https://www.dawn.com/news/1922656/fbr-rolls-out-ai-driven-system

Pakistan’s Federal Board of Revenue (FBR) has introduced a new AI-driven Customs Clearance and Risk Management System (RMS), marking the country’s first use of artificial intelligence in its revenue operations scheme. The system employs AI and automated bots to evaluate the nature and value of imported and exported goods, aiming to reduce human errors, allowing a more streamlined tax assessment. Early testing revealed a 92% boost in system performance followed by an 83% increase in taxable goods declarations and a 2.5‑fold rise in green‑channel clearances which indicated faster custom processing. Lastly, Prime Minister Shehbaz Sharif praised the initiative, linking it to a broader tax-reform effort that has recovered Rs 178 billion till now furthermore urging towards a fully integrated and sustainable deployment of the system.

https://www.dawn.com/news/1922185/balochistan-eyes-ai-to-monitor-maintain-road-network

Balochistan’s Chief Minister, Mir Sarfraz Bugti, announced plans to deploy artificial intelligence for monitoring and maintaining the province’s road network, particularly in remote and underserved areas. In a meeting with the Communications and Works Department held on July 5, officials were briefed on an AI-driven system designed to assess road conditions in real time to ensure quality standards and prevent misuse of development funds leveraging towards a more non-traditional path, adopting smarter improved solutions. Bugti emphasized that the adoption of such technology is crucial to enhance transparency, efficiency and the longevity of road infrastructure alongside instructing relevant departments to fast‑track consultations in order to present implementable recommendations for piloting the system.