The Problem We Address
Many of the world's most critical business systems in banking, insurance, government, and industry across ASEAN still run on IBM i (AS400) and other legacy environments. These systems hold decades of the most important operational data an organization has.
Before AI can deliver value, that data needs to be accessible, clean, and integrated with modern platforms. This is not a future problem. It is the current bottleneck for AI adoption across the region today. One that requires deep technical expertise to navigate without disrupting the operations that depend on those systems.
Our IBM i modernization work is built in partnership with Profound Logic.
Profound Logic is the leader in IBM i modernization software. We are an authorized reseller and implementation partner. Clients get proven technology paired with our on-the-ground delivery in Canada and Asia Pacific. A faster, lower-risk path from legacy IBM i to AI-ready infrastructure.
View Profound Logic case studiesWhat We Do
- Assess your IBM i and legacy environment for AI readiness, integration capability, and modernization priority
- Define a structured modernization approach that preserves operational continuity throughout
- Unlock and connect legacy data to modern platforms and AI pipelines
- Resell and implement Profound Logic IBM i modernization software as an authorized partner
- Coordinate delivery partners across the modernization lifecycle
- Bridge the technical and business stakeholder gap. Translate legacy complexity into executive clarity
- Draw on direct ASEAN experience including work with one of Southeast Asia's largest financial institutions
A practical path from legacy infrastructure to an AI-ready data foundation, without disrupting the operations that depend on it.
Use Cases
IBM i Readiness Assessment
Structured evaluation of your IBM i environment for AI integration capability, data accessibility, and modernization priority, with a practical roadmap as the deliverable.
Data Liberation & API Enablement
Unlocking legacy data from IBM i and connecting it to modern platforms, analytics tools, and AI pipelines via API, without touching source code or disrupting operations.
Modernization Roadmap Development
A phased, risk-managed modernization plan that aligns with business priorities and minimizes operational disruption throughout the transformation.
Cloud Integration Planning
Architecture and planning for connecting IBM i environments to AWS, Azure, or Google Cloud, including data migration strategy and integration design.
Vendor & Partner Coordination
Independent coordination of the delivery partner ecosystem across the modernization lifecycle. All parties aligned and moving toward the same outcome.
Real-Time Data Access Architecture
Design and implementation of real-time data access capabilities from IBM i systems, enabling AI and analytics without disrupting HRMS, payroll, or core banking operations.
Case Studies
Southeast Asian Bank: IBM i Modernization & AI Foundation
Financial Services · Southeast AsiaChallenge
One of Southeast Asia's largest financial institutions needed to modernize its IBM i environment to enable digital banking capabilities and establish the data foundation for future AI programs, while maintaining 63 billion transactions per year without disruption.
Approach
Unifai conducted a full IBM i readiness assessment, defined the modernization architecture using Profound Logic technology, aligned local and international delivery partners, and provided ongoing orchestration across the engagement. Bridging technical teams and senior leadership throughout.
Results
Successful modernization of core IBM i infrastructure. AI-ready data foundation established. Vendor ecosystem aligned. Digital banking capabilities unlocked. Foundation for future AI program confirmed by institution's technology leadership.
Insurance Provider: Legacy Data Integration for Analytics
Insurance · Asia PacificChallenge
A regional insurance provider had critical policy and claims data locked in legacy IBM i systems. The data was inaccessible to modern analytics platforms, blocking both AI adoption and regulatory reporting improvements.
Approach
Unifai assessed the existing data architecture, designed an API enablement layer that provided real-time data access without modifying core systems, and coordinated the delivery partner for implementation.
Results
Real-time data access enabled across analytics and reporting platforms. Legacy systems preserved with no operational disruption. Foundation established for predictive claims analytics in phase two.