NAB to launch AI-based investigation system to probe financial crimes, white-collar offences

The National Accountability Bureau (NAB) has established an artificial intelligence-based investigation system, National Centre of Artificial Intelligence (NCAI) Chairman Dr Yasar Ayaz said in a statement on Tuesday. “It is a landmark advancement towards digital transformation and institutional modernisation,” he said, terming it as Pakistan’s first sovereign generative AI-powered investigation system. He described the system as a state-of-the-art platform designed to support the investigation of white-collar crime through advanced artificial intelligence. He highlighted that the initiative reflected Pakistan’s growing capability to develop indigenous AI solutions tailored to national requirements while maintaining data sovereignty and institutional ownership. The NCAI chairman said NAB’s AI-powered investigation system sets a national benchmark for the responsible adoption of artificial intelligence in public-sector institutions. The platform was expected to improve the speed, accuracy, and effectiveness of investigations involving financial crimes, corruption, and other complex white-collar offences. Ayaz contended that by assisting investigators in managing information and generating meaningful insights, the system would support evidence-based decision-making and strengthen institutional accountability. The initiative represents a transformative step in NAB’s ongoing reform agenda and demonstrates the bureau’s commitment to leveraging modern technologies to enhance transparency, efficiency, and public trust. The official said the project aligns with broader national efforts to promote innovation, digital governance, and the use of emerging technologies for public service delivery. In this regard, a meeting was held under the supervision of NAB Islamabad/Rawalpindi Director General Waqar Ahmed Chauhan. The meeting was attended by experts from the NCAI, including Ayaz, along with members of the AI development team. During the session, the NCAI team presented a comp