The infrastructure sector is facing immense challenges in ensuring the safety, resilience, and sustainability. Traditional inspection methods are often time-consuming, labour-intensive, and prone to human error. This paper explores the adoption of advanced inspection methodologies powered by artificial intelligence (AI) to achieve safety, serviceability, and sustainability (3S) of built infrastructure. We present the integration of Unmanned aerial vehicle (UAV) or Drone-based inspections and advanced non-destructive testing (NDT) techniques such as multi-frequency microwave scanning for comprehensive infrastructure assessment. UAVs capture high-resolution visual and thermal images, enabling AI algorithms to identify and categorize defects with high accuracy. NDT techniques like microwave scanning delve deeper into identified defects, generating 3D holographic images to determine the size, shape, location, and corrosion condition of reinforcement, presence of internal defects and moisture. This paper presents a case study showcasing the application of these techniques for a structure in real-life. The study highlights the significant productivity gains achieved through the use of cloud platforms like Inspectica™, which integrates various inspection methods into a centralized lifecycle management tool.