AI boosts MBSP efficiency from two days to five minutes

MENARA BANDARAYA MBSP, SEBERANG PERAI CITY, PENANG, 12 OCTOBER 2026 —

AI Transforms Seberang Perai City Council: From Two-Day Reviews to Five-Minute Decisions as Malaysia’s Local Authorities Embrace Digital Reform

The breakthrough—achieved through AI-driven development plan reviews and automated document checks—highlights how AI is reshaping governance in Malaysia, with the council’s Speedy Squad 1 from its Unit Pusat Setempat (OSC) winning top honors at the AI-Driven Public Service Reform Convention in Penang 2026, held on September 23.

The transformation underscores a broader push by Malaysian public agencies to adopt AI not as a luxury, but as a necessity to meet rising public expectations for speed and transparency. Datuk Bandar Baderul Amin Abdul Hamid, Seberang Perai’s city mayor, told Buletin Mutiara that the technology’s impact extends beyond mere efficiency—it is redefining how local governments operate, provided its deployment is tailored to real operational needs.

"The most critical question is whether the technology actually solves problems and delivers tangible benefits to the public," he said in an interview at his office in Menara Bandaraya MBSP on October 9. "People expect quick resolutions—they don’t want to wait weeks for approvals or decisions."

At the heart of MBSP’s AI revolution is automated development plan reviews, where the council’s Building Department now uses ChatGPT to pre-screen technical drawings and blueprints—a process that once required manual, time-consuming verification. The system’s ability to flag inconsistencies in minutes has allowed officers to focus on high-value, professional judgments rather than routine checks.

"AI doesn’t replace human decision-making, but it eliminates redundant work and ensures officers can devote more time to complex assessments," Baderul Amin explained. The council aims to digitize 70 to 80 percent of suitable processes, while reserving human oversight for cases requiring technical expertise or discretionary approvals.

Beyond development reviews, MBSP is deploying AI in multilingual support, using tools to generate presentations, translate content, and deliver briefings in multiple languages—a feature that has boosted officer confidence when engaging diverse stakeholders. The mayor emphasized that AI’s role is supplemental, not substitutive: "We must ensure the information generated is accurate before any decision is finalized. Technology accelerates work, but human verification remains non-negotiable."

Cost-effectiveness has been a defining principle of MBSP’s AI strategy. A case in point is its low-cost vehicle detection system, which uses license plate recognition to monitor truck movements in the Perai Industrial Zone. Before its implementation, revenue collection from road restrictions and permits was stagnant at around RM700 annually. Within months of deploying the AI system, collections surged to RM17,000 in its first operational month, eventually reaching RM500,000 by 2024.

The mayor rejected the notion that advanced technology must be expensive: "The best technology is the one that solves a specific problem at a reasonable cost. We prioritize maximum impact with minimal investment."

Proactive infrastructure management is another frontier. MBSP has integrated AI-powered cameras to detect potholes and road damage before public complaints arise, enabling data-driven maintenance planning. Collaborating with Agensi Angkasa Malaysia (MYSA), the council is also using satellite imagery to identify unauthorized development, while smart cameras monitor environmental hazards such as obstructing trees or illegal dumping.

These initiatives reflect a shift from reactive to predictive governance, though Baderul Amin cautioned that execution depends on budget and manpower. "Technology can identify issues, but action requires resources—whether financial or human."

Yet challenges persist. The mayor identified data silos and inter-agency coordination as the biggest hurdles. For instance, while AI cameras can detect unauthorized truck movements, enforcing penalties requires real-time data sharing with the Road Transport Department (JPJ), police, and legal teams. Without seamless integration, even the most advanced surveillance risks becoming ineffective. "We can detect violations, but if systems aren’t connected, we can’t act," he said.

Similarly, landowner verification and automated licensing face delays due to fragmented records across agencies. The solution, he stressed, lies in mandating standardized data-sharing protocols alongside technological adoption.

For developers and consultants, the digital overhaul promises faster, more transparent approvals. Previously, development plan submissions required coordination with up to 17 departments, a process prone to document errors, duplication, and delays. AI now streamlines reviews, while developers can use the same tools to pre-check their own plans before submission—reducing rejections due to preventable mistakes.

MBSP has set a target to deliver development approval decisions within 73 days, whether approved or rejected, with ambitions to further tighten timelines.

The mayor framed success not in the number of systems deployed, but in how much they reduce bureaucracy and accelerate service delivery. As Malaysia’s local authorities race to modernize, Seberang Perai’s AI-driven reforms offer a blueprint for balancing innovation with practicality—proving that in public service, speed and efficiency need not come at the cost of accountability.

With the Penang Public Service Reform Convention 2026 spotlighting AI as the future of governance, other Malaysian councils are likely to watch closely as MBSP’s experiment unfolds. The next phase will test whether seamless inter-agency collaboration can turn AI’s detection capabilities into real-world enforcement, ensuring technology serves not just as a tool, but as a catalyst for lasting administrative change.

Related: Datuk Bandar Baderul Amin Abdul Hamid