An Artificial Intelligence Prototype for Corporate Intermediaries and Auditors in Malaysia โ Enabling Proactive Compliance Analytics, Document Verification, and Corporate Action Intelligence for SSM-Regulated Entities.
Corporate intermediaries manage compliance obligations for thousands of entities simultaneously โ yet the current ecosystem is fundamentally reactive.
Non-compliance is detected only after statutory breaches have already occurred, resulting in avoidable penalties for businesses.
Company secretaries and auditors manually track filing deadlines, governance obligations, and director responsibilities across large portfolios.
Without predictive intelligence, SSM faces resource strain from downstream enforcement actions that could have been prevented upstream.
Companies registered with SSM requiring ongoing compliance oversight
Of compliance breaches are preventable with early-warning systems
ComplianceAI transforms Malaysia's compliance model from breach-detection to risk-prevention
ComplianceAI integrates AI, DLT, and automation into a unified compliance intelligence platform purpose-built for Malaysia's SSM regulatory framework.
AI-driven monitoring that generates real-time compliance health scores and early risk alerts across entire corporate portfolios.
Cryptographic verification of corporate documents using Distributed Ledger Technology to ensure authenticity and audit integrity.
Automated alerts for filing deadlines, governance obligations, and director responsibilities across all managed entities.
AI-generated recommendations guiding intermediaries toward compliant actions before any breach occurs.
ComplianceAI is designed to directly address SSM's key research focus areas, with primary alignment to the priority pilot solutions track.
Enhancing corporate governance practices among companies, businesses and LLPs
Improving legal compliance and adoption of best practices among companies, businesses and LLPs
Enhancing practices related to corporate intermediaries, auditing and dissolution of corporate entities
Digital transformation of companies, businesses and LLPs
Development of Pilot Solutions for Corporate Intermediaries and Auditors using Artificial Intelligence (AI) PRIMARY
ComplianceAI directly addresses SSM's priority to build AI-powered pilot solutions that empower corporate intermediaries and auditors โ the gatekeepers of Malaysia's corporate governance ecosystem.
๐ Ref: SSM/BSKK/SSK/03( )/2026 โ Submitted in English per SSM guidelines
A phased delivery approach ensuring structured progress from requirements through pilot deployment and final reporting.
A structured 12-month budget designed for maximum research impact, aligned with SSM grant guidelines.
| Budget Category | Description | Amount (RM) |
|---|---|---|
| Personnel | AI/ML engineer, DLT developer, UX researcher | 67,500 |
| Technology & Infrastructure | Cloud compute, DLT node, AI model hosting | 37,500 |
| Research Activities | Pilot coordination, user research, testing | 22,500 |
| Reporting & Dissemination | Documentation, final report, publications | 15,000 |
| TOTAL | 150,000 |
Measurable outcomes that advance Malaysia's corporate governance ecosystem and create replicable value for SSM and intermediaries.
A fully functional ComplianceAI prototype with all four modules deployed and tested in a real-world regulatory environment.
Corporate intermediaries and auditors actively using the platform, generating real compliance data and performance benchmarks.
Comprehensive final report documenting methodology, findings, compliance improvement metrics, and scalability recommendations for SSM.
An immutable DLT-anchored compliance data repository providing SSM with a trusted, auditable record of corporate governance activities.
Research paper or policy brief submitted to a relevant Malaysian legal/tech journal or regulatory body, contributing to academic knowledge.
A replicable AI compliance architecture that SSM or industry partners can extend beyond the pilot to the broader Malaysian corporate ecosystem.
Companies Commission of Malaysia โ the regulatory authority and grant body for this R&D program.
Application submitted with all required sections completed and supporting documents attached.
All sections including Researcher Info, Research Info, Gantt Chart, Outputs, Financials, PDPA Notice, and Declaration.