Cedar Podcasts

Banks are increasingly embracing digitization to improve efficiency, attract customers, enhance analytics and deliver personalized services. Smaller, agile banks often lead this shift, viewing digitization as a way to grow market share rather than just automate transactions. Digital banking goes beyond mobile or online channels—it represents a customer-centric philosophy that delivers consistent, data-driven experiences across all touchpoints, supported by analytics, automation and cultural change.

Key drivers include rising mobile and internet usage, improved connectivity, availability of big data, and advanced analytics. Digital banking creates revenue opportunities through better customer insights, targeted cross-sell, relationship pricing and higher lifetime value, while reducing costs via automation, optimized channel mix and cloud technologies. However, banks face challenges such as organizational silos, talent shortages, legacy systems, margin pressure and regulatory constraints.

FinTechs and emerging technologies—biometrics, wearables, digital wallets and AI—are reshaping the ecosystem. Ultimately, digitization is not optional; it is core to banking strategy, transforming banks from transaction-focused institutions into customer-centric, data-driven organizations.
  

Global IT spending is massive and growing, making technology a critical source of competitive advantage. Yet around 60% of IT projects fail to meet objectives or timelines, often due to weak business ownership. Successful IT initiatives require strong alignment between business and technology. Ownership must start at the top, with senior business leaders co-owning projects alongside IT heads. Projects should begin with clear, business-driven requirements to ensure early buy-in. IT delivery is a joint responsibility, supported by dedicated cross-functional teams led by senior business managers. Clear milestones, regular sign-offs and executive oversight help maintain momentum and accountability. Equally important is structured change management, including consistent communication and a formal process for managing scope changes. Without strong business ownership, organizations risk opportunity losses, inefficiencies and customer dissatisfaction. True success lies in treating IT projects as business transformations, not just technology implementations.

Banks select vendors based on required detail and time available, leading to four common approaches: traditional RFI–RFP, proof of concept, market leader selection and strategic partnerships. While traditional and PoC methods offer deeper evaluation, they take longer; market leader and partner models are faster but rely on confidence in the vendor. The RFP remains central, focusing on the bank’s objectives, requirements, timelines and evaluation process. Effective RFPs emphasize clear objectives, defined requirements, standard templates and disciplined communication. Common pitfalls include ambiguity, excessive documentation, informal vendor interactions, shortcuts and unrealistic timelines. A well-run RFP improves vendor comparison, cost transparency and outcome quality. Importantly, RFP investments have long-term value when documentation and evaluations are archived for future procurements. Managing RFPs well is both a science and an art, and may benefit from specialist support to maximize returns on effort and cost.
  

Banking technology priorities have shifted markedly over the past decade. CIOs and CTOs have moved focus from core and back-office overhauls to service-oriented architecture, outsourcing and digital transformation. Today’s architecture is shaped by digital, cloud, mobility, analytics and big data, impacting channels, middleware, analytics, payments and core systems. Customer experience now dominates strategy, with heavy investment in digital touchpoints such as video banking, interactive tellers, mobile onboarding and omnichannel service models. Analytics has evolved from retrospective reporting to predictive insights, enabling personalized offers, churn prediction and executive dashboards. Payments are being reshaped by contactless, mobile wallets, APIs and real-time processing, increasing the need for STP, cybersecurity and fraud controls. At the core, banks face tough choices: retain, upgrade, replace or outsource legacy platforms. While core replacement is complex and risky, it is inevitable, as long-term sustainability depends on a modern, extensible core aligned to the new age of banking.

Technology outsourcing, business process outsourcing (BPO) and shared services are entering a new growth phase driven by factors beyond cost arbitrage. As technology adoption accelerates and skill requirements diversify, organizations increasingly rely on best-in-class vendors rather than building all capabilities in-house. While BPO suits large-scale operations, shared services help organizations eliminate duplicated support functions, a model already adopted by over 80% of Fortune 500 companies. Economic disruptions often trigger such transformations, with digital shifts in Western markets and cost pressures in the Middle East acting as catalysts. In the Middle East, IT outsourcing and shared services are expected to grow faster than BPO due to regulatory, language and scale constraints. Key drivers include rising technology adoption, talent shortages, tighter immigration rules, regional expansion, economic cooperation and labor cost differentials. Success begins with reassessing the current operating model, defining target benefits and designing a clear target state to guide partner selection and transition.

Banks setting up Islamic banking operations must carefully choose technology and infrastructure to meet Shariah, regulatory and customer requirements. Islamic businesses typically require separate divisions, Shariah boards, compliant products and often separate general ledgers. Banks can either invest in a single universal banking system (UBS) supporting both conventional and Islamic products, or deploy multiple best-of-breed product processors with integration layers. The single-system approach offers lower costs and simpler architecture, and is common in markets like Saudi Arabia, but may limit functionality. The multi-system model provides stronger Islamic capabilities and faster time to market, though with higher complexity. Successful coexistence depends on six factors: customer master data management, omnichannel routing, flexible service layers, strong middleware, real-time processor integration and enterprise general ledger design. While single systems suit smaller or greenfield banks, larger banks often benefit from specialized product processors, subject to regulation, Shariah approval and market context.

The Covid-19 pandemic has disrupted traditional banking through lockdowns, cash-handling risks, supply-chain stress and rising NPAs, impacting bank profitability. Amid this crisis, a “digital panacea” has emerged, accelerating the shift toward fully digital banking models. Beyond business continuity, banks have an opportunity to permanently transform by embracing three priorities: driving digital adoption to enhance customer acquisition and self-service; building a straight-through-processing (STP) operating model using automation and RPA to improve efficiency; and connecting to the broader digital ecosystem through APIs and open banking. Digital onboarding, mobile and corporate platforms, backend integration and advanced analytics are critical enablers. True value, however, comes only when customer channels, operations and ecosystems are all digitized. By leveraging cloud, automation and secure architectures, banks can reduce reliance on physical branches, expand reach, cut costs and ensure long-term sustainability—turning a crisis into a catalyst for lasting digital transformation.

Post-2008 regulations, evolving markets, and new technologies have fundamentally reshaped treasury functions. Heightened focus on liquidity, capital, and risk driven by Basel norms has made liquidity costlier and elevated the treasurer’s role from cash management to a strategic driver of balance-sheet growth, risk control, and regulatory compliance.

Treasury processes now emphasise integrated platforms that enable real-time risk assessment, automated reconciliation, straight-through processing, and advanced ALM, with many banks running ALM as a profit centre.

People capabilities have evolved accordingly: treasury is no longer a cost center but a central, strategic function working across business lines and geographies, often operating from centralized hubs to optimize costs and collateral.

Technology underpins this shift, replacing fragmented legacy systems with data-driven, automated treasury platforms. AI, analytics, RPA, blockchain, APIs, and cloud are increasingly used for forecasting, settlement, compliance, and efficiency. Ultimately, treasury’s success lies in delivering value by optimizing liquidity, managing risk, and strengthening profitability.

Core banking transformation is often compared to changing an aircraft engine mid-flight, as banks must replace their core systems without disrupting live operations or customer experience. Successful implementation depends on disciplined execution across multiple critical phases. The journey begins with rigorous programme planning, defining activities, dependencies, milestones, ownership, timelines, and communication to ensure a single, aligned plan. Customisation must be tightly controlled, limited only to regulatory, regional, or high-impact needs, as excessive tailoring increases risk. Data migration is a long, complex track requiring multiple mock runs to ensure accuracy and a smooth final cutover. Parameterization captures each bank’s unique products, processes, and accounting nuances within the system. Testing is the defining phase, encompassing system integration, user acceptance, performance, and security testing. Training is equally critical, focusing on both learning the new system and unlearning old practices through hands-on simulations. Finally, go-live readiness must be objectively assessed, as long-term success depends on post-implementation user experience, not just a smooth cutover.

Artificial intelligence is rapidly reshaping banking across front, middle and back offices, replacing routine roles while creating new technology-driven jobs. AI enables tasks such as speech recognition, cognitive analytics and machine learning, allowing systems to learn from data and improve decisions without human intervention. In the front office, AI-powered chatbots, voice assistants and analytics enhance customer experience through 24/7 service, personalised offers and sentiment analysis. In the middle office, AI improves credit decisioning, fraud detection and risk management by combining traditional data with behavioural and alternative data sources. In the back office, AI and related tools like OCR and RPA drive efficiency by automating manual processes, reducing costs and enabling predictive maintenance.

Key challenges include auditability, explainability, data privacy, fragmented systems and limited AI talent. To succeed, banks must build partner ecosystems, adopt open APIs, enable continuous model improvement, reskill teams and establish strong governance frameworks. Ultimately, AI should deliver lower costs, better services and tangible customer benefits.