- Measuring ACA effectiveness should extend beyond operational outputs to include institutional capacity, organisational resilience, prevention outcomes, and societal impact.
- Institutional self-assessment should be viewed as a continuous learning process that supports evidence-based decision-making and organisational improvement.
- Prevention and integrity education require stronger outcome-oriented indicators capable of measuring behavioural and institutional change rather than activities alone.
- Reliable measurement of anti-corruption effectiveness depends on stronger collaboration between ACAs and National Statistical Offices to improve the availability and quality of corruption-related data.
- Digital technologies and AI present significant opportunities to strengthen investigations, risk detection, and performance measurement, while requiring appropriate governance, safeguards, and institutional capacity.
- International cooperation and peer learning remain essential for addressing increasingly complex and transnational forms of corruption.
- Measuring effectiveness should ultimately strengthen institutional credibility, improve public trust, and support continuous improvement rather than serve as a comparative ranking exercise.
