary, Salv’s roadmap reflects a maturing compliance platform focused on user empowerment, operational efficiency, and responsible AI adoption. As Agne concluded, “The hope is that it will become much, much quicker for you, and you’ll have more independence at your hands.”
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