Specialised, explainable AI for alert triage uses machine learning to assess screening alerts, auto-close low-risk items and escalate genuine risk with evidence and a full audit trail. It is an emerging capability within compliance, designed to address the volume and false positive challenges that manual screening processes cannot sustain.
Your alert volumes are growing. Regulatory expectations are rising. Your analyst team isn't scaling at the same rate.
Screening Assistant is an agentic AI capability within Ripjar Screening. It operates as a first-line alert responder, assessing alerts, auto-closing low-risk items and escalating genuine risk with evidence and a full audit trail. It takes seconds per alert. It works overnight. It recovers risks that human analysts miss. As an agentic system, it reasons across multiple data dimensions to make decisions the way a trained analyst would, not just matching patterns, but building context. MCP-enabled API connectivity is on the Ripjar roadmap, making it straightforward for enterprise agents and external systems to connect to the platform.
If your screening relies on rules-based matching, you know the result at scale: vast numbers of false positives. Your analysts wade through unlikely hits, develop alert fatigue and inevitably miss genuine risk. Backlogs grow. Regulatory deadlines tighten. Every remediation exercise or acquisition creates a new mountain of alerts that can't wait.
Screening Assistant goes beyond match scores. It calculates the actual probability that a search result and a risk profile refer to the same real-world entity, using all available context including free text, structured data and prior decisions.
Every decision includes a clear explanation of how the result was reached, with a transparent score for tuning. No black boxes, ever.
Deploy AI selectively based on where you’re comfortable. Apply it to adverse media screening but not sanctions, or roll it out progressively as confidence grows. You stay in control.
Your data stays where it belongs. Ripjar’s proprietary AI runs within the production environment. Nothing leaves the production network. No data is shared with external AI services.
Screening Assistant is part of Ripjar Screening. Designed, tested and integrated for compliance use cases. No third-party bolt-ons.
Built from first principles to meet model validation requirements. Comprehensively designed test and training data, sampled from real data and stratified by region and language.
Screening Assistant calculates the probability that a screening match refers to the same real-world entity as the customer being screened. It uses all available context, including free text, structured data and prior decision, to assess each alert. Low-risk items are auto-closed with a full evidence trail. Edge cases are escalated for human review with a transparent explanation of how the result was reached.
Yes. Every decision includes a clear explanation of the factors that contributed, the evidence considered and the confidence score. There are no black boxes. The system is designed to meet model governance requirements from the ground up, giving compliance teams and regulators full visibility into how each decision was made.
Yes. Screening Assistant is designed for selective deployment. You can apply AI triage to adverse media alerts but not sanctions, or roll it out progressively by alert type, risk tier or customer segment as confidence grows. You stay in control of where automation is applied.
No. Ripjar's proprietary AI runs within the production environment. Nothing leaves the production network. No customer data is shared with external AI services. This is a fundamental design principle, not an optional configuration.
Screening Assistant is built from first principles to meet model validation requirements. It comes with comprehensively designed test and training data, sampled from real screening data and stratified by region and language. This gives decision-makers confidence that the AI behaves robustly across all scenarios and supports standard model risk management frameworks.
Book a complimentary Screening Audit to assess where specialised, explainable AI triage could have the biggest impact on your screening operation.