Cognitive Engine

Governance that gets
smarter with every
transaction.

J-10's Cognitive Engine watches every governed transaction, detects patterns, correlates outcomes and recommends improvements, continuously.

It recommends.
You decide. It learns.

Policy Intelligence
Monitors for policy drift. Surfaces outdated rules. Generates candidate policy updates.
Rule Self-Tuning
Analyses effectiveness based on exception rates, override patterns and outcomes.
Adaptive Risk Scoring
Risk models recalibrate continuously from real operational data.
Exception Intelligence
Spots patterns humans would miss: clustering by jurisdiction, department, vendor type, time period.
Approval Intelligence
Identifies approvals that could be safely automated. Flags anomalies.
Human in the Loop
Always. The engine never acts autonomously. Every recommendation requires human review.

Recommendations from
production deployments

Threshold Optimisation

Your $10K threshold routes 350 txns/month. 96% between $10K–$20K from Tier 1 vendors were approved without modification. Recommendation: raise to $20K. Impact: 210 fewer manual approvals. Confidence: 0.94.

Counterparty Risk Pattern

Counterparties with <3 years history, 2+ jurisdictions, no enhanced due diligence have 4.2x higher breach rate. 38 contracts match. Recommendation: enhanced monitoring. Confidence: 0.89.

Policy Drift Detection

Your data privacy policy generated 420 exceptions last quarter, 73% from APAC. Recommendation: create APAC regional override. Impact: ~310 fewer exceptions/quarter. Confidence: 0.91.

Filing Risk Prediction

Q3 FCA filing at elevated risk. Data collection has been 8 days late in 3 of 4 quarters. Recommendation: shift trigger from T-45 to T-52. Flag: Head of Regulatory on leave during approval window. Confidence: 0.87.

Experience the
Cognitive Engine