Sutherland

Bringing disruption to life. okt.to/6UvjLH Every great disruptor starts with a bold idea. But scaling that idea — without losing its soul — takes precision, partnership, and purpose. The Wall Street Journal feature explores how Sutherland helps the world’s boldest brands turn imagination into intelligence, and disruption into measurable outcomes.

The next competitive battle in travel won’t be for travelers. okt.to/Oruzj8 It will be for AI agents. By the decade’s end, 30% of bookings will be autonomous. If your systems can’t respond autonomously, you risk: • Margin erosion • Distribution invisibility • Operational bottlenecks Agentic AI embeds execution into your enterprise, not just insights. Download Outlook 2026 to see how to protect margins and lead in the agent-driven travel economy. #AgenticAI #TravelTech

We had great conversations at Sutherland's CXO Innovation Exchange, where we brought together CXOs and senior execs from Retail, Travel, and Manufacturing to turn AI into business wins. Ray Wang from Constellation Research opened with a keynote, followed by a panel on hyper-personalization. Boston Consulting Group (BCG)'s Ashwin Bhave shared invaluable perspectives on where these industries are headed. For businesses facing challenges in embedding AI into operations, modernizing tech stacks, and using real-time data for sharp decisions, these insights deliver. Looking forward to continuing our discussions that deliver real outcomes. #AIInnovation #DigitalTransformation #HyperPersonalization

AI success starts with readiness - not hype. Discover how prepared your IT and shared services ecosystem really is: okt.to/BNGRrt Sutherland’s ETS AI Readiness Assessment helps leaders benchmark their maturity across data, process orchestration, and governance, turning insight into a practical roadmap for enterprise-scale transformation. Measure your readiness. Build your roadmap.

Moving from AI experimentation to enterprise-wide execution requires more than models. okt.to/7pvioe It requires an operating model built for financial services. Meet Sutherland FinAI Hub. A production-grade AI operating model designed specifically for BFS. It combines a responsible AI foundation, intelligent orchestration, and a ready workforce of BFS-specific AI agents. ➜ It connects seamlessly to your core systems and servicing platforms. ➜ It executes workflows end to end. ➜ It delivers transparent, auditable decisions. ➜ It keeps humans in the loop where it matters most. From pilots to full-scale deployment, FinAI Hub helps banks, fintechs, credit unions, card issuers, auto financers, and payments firms scale with confidence. This is how financial institutions operationalize AI securely, responsibly, and at enterprise scale. #SutherlandBFS okt.to/GtLBcw

Improving quote-to-bind ratios in a competitive insurance market requires more than incremental change. It requires intelligent, scalable execution. okt.to/KJpwk8 A leading U.S.-based online insurance agency faced rising inquiry volumes across P&C and Life. The priority was clear: pre-qualify leads faster, match prospects more accurately, and protect agent productivity. Here’s how Sutherland delivered measurable impact: • 100+ FTE Sales Support Center of Excellence • Strategic outbound calling to validate intent and accelerate live transfers • Tailored pre-qualification frameworks to enhance lead quality By combining intelligent automation with customer-centric engagement, we helped the client scale efficiently, maintain quality, and transform lead management into a sustainable growth engine. #SutherlandInsurance

𝗖𝗹𝗼𝘂𝗱 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗲𝗻𝗱 𝗮𝘁 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻. 𝗧𝗵𝗮𝘁’𝘀 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗯𝗲𝗴𝗶𝗻𝘀. okt.to/6PaQDv As environments scale, so do costs, governance risks, and operational blind spots — unless managed with structure and intelligence. Discover how Cloud Managed Services simplify operations, strengthen governance, and continuously optimize performance — so your cloud delivers measurable business outcomes. okt.to/6egHOz

Media & Entertainment in 2026 is entering its Agentic era. okt.to/KiQNRq The old playbook is losing its edge: churn pressure, trust risk, and operational drag, all at once. In 2026, the winners won’t just use AI. They’ll run agentic, AI-native operations that sense, decide, and act across: ✅ Content operations ✅ Trust and Safety ✅ Audience engagement This is what the Agentic Media & Entertainment Enterprise looks like.

The telecom sector is evolving beyond mere reactive measures. Sutherland’s Outlook 2026 (okt.to/PqfTLV) illustrates how Agentic AI empowers proactive solutions, enhances predictive network management, and enables autonomous service delivery, minimizing disruptions and fostering dependable connectivity. What are your thoughts on the impact of these changes on our daily lives? #AgenticAI #DigitalTransformation #Outlook2026

Cloud cost overruns rarely show up as a single big failure. They bleed quietly — minute by minute. okt.to/T7Wpsb By the time monthly reports surface the issue, the damage is already done and IT is left explaining spend instead of controlling it. Leading enterprises are moving beyond reactive FinOps dashboards to predictive cost intelligence — where AI anticipates spikes, corrects inefficiencies automatically, and aligns cloud spend to real business demand. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝗵𝗼𝘄 𝗜𝗧 𝗹𝗲𝗮𝗱𝗲𝗿𝘀: • Prevent waste instead of reporting it • Protect margins without slowing innovation • Turn cloud operations into a financial control plane Cost optimization isn’t a finance exercise anymore. It’s an operations capability. Download the whitepaper to see how AI-driven FinOps works in practice

A leading U.S. financial institution faced persistent loan processing errors and heavy manual intervention. Seeking more than a temporary fix, they partnered with Sutherland to drive lasting transformation. okt.to/j9AoJX Using our proprietary I.C.E. platform and an automation-first approach, we delivered a streamlined, intelligent operation with measurable results: ‣ 50% faster loan processing ‣ 90% success rate in transaction execution ‣ $150,000+ in annual cost savings ‣ 100% digital workflow adoption ‣ Seamless error and exception handling The result: a legacy process transformed into a high-performing, future-ready digital ecosystem. #SutherlandMortgage

AI insight is no longer a differentiator in retail. okt.to/TjR2rk Execution is. In 2026, leading retail and CPG enterprises are moving beyond dashboards toward agentic execution — systems that sense disruption, decide within defined guardrails, and act in real time. From inventory orchestration to adaptive pricing and autonomous engagement, the competitive advantage will belong to those who redesign how decisions are executed, not just analyzed. Watch to discover what defines the Agentic Retail Enterprise. Download the executive outlook → #Retail #AgenticAI #CPG #Outlook2026

𝗜𝘀 𝗔𝗴𝗶𝗹𝗲 𝗳𝗮𝘀𝘁 𝗲𝗻𝗼𝘂𝗴𝗵 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗜 𝗲𝗿𝗮? 🏃‍♂️okt.to/ilKXth Agile and DevOps solved the problems of the last decade. They broke down silos and introduced automation. But as Krishna Markande (VP, Chief Architect, DES) points out, the industry has hit a new plateau. The bottleneck? The "Human in the Loop." Enterprises are asking: "How can I release products even faster?" The answer lies in moving beyond standard DevOps tools toward autonomous, agentic workflows that accelerate the lifecycle despite complexity. Watch Krishna discuss the next frontier of delivery speed. Unlock the Agentic Breakthrough in our webinar.

Cloud overspend isn’t caused by scale. It’s caused by outdated FinOps models. Modern FinOps delivers real-time visibility, AI-driven forecasting, continuous optimization, and governance embedded into operations — not layered on after. That’s how enterprises control cloud growth without slowing innovation. Book a FinOps Assessment to evaluate where you stand: okt.to/zdaVZo

Agentic AI isn’t a technology upgrade. It’s an operating model decision. okt.to/Z7jBzR Most insurers are experimenting with agents to automate tasks. But if an agent can complete a step and not own an outcome, it’s not agentic. It is automation in a new wrapper. The shift requires something deeper: embedding human context into digital labor. That means: • Designing agents around real operational roles, not isolated tasks • Defining authority, guardrails, and escalation paths • Grounding decisions in live policy, compliance, and data signals • Measuring digital agents like workforce members in terms of cycle time, quality, exceptions, and outcomes Sutherland’s Insurance AI Hub brings this to life with role-based agents working as a coordinated virtual team across underwriting, claims, and service. Underneath it all is a governed tech stack that ensures accountability, observability, and production-grade trust, avoiding fragmented and loosely connected agentic deployments that stall at proof of concept. The insurers that win will not automate more. They will redesign their operating model with digital labor at the core. That is the real agentic shift. #SutherlandInsurance #HFSResearch

Two days. Hundreds of conversations. We are just warming up. okt.to/FJynXT At 𝗕𝗼𝗼𝘁𝗵 𝟱𝗞𝟭𝟯, 𝗛𝗮𝗹𝗹 𝟱, our team of telco experts had the privilege of engaging with communications leaders from across the globe, exploring how AI-first networks and agentic operations are reshaping what's possible for CSPs. The conversations reinforced something we already believed — the era of the Autonomous Telco is no longer a vision; it's a mandate. Still two days left in Barcelona. The best conversations are still ahead. #MWC26 #AutonomousNetworks #AgenticAI

The telecom industry is moving beyond automation towards AI-first, intent-driven autonomy. okt.to/Rvu63s Discover how Sutherland helps Communication Service Providers (CSPs) accelerate autonomy across networks, operations, and customer experience to deliver measurable business outcomes. Read the blog and join us at MWC Barcelona 2026 (Booth 5K13, Hall 5) to learn more. #MWC2026 #AutonomousTelco #AIinTelecom

Your P&C contact center isn’t the problem. It’s where your next wave of growth is hiding. okt.to/xOtuIN While most carriers keep optimizing for cost, the real upside is hiding in plain sight inside sales conversations, service calls, and renewal moments. The leaders pulling ahead aren’t adding more headcount or more tech. They’re redesigning sales and service into one AI-powered revenue engine where agentic AI supports licensed experts to convert better, retain longer, and serve smarter. Not cost reduction alone. Growth engineered. #SutherlandInsurance okt.to/HQYAs7

Alert volume is growing. Signal quality is collapsing. Most IT teams aren’t overwhelmed by incidents — they’re overwhelmed by noise masquerading as insight. okt.to/wSYdLs When 60%+ of alerts lead nowhere, teams slow down, real risks surface late, and MTTR quietly becomes a business problem. 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 𝗮𝗿𝗲 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹: • Correlating signals instead of reacting to alerts • Predicting failures instead of chasing tickets • Automating recovery instead of escalating work This is the 𝘀𝗵𝗶𝗳𝘁 𝗳𝗿𝗼𝗺 𝗿𝗲𝗮𝗰𝘁𝗶𝘃𝗲 𝗜𝗧 𝘁𝗼 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 that reduce noise, accelerate resolution, and free teams to focus on outcomes — not inboxes. Download the whitepaper to see how predictive, self-healing IT Ops works in practice

Cloud cost overruns aren’t caused by cloud adoption. They’re caused by outdated financial governance. okt.to/QVYkAN As cloud and AI workloads scale: • Visibility fragments • Costs become unpredictable • Finance reacts too late 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁? $𝟮𝟭𝗕 𝗶𝗻 𝘂𝗻𝗿𝗲𝗮𝗹𝗶𝘇𝗲𝗱 𝘀𝗮𝘃𝗶𝗻𝗴𝘀 𝗲𝘃𝗲𝗿𝘆 𝘆𝗲𝗮𝗿. AI-powered Cloud FinOps changes the model—from reactive reporting to predictive, automated financial control, delivering ~30% savings in 90 days without slowing innovation. FinOps today isn’t about cutting costs. It’s about governing cloud spend with the same discipline as revenue and risk. Explore how AI-powered Cloud FinOps turns cloud spend into a strategic advantage.

Banking operations don’t fail loudly, they leak value quietly. okt.to/4mtKWa Manual workflows and reactive collections quietly erode margins, credit quality, and customer trust. Leading banks are shifting from reactive workflows to AI powered Digital Operations to lower cost-to-serve, improve customer satisfaction and scale smarter. When execution becomes predictive, performance compounds. See how operations can evolve from cost center to growth engine. #SutherlandBFS