Explain how perpetual KYC differs from fixed-cycle periodic review models and the detection gap it closes.
Finance & Banking
Perpetual KYC and Event-Driven Customer Due Diligence Reviews
Trains KYC and AML operations teams to design event-driven due diligence reviews that trigger on real risk changes, replacing fixed-cycle refreshes with continuous, data-driven monitoring.
🗓️Duration5 training days
📚Content4 modules · 8 sessions
🎓On completionAccredited attendance certificate
About the programme
Course Overview
A customer whose risk profile changed the day after their periodic review was completed can sit undetected for one, two or three years, because fixed-cycle know your customer reviews were never designed to catch change between scheduled dates. Perpetual KYC replaces that calendar with triggers, such as a sanctions list update, an adverse media hit, a change of director, or a transaction pattern that no longer matches the customer's stated profile, each capable of opening a targeted review the moment it happens. This course sets out how to design trigger logic and dynamic risk scoring, how to source and validate the data feeds that make continuous monitoring possible, and how to redesign case management workflow so that event-driven alerts do not simply create a new backlog. Participants map current periodic review processes against event-driven alternatives, define trigger thresholds for common risk changes, and build a target operating model that reduces unnecessary full refreshes while closing the detection gap that fixed cycles leave open.
Expected Learning Outcomes
Design trigger logic based on adverse media, sanctions updates, ownership change and transaction behaviour.
Build dynamic customer risk scoring models that update as new data becomes available.
Source and validate the data feeds required to support continuous customer monitoring.
Redesign case management workflow to handle event-driven alerts without creating new backlogs.
Calibrate trigger thresholds to balance review workload against genuine risk detection.
Present a target operating model for transitioning from periodic to perpetual KYC.
Who Should Attend
KYC and customer due diligence operations managers redesigning review processes.
AML compliance officers responsible for ongoing monitoring programme design.
Financial crime technology teams building or buying perpetual KYC platforms.
Heads of financial crime operations managing periodic review backlogs.
Risk and control functions assessing the effectiveness of ongoing due diligence.
Programme managers leading transformation from periodic to event-driven KYC.
Course Modules
Select any module to see its sessions and points.
01From Periodic Review to Perpetual KYC
2 sessions · 8 points
Session 1Limits of Fixed-Cycle Periodic Review
- Assess how fixed review cycles leave a detection gap between scheduled customer due diligence dates.
- Identify the operational cost and backlog pressure created by calendar-driven refresh programmes.
- Evaluate regulatory expectations for risk-based, ongoing monitoring versus fixed periodic review.
- Compare periodic and perpetual KYC models against customer experience and resourcing outcomes.
Session 2Principles of Event-Driven Due Diligence
- Define the categories of trigger event that should prompt a targeted customer due diligence review.
- Distinguish full customer due diligence refresh from targeted, trigger-specific review scope.
- Map trigger events to the specific due diligence fields and documents they should reopen.
- Assess governance requirements for approving and retiring trigger definitions over time.
02Designing Triggers and Dynamic Risk Scoring
2 sessions · 8 points
Session 1Building Trigger Logic for Common Risk Events
- Design trigger rules for sanctions list updates, adverse media hits and watchlist changes.
- Define triggers for ownership, director and control changes identified through registry data.
- Build transaction behaviour triggers that flag activity inconsistent with the customer's stated profile.
- Prioritise and sequence multiple simultaneous triggers on the same customer record.
Session 2Dynamic Customer Risk Scoring Models
- Design a customer risk scoring model that updates automatically as new data is received.
- Weight risk factors so that scoring reflects current behaviour rather than only onboarding data.
- Validate risk score changes against known cases to check the model behaves as intended.
- Assess model governance requirements for explaining and auditing automated risk score changes.
03Data Sourcing, Quality and Technology
2 sessions · 8 points
Session 1Sourcing and Validating Monitoring Data Feeds
- Identify external data sources needed for sanctions, adverse media and registry monitoring.
- Assess data quality, latency and coverage limitations across third-party data providers.
- Establish golden source data governance to prevent conflicting customer records across systems.
- Design data validation checks that catch feed failures before they create monitoring gaps.
Session 2Technology and Automation for Perpetual KYC
- Evaluate application programming interface and automation options for continuous data ingestion.
- Assess build, buy and hybrid technology options for perpetual KYC platforms.
- Integrate perpetual KYC alerts with existing transaction monitoring and case management systems.
- Identify automation opportunities that reduce manual effort in low-risk trigger resolution.
04Operating Model, Workflow and Transition
2 sessions · 8 points
Session 1Redesigning Case Management Workflow
- Redesign case management workflow to triage event-driven alerts by severity and complexity.
- Define service level expectations for resolving different categories of trigger event.
- Allocate resourcing between trigger resolution and any residual periodic review population.
- Design escalation paths for triggers that reveal material new financial crime risk.
Session 2Transitioning and Governing the New Model
- Build a phased transition plan moving customer segments from periodic to perpetual review.
- Calibrate trigger thresholds using pilot data before full-scale rollout.
- Report perpetual KYC performance metrics to senior management and relevant risk committees.
- Establish a continuous improvement cycle that retires ineffective triggers and adds new ones.
What the participant receives
4 course modules
A structured syllabus
8 training sessions
across 5 days
32 detailed points
Applied, detailed content
Accredited attendance certificate
On completing the programme
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