Digital Operations Innovation Playbook for Banking & Financial Services: Predictive, Profitable, Scalable
Lenders are operating under a converging set of pressures that make profitable growth harder to sustain. With delinquency rising, origination costs climbing, and macroeconomic policy remaining difficult to predict, sustaining profitable loan growth now depends on operational precision as much as on pricing strategy. As banks expand, manual steps, inconsistent workflows, and disconnected systems amplify ...
The Banking Engineering Transformation Playbook: Faster Releases. Lower Risk. Scalable Delivery.
Despite spending over $600 billion on technology annually, productivity across banks and financial institutions has fallen. Vendor sprawl doesn’t just increase cost, it slows delivery, increases release risk, and makes change harder to govern. The predictable result is slower release cycles and less capacity for innovation at a time when speed and reliability are paramount. ...
The Smarter Way to Scale AI in Banking: Lower Engineering Cost-to-Deliver
Key Points Banking customers are asking for more. More personalization, always-on experiences, and new age products. Delivering this at scale is an engineering challenge, and it comes with hidden costs. Delays, reworks, fragmented systems, and incidents. These all get in the way of innovation while running up the bill. In fact, a recent survey found ...
Agentic AI Transforms KYC Refresh with 70% Reduction in Manual Effort and 50% Faster Reviews
Discover how a leading offshore bank reduced manual KYC refresh effort by 70% and accelerated review cycles by 50% using Sutherland’s Agentic AI-powered automation.
Agentic AI Automates Disputes, Driving 60% Productivity Gains
Discover how Sutherland deployed its Sutherland FinAI Hub to transform the end-to-end disputes lifecycle for a leading US card issuer. Through a fully autonomous multi-agent ecosystem, the client improved speed, accuracy, compliance, and customer satisfaction while significantly reducing manual workload and cost.
Agentic AI in Financial Services: Smarter Decisions, Real Outcomes
Financial institutions are entering a new phase of AI adoption. While automation and generative AI copilots have improved productivity, many banking operations remain complex, exception-heavy, and dependent on human intervention. Processes such as onboarding, KYC verification, disputes management, and financial crime investigations require analysts to interpret documents, apply policy, and coordinate across multiple systems, limiting ...
Agentic AI Powers CX Transformation, Reducing AHT by 60% for a Leading Fintech
Discover how a leading fintech reduced AHT by 50–60%, saved 45 minutes per agent daily, and achieved 30% cost reduction using Sutherland’s Agentic AI-powered CX transformation.
Sutherland Named a Leader in Everest Group’s Payments Business Process Services (BPS) PEAK Matrix® Assessment 2025
Sutherland has been recognized as a Leader in Everest Group’s Payments Business Process Services (BPS) PEAK Matrix® Assessment 2025. The recognition underscores our ability to combine deep payments domain expertise with AI-led operations, platform-based delivery, and outcome-driven commercial models. As real-time payment rails and fraud complexity reshape the payments ecosystem, enterprises need partners who deliver ...
RIA Growth Is Outpacing Its Operating Model: Why Strategic Insight Matters More Than Performance
Key Points Registered Investment Advisors (RIAs) are independent wealth-management firms that provide investment advice and financial planning under a fiduciary standard, meaning they are legally required to act in clients’ best interests. Most earn fees based on assets under management (AUM), aligning their growth with client portfolio growth. Serving high-net-worth individuals and families, RIAs have ...
After the Pilots: Where Predictive Operations Should be Automated by Default
The banking industry has heavily invested in AI: 98% of North American institutions now use it for at least one operational process. Yet 70% fail to achieve expected results from AI-driven digital transformation. An MIT study is even bleaker, claiming that only 5% of Gen AI pilots see a positive ROI. What is the pattern ...