Closing the ERP Value Gap to Enable AI-Ready Operations
Cloud ERP was meant to create standardized, scalable operations and enable AI-driven innovation. But many organizations are still dealing with fragmented processes, delayed reporting, customization debt, manual workarounds, and reporting gaps that make it harder to realize ROI or use embedded AI at scale. This whitepaper explains how enterprises can close the ERP value gap ...
AI-Led Hyper-Personalization: Turning Retail Insight into Enterprise Growth
Retail firms can use AI to predict intent, personalize offers, and drive next-best actions. Those that scale AI can achieve 5-8% revenue uplift and 15-20% higher customer satisfaction. Yet execution remains a challenge, with over 60% of retailers struggling to turn customer data into real-time merchandising and inventory decisions. This whitepaper shows how retail leaders ...
30% Faster Processing, 20% Lower Costs for Oncology Leader
See how Sutherland helped a global leader in radiation oncology solutions cut wait times by 30%, lower inventory costs by 20% and optimize cloud spend.
224% Call Surge Absorbed: Scalable 24×7 Support Model Delivered for a Global Payroll Leader
Discover how Sutherland enabled 24x7 global support for an entertainment payroll leader with rapid ramp-up, omni-channel coverage and scalable operations.
Driving 60% Revenue Growth for a Secure Workspace Leader
Drive 60% revenue growth with cloud modernization, product engineering and faster release cycles for a global secure workspace solutions leader.
Drowning in Signals: Why IT Operations Needs a New Autonomous Operating Model
Key Points IT leaders know this chaos well: an alert fired at 2 AM, followed by a flood of others. By the time an engineer identifies the cause, often a single misconfigured service, the damage is already done. This is the reality of reactive IT operations in 2026. Hybrid environments have become the default. With ...
The Best IT Incident is the One That Never Happens
Key Points Enterprises today have a response problem. The gap between identifying an incident and resolving it has become one of the biggest sources of business risk. While high-performing organizations contain failures within hours, many enterprises take days or even weeks. In that window, the impact compounds in the form of lost revenue, disrupted operations, ...
The AI ROI Mirage in Banking (Ungated)
Banks are investing heavily in AI, but many programs still struggle to show a measurable financial impact. The problem is not always technology. It is the value frame. Most banking AI initiatives are still judged through a narrow productivity lens: hours saved, licenses deployed, headcount reduced. But in financial services, AI value often shows up ...
AI SDLC vs. Agentic SDLC: Why Enterprises Need Orchestrated AI for Software Engineering
Key Points Enterprises are increasingly under pressure to deliver software faster, with better quality, while under multiple increasing regulatory and security constraints. The multitude of AI tools that we have today are rapidly entering software development through coding assistants, AI-driven quality assurance, automated documentation, and intelligent code reviews. However, can simply adding AI tools transform ...
The AI ROI Mirage in Banking
Explore why productivity alone is not enough to measure AI ROI in banking, and how Sutherland’s six-lever framework helps financial institutions prove and scale AI value.