Banking in the APAC region has proved itself to be highly resilient with regional variations. Credit conditions¹ are expected to remain largely neutral across the region though countries like greater China, Taiwan, Hong Kong, and Thailand are likely to expect a downside credit loss risk of up to USD 730 billion² across 2026–2027.

But across the region, one thing is clear – the business of banking cannot continue the way it has over the decades. Modern banks must manage increasingly complex commercial relationships, deliver highly personalized and dynamic pricing, offerings and engagement, reduce operational inefficiencies, and continue their innovation trajectories. As competition continues to increase, from not just other banks but also non-banking entities, banks must prioritize revenue realization.

The challenge is that many of the systems at the heart of banking operations were never designed for this level of complexity. Core banking platforms were built for stability, standardization, and transaction processing. They continue to serve as reliable systems of record, but they are often unable to support the agility, configurability, and orchestration required for modern revenue realization. As a result, core modernization is now at the top of most Asian banks’ agenda.

Why Revenue Innovation Requires a New Technology Approach

Revenue innovation in banking today goes far beyond launching new products. It depends on a bank’s ability to configure complex commercial deals quickly, deliver relationship-based and dynamic pricing, bundles and usage-based offerings, respond rapidly to market and regulatory changes, and manage the entire corporate deal lifecycle to plug revenue leakage and eliminate inefficiency.

Many banks are still working with core banking systems that were built for a different, simpler era of banking. In fact, almost  70 percent³ of the software in use today was developed at least 20 years ago. These legacy core systems are often monolithic and tightly coupled and even relatively small pricing or product changes can require extensive development cycles, multiple dependencies, and lengthy testing processes. This creates a significant disconnect between business strategy and execution capability as banks struggle to operationalize new revenue strategies quickly because the underlying technology environment lacks flexibility. In many organizations, pricing, deal management, billing, servicing, and reporting continue to operate across disconnected systems and manual workflows. This fragmentation leads to delays, inconsistent execution, operational inefficiencies, and revenue leakage.

Moving Beyond Core Replacement

Banks in the APAC region are actively working on expanding revenue streams and exploring new strategies to improve efficiency and deliver personalized offerings to their customers. And they understand that technology holds the key to success in a disruptive and highly competitive market. They are investing in digital transformation, with spends expected to increase from USD 30. 4 billion in 2025 to USD 48.6 by 2027⁴. The question is, what kind of transformation will they be investing in? In the past, banks focused on customer-facing touchpoints and processes. But at this juncture, they must shift their attention to deeper, more foundational systems and processes if they wish to drive revenue innovation.

Organizations can approach modernization through large-scale core transformation initiatives. While these programs can deliver long-term benefits, they are often expensive, time consuming, and operationally risky. For many institutions, replacing deeply embedded mission-critical infrastructure is simply not practical in the near term. Instead, they can opt to introduce intelligent execution layers around it. These layers extend existing infrastructure with modern capabilities, while leaving the underlying system of record intact.

Core augmentation allows banks to modernize incrementally by deploying specialized capabilities for enterprise pricing and product management, deal configuration and negotiation, billing and invoicing orchestration, relationship-based pricing, revenue lifecycle management, and AI-driven analytics and optimization. Rather than replacing the entire core banking infrastructure, banks can layer these capabilities over existing systems to create a more agile and intelligent revenue execution environment. This approach allows organizations to innovate faster, introduce new commercial models more efficiently, and improve revenue precision without disrupting critical transaction processing environments.

Core Augmentation as a Revenue Execution Layer

A core augmentation strategy enables banks to separate the system of engagement from the system of record. The legacy core continues to handle transactions and account processing, while the augmentation layer drives agility, orchestration, and monetization innovation. This approach can be used for:

• Dynamic Pricing and Monetization: Static, product-centric pricing strategies are no longer effective in supporting the complexity of modern commercial relationships. Both retail and corporate customers now expect relationship driven, dynamic pricing models that address their needs and behavior. An augmented core will help banks to transform pricing into a configurable, governed, and continuously optimized capability rather than one that is rigidly embedded in fragmented legacy systems. By leveraging customer behavioral data, profitability insights, and market intelligence, banks can refine pricing strategies dynamically and respond faster to changing market conditions and customer expectations.
• Faster and More Accurate Deal Execution: Modern corporate banking is a highly complex web of multiple products, customized terms, negotiated pricing structures, and approvals spanning several business functions. Fragmented legacy systems and processes cannot keep pace with the demands of today’s deals, resulting in inconsistent implementation, operational delays, and execution gaps. Core augmentation helps corporate banks streamline and coordinate deal workflows by enabling reusable pricing and product configurations, automating approvals, simulating outcomes, and more. Banks can connect negotiated terms directly to execution systems, improve visibility into profitability and risk, and reduce manual errors and operational delays. This ensures greater consistency between what is negotiated with the customer and what is ultimately executed operationally and reflected accurately in billing and revenue realization.
• Revenue Precision Across the Lifecycle: A key concern for most banks across the APAC is plugging revenue leakage and ensuring revenue precision. This remains a challenge for most organizations thanks to the disconnect between pricing, deal structuring, implementation, and billing. Even when commercial agreements are negotiated correctly, execution gaps across systems and teams can lead to underbilling, revenue leakage, delayed invoicing, customer disputes, and operational inefficiencies. Core augmentation helps address this challenge by ensuring continuity across the revenue lifecycle. Key elements like recreating pricing logic, deal terms, product configurations, and billing rules are handled through a connected, automated orchestration layer, eliminating manual errors and misses. This improves revenue precision, operational transparency, and governance across the entire monetization process.
• Enabling AI-Driven Revenue Innovation: Only 10 percent⁵ of banks in the APAC region are ready to scale AI to drive measurable business value. But interest in the technology is growing and most organizations are looking to embed AI into commercial operations. These capabilities require connected data, configurable workflows, and flexible orchestration environments that many legacy core systems cannot support independently. Cloud-native, microservices-based middleware platforms help bridge this gap by enabling banks to layer AI-enabled capabilities over existing infrastructure without disrupting critical core operations. This creates a more agile environment where banks can experiment with new pricing models, launch innovative offerings faster, and continuously optimize revenue strategies.

Core augmentation represents a significant opportunity in how banks approach transformation. Rather than focusing solely on replacing legacy infrastructure, banks are increasingly prioritizing capability transformation by modernizing the functions that directly impact growth, profitability, customer experience, and revenue execution. By augmenting the core, banks can accelerate innovation, improve agility and scalability, modernize pricing and deal management capabilities, strengthen revenue governance, support AI-driven monetization strategies, and deliver more personalized and competitive offerings.