ACE-17: AI-Powered IFRS 17 Compliance & Reporting Platform

ACE-17 aims to transform IFRS 17 compliance and financial reporting through an AI-enabled digital platform that combines Microsoft enterprise technologies, Python-based data evaluation, and intelligent analytics. The primary objectives are to automate complex reporting workflows, accelerate actuarial data processing, improve data quality, strengthen reporting consistency, and reduce manual intervention. The platform leverages AI capabilities to enhance data analysis, identify anomalies, support validation, and improve operational efficiency while maintaining appropriate human oversight. Additional objectives include ensuring secure multi-client data management, complete audit traceability, reliable platform availability, and compliance-ready reporting. ACE-17 targets measurable business value through faster reporting cycles, enhanced governance, and a scalable technology foundation for the evolving needs of the insurance industry.

ACE-17 has delivered measurable improvements in reporting efficiency, operational reliability, and governance. The platform has reduced IFRS 17 reporting preparation time by 45–65%, accelerating reporting cycles and reducing repetitive manual effort. It has achieved 99.9% platform availability, providing dependable access to critical reporting functions, and 100% audit traceability across the defined scope of auditable activities, strengthening accountability and compliance review readiness. Zero critical security incidents have been recorded during the reported measurement period. By combining Microsoft enterprise technologies, Python-based data evaluation, and AI-enabled analytical capabilities, ACE-17 has established a foundation for more efficient, intelligent, and secure insurance reporting while enabling actuarial and financial professionals to focus on higher-value analysis and decision-making.

Application Development and Data Processing

• Microsoft .NET / C# for application development.

• Python for data evaluation & processing.

• AI capabilities for intelligent data analysis, validation, anomaly identification, and workflow enhancement.

• Microsoft SQL Server 2022 for structured data storage and management.

• Microsoft Internet Information Services (IIS) for application hosting.

• Azure OpenAI, Co-pilot Pandas, Llama LLM & NumPy

Infrastructure and Security

• Microsoft Windows Server 2019.

• Sangfor Hyper-Converged Infrastructure (HCI) for virtualized workloads.

• Cloudflare Tunnel for protected application connectivity.

• Fortinet security infrastructure for network protection.

• Authentication, access controls, session management, and encrypted communications.

Operational and Supporting Systems

• SQL Server backup and recovery mechanisms.

• Disaster recovery infrastructure and database replication capabilities.

• Application logging and audit-trail mechanisms.

• Secure client access and controlled reporting workflows.

Implementing ACE-17 required integrating multiple technology layers to support complex IFRS 17 reporting requirements within a secure, production-grade environment. The solution combines a .NET/C# application, MSSQL, Python-based data evaluation, and AI-enabled analytical capabilities. A key challenge was coordinating data processing and application workflows while maintaining data integrity, reporting consistency, performance, and complete audit traceability. The platform also needed to protect confidential information while providing reliable access to client-facing services. Integrating intelligent data analysis into established reporting processes required careful validation to ensure that outputs remained suitable for business and regulatory review. The project successfully addressed these challenges while achieving 99.9% availability, a 45–65% reduction in reporting preparation time, and zero critical security incidents during the reported measurement period.

ACE-17 is an AI-enabled IFRS 17 compliance and reporting platform designed to help insurance organizations manage complex actuarial data evaluation and financial reporting more efficiently. Developed within BADRI's actuarial and technology ecosystem, the platform combines Microsoft enterprise technologies, Python-based data processing, and AI capabilities to modernize reporting workflows and improve operational performance.

IFRS 17 introduces demanding requirements for insurance contract measurement, financial data evaluation, reporting consistency, and transparency. Traditional reporting processes can involve extensive data preparation, repetitive processing, manual validation, and coordination between actuarial and financial teams. ACE-17 addresses these challenges through an integrated digital platform that connects application workflows, data management, analytical processing, and reporting activities.

The application uses Microsoft .NET and C# for its web application layer, Microsoft SQL Server for data management, and IIS for application hosting. Python provides the data evaluation and processing capabilities required for analytical workloads. AI capabilities further enhance the platform by supporting intelligent data analysis, identifying potential anomalies, assisting validation activities, and improving the efficiency of reporting workflows, subject to appropriate business validation and human oversight.

Security and accountability are integral to the solution. The platform incorporates controlled access, secure application connectivity, session management, and audit-traceable operations to protect sensitive financial and actuarial information. Its Microsoft-based application and database architecture, supported by virtualized infrastructure and security controls, provides a foundation for reliable service delivery and ongoing enhancement.

The project has delivered measurable operational benefits. Reporting preparation time has been reduced by approximately 45–65%, enabling teams to complete reporting activities more efficiently and allocate more time to analysis and review. The platform has achieved 99.9% availability, supporting dependable access to critical reporting capabilities. It also maintains 100% audit traceability for the defined scope of auditable activities, strengthening accountability and supporting compliance reviews. Zero critical security incidents have been recorded during the reported measurement period.

ACE-17 demonstrates how AI, advanced data processing, and enterprise application technologies can be brought together to address a complex regulatory reporting challenge. By combining measurable productivity improvements with security, traceability, and operational reliability, the platform provides a strong foundation for the continued evolution of intelligent IFRS 17 reporting and insurance technology.

Primary Development and Technology Operations: Pakistan

Business Headquarters: Dubai, United Arab Emirates

Regional Business Context: Middle East and international insurance markets served by BADRI's actuarial and consulting operations.

ACE-17 supports IFRS 17 compliance and reporting activities within BADRI's international business environment. Its technology architecture is designed to support secure client access and the evolving reporting needs of insurance organizations across regional markets. Specific implementation countries should be listed according to confirmed client deployments.