Skip to main content

      Organisations are facing a new reality when it comes to compliance: risks arise more quickly, are more closely interlinked and are increasingly difficult to attribute to individual departments. Third-party risks, cyber and data protection incidents, geopolitical tensions, sanctions requirements, and increasing regulatory and cost pressures mean that traditional compliance systems are increasingly reaching their limits. At the same time, management, supervisory bodies and regulators expect verifiable evidence of the actual effectiveness of compliance measures.

      Evidence-led compliance addresses precisely this issue: rather than managing compliance solely through policies, processes or documentation, robust insights from incidents and reports, data patterns and analyses to better understand risks, to develop the compliance environment in a targeted manner, and to efficiently manage the integration of internal control systems, risk management and compliance management.

      What does ‘evidence-led compliance’ mean?

      Evidence-led compliance combines forensic methods, data analysis and compliance transformation into an integrated approach. Findings from investigations, whistleblower cases, control tests, data analyses and risk assessments are systematically utilised to highlight vulnerabilities, identify root causes and derive improvements. 

      This creates a learning compliance system that continuously learns from real-world events and robust data. The focus is not merely on whether processes are formally in place, but on whether they are actually effective and successfully reduce risks. 

      cast

      Current topics relating to prevention, detection and investigation, as well as the practical implementation of new regulatory requirements in the fight against white-collar crime.



      From reaction to resilience


      Reactive Compliance

      Reactive compliance does not end with the clarification of the facts. Investigations, data analysis, e-discovery and interviews initially establish a robust factual basis; it is then crucial to translate the identified causes into appropriate measures and to further develop the control environment in a targeted manner.

      • Compliance Stress Test

      • Incident-to-Improvement Loop

      • Whistleblowing & Investigation Effectiveness 

      Proactive Compliance

      Proactive compliance comes into play where lessons learnt from incidents and risk analyses are incorporated into a more effective and efficient compliance management system.

      • Third Party Integrity 

      • Cost & Control Rationalisation

      Predictive Compliance

      Predictive Compliance takes the shared lifecycle from ad hoc analysis to continuous management. It is not merely a matter of providing data and alerts, but of prioritising relevant signals, contextualising them within the respective risk environment, and consistently linking them to appropriate actions.The approach follows an integrated compliance lifecycle. Risks and vulnerabilities are identified, issues analysed, measures implemented, processes transformed and their effectiveness continuously monitored. Findings from each step feed directly into the next improvement cycle. 

      • Sanctions Risk Transparency,  
        Mitigation & Remediation

      • CMS Monitoring Starter Kit

      • Compliance as a Services

      Reactive Compliance

      Reactive compliance does not end with the clarification of the facts. Investigations, data analysis, e-discovery and interviews initially establish a robust factual basis; it is then crucial to translate the identified causes into appropriate measures and to further develop the control environment in a targeted manner.

      • Compliance Stress Test

      • Incident-to-Improvement Loop

      • Whistleblowing & Investigation Effectiveness 

      Proactive Compliance

      Proactive compliance comes into play where lessons learnt from incidents and risk analyses are incorporated into a more effective and efficient compliance management system.

      • Third Party Integrity 

      • Cost & Control Rationalisation

      Predictive Compliance

      Predictive Compliance takes the shared lifecycle from ad hoc analysis to continuous management. It is not merely a matter of providing data and alerts, but of prioritising relevant signals, contextualising them within the respective risk environment, and consistently linking them to appropriate actions.The approach follows an integrated compliance lifecycle. Risks and vulnerabilities are identified, issues analysed, measures implemented, processes transformed and their effectiveness continuously monitored. Findings from each step feed directly into the next improvement cycle. 

      • Sanctions Risk Transparency,  
        Mitigation & Remediation

      • CMS Monitoring Starter Kit

      • Compliance as a Services


      A key element of this is the shift from reactive to proactive and, ultimately, forward-looking compliance. Companies no longer merely react to incidents, but develop structures that enable risks to be identified at an early stage, monitored and proactively mitigated.   

      The four benefits of evidence-led transformation

      • Greater effectiveness

        Forensic methods help to highlight actual vulnerabilities. Rather than merely identifying gaps in documentation, they examine and quantify real risks, control failures, incidents and potential causes of damage. This provides a much more accurate picture of the actual risk situation. 

      • Greater measurability

        Compliance investments must be able to demonstrate their added value. That is why evidence-led compliance relies on measurable metrics, KPIs, OKRs, control coverage and a structured case-to-control learning loop. Risks, controls and improvements become transparent and manageable. 

      • Greater efficiency

        Many companies have control frameworks that have evolved over time, creating unnecessary complexity. Using modern data analytics, redundant controls, processes and systems can be identified and reduced without increasing the level of risk. The result is a leaner and more efficient compliance management system. 

      • Greater AI capability

        Modern compliance functions require intelligent automation. Evidence-led compliance combines AI-driven processes with governance, transparency, traceability and ‘human-in-the-loop’ principles. This enables scalable support for monitoring, case handling and risk detection. 


      How our experts can support you in practical terms

      Reports and internal investigations provide valuable insights into your organisation. We help you to utilise these insights in a structured manner, address weaknesses in a targeted way and incorporate the lessons learnt into a continuous improvement process. In this way, you can put your organisation’s knowledge to good use, achieve measurable progress and strengthen your resilience in the long term.

      Through continuous monitoring, structured case handling, risk-based analyses and regular management reports, you work alongside our experts to create transparency regarding risks and trends. This ensures that areas requiring action are identified at an early stage. Compliance becomes a continuous cycle that combines learning, improvement and monitoring.

      Evidence-led compliance enables your organisation to learn from incidents and make risks transparent – whilst at the same time providing verifiable evidence of the effectiveness of compliance investments. The aim is a lean, measurable and AI-enabled compliance management system that builds trust. It strengthens the organisation’s resilience and provides a robust basis for decision-making for management, supervisory bodies and stakeholders.

      More KPMG Insights

      Your contacts