Rules and AI coexistence enables organisations to combine deterministic, rules-based controls with AI-assisted insights in a governed and explainable manner. Rather than replacing established compliance logic, this approach allows AI to enhance decision-making while preserving transparency, accountability, and regulatory confidence.

Within the Facctum platform, rules and AI coexistence support solutions such as Customer Screening, Payment Screening, and Transaction Monitoring, ensuring that advanced analytics operate alongside proven compliance controls.

Why Rules And AI Coexistence Is Needed

Purely rules-based systems can struggle with scale and nuance, while fully automated AI decisioning can introduce explainability and governance risks. Regulators increasingly expect firms to balance innovation with control, particularly in high-risk compliance environments.

Rules and AI coexistence address this challenge by allowing organisations to retain deterministic controls while selectively applying AI to support prioritisation, scoring, and insight generation.

How Rules And AI Coexistence Works

Rules and AI coexistence work by defining clear boundaries between deterministic logic and AI-assisted components. Rules continue to enforce mandatory controls and thresholds, while AI models provide supplementary signals such as probability scores, prioritisation guidance, or pattern recognition.

All AI outputs are explainable, reviewable, and subject to governance, ensuring that final decisions remain accountable and auditable.

What Makes Facctum’s Approach Different

Facctum’s approach to rules and AI coexistence is designed specifically for regulated compliance use cases. AI is introduced incrementally and transparently, with clear oversight and alignment to policy and regulatory expectations.

This ensures that organisations can benefit from advanced analytics without compromising trust or control.

Where Rules And AI Coexistence Is Used

Rules and AI coexistence are applied in scenarios such as:

• Screening and matching optimisation

• Probability-based decisioning support

• Alert prioritisation and adjudication

• Behavioural and pattern analysis

These use cases benefit from enhanced insight while maintaining deterministic safeguards.

How Rules And AI Coexistence Fit Into The Platform

Rules and AI coexistence integrate with other platform capabilities such as explainable scoring, probability-based decisioning, AI-assisted alert adjudication, configuration as code, and audit trails. This integration ensures consistent governance across all AI-assisted workflows.

Organisations can control where and how AI is applied across the compliance lifecycle.

Balance Innovation With Control

Learn how rules and AI coexistence can enable responsible, scalable compliance automation, speak with the Facctum team to understand how this capability fits into your overall platform deployment.