Showing 237 results
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FEATUREDViewpoint
Systems of Execution (SoE) in Cloud and Infrastructure: Self-optimizing Cloud Operations
June 17, 2025Enterprises have made cloud the operating backbone for AI, platform modernization, and continuous delivery, but governance practices remain reactive. Fragmented ownership, inconsistent tagging, and siloed tooling force finance and engineering teams to chase overspend long after budgets are breached, with 63% of organizations citing staying within forecasted cloud budgets as their top challenge. Systems of Execution (SoE) close this gap by fusing FinOps transparency with AIOps automation in an autonomous control plane. SoE continuously ingest cost, usage, and performance telemetry, apply AI decision logic, and enforce policy-aligned actions, such as resizing or pausing workloads, without human latency. By adopting SoE, organizations can transform cloud from a cost center into a self-optimizing performance engine that enforces budgets in real time, reduces variance, boosts resilience, and accelerates innovation cycles. The report charts a three-phase journey from reactive visibility to fully autonomous operations, detailing the data architecture, policy automation, AI decisioning, and governance pillars required at each step. It benchmarks ecosystem readiness, highlights emerging provider capabilities, and distils imperatives for enterprises, hyperscalers, and service partners, which include treating execution as a differentiator, embedding financial guardrails at run time, and redesigning services around continuous orchestration. Scope This report analyzes the cloud-governance gap, presents an SoE-led framework for autonomous financial and operational control, details a phased implementation roadmap, and offers guidance on selecting technology and service partners to enable self-optimizing cloud operations at scale. Contents All industries and geographies
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June 12, 2025As healthcare continues its transition to value-based, patient and member-centric care models, CIOs are increasingly under pressure to deliver seamless, proactive, and personalized experiences across the care continuum. Traditional Customer Relationship Management (CRM) platforms digitize communications but fall short in orchestrating real-time, intelligent engagement. The result is often fragmented experiences, high patient churn, inefficient workflows, and unmet member expectations. To address these limitations, healthcare enterprises are turning to Systems of Execution (SoE) – intelligent platform layers that go beyond passive data repositories to drive real-time decisioning and workflow automation across clinical and administrative functions. SoE represent the next evolution of CRM, which makes it capable of orchestrating adaptive, AI-driven engagement journeys that respond dynamically to clinical risk signals, social determinants of health, and benefit changes. In this Viewpoint, we explore SoE’s transformative potential across healthcare CRM by highlighting real-world use cases that improve care coordination, automate workflows, and elevate patient and member engagement.. Scope Industry: healthcare Geography: global Contents In this report, we explore: SoE’s role in transforming patient and member engagement across healthcare organizations A detailed roadmap for healthcare CIOs to implement SoE effectively, including foundational enablers such as unified data fabrics, AI-powered decision engines, and adaptive workflows A three-stage SoE maturity model with illustrative use cases and implementation best practices for each stage Strategic guidance to align CRM modernization with value-based care goals to improve engagement, care coordination, and operational efficiency
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June 12, 2025Software product management is evolving rapidly as organizations push for faster innovation, sharper customer focus, and measurable business outcomes. Product managers are no longer just roadmap custodians; they now orchestrate complex workflows, integrate fragmented toolchains, and lead in navigating rising delivery expectations. Their role now demands doing more with less, across an increasingly interconnected and high-pressure environment. Systems of Execution (SoE) represent a new operating paradigm that combines AI, automation, and orchestration to streamline execution across the product lifecycle. By linking insights to decisions and decisions to actions, SoE empower product teams to act with real-time intelligence and remain closely aligned with strategic goals. In this Viewpoint, we examine product managers’ evolving responsibilities, the systemic challenges constraining modern product organizations, SoE’s transformative potential, and how leading enterprises are adopting SoE to improve delivery speed, cross-functional alignment, and business impact. Scope Industry: all Geography: global Contents In this viewpoint, we examine: The product management industry’s evolution and its key challenges SoE as a paradigm that unifies AI, automation, and orchestration for smarter execution How product organizations can implement SoE to streamline workflows, enhance speed, and stay aligned with business goals
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Viewpoint
Systems of Execution in Marketing: Orchestrating Brand, Experience, and Conversion in Real-time
June 11, 2025As marketing becomes more digital, dynamic, and data-intensive, enterprises face growing pressure to deliver personalized, real-time experiences that drive measurable results. Traditional systems of record and engagement merely store data or manage interactions, but they do not convert insights into action. Despite access to rich customer insights, marketing teams remain burdened by disconnected tools, manual processes, and delayed execution. Systems of Execution address this gap by processing behavioral signals, applying AI-driven decision-making, and autonomously orchestrating actions across the marketing value chain. This report explores how Systems of Execution transform fragmented MarTech environments into unified, AI-powered ecosystems that act, automating personalization, journey orchestration, and campaign optimization across touchpoints. Designed for CMOs and CIOs, the report highlights how Systems of Execution enables adaptive engagement, accelerates decision-making, and improves key outcomes, from customer lifetime value to marketing RoI. Scope All industries and geographies Contents In this report, we examine: What Systems of Execution means for marketing Pre- Systems of Execution and post- Systems of Execution tech stack Functional transformation through Systems of Execution in marketing The Systems of Execution implementation roadmap in marketing Strategic Systems of Execution considerations for CMOs and CIOs
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June 10, 2025The age of Systems of Execution (SoE) is upon us, where intelligent, autonomous platforms do not just inform decisions but act on them in real time. This shift is rendering traditional systems and static consulting models obsolete. Enterprises now demand real-time orchestration, dynamic workflows, and embedded intelligence across functions. As this transformation accelerates, consulting firms are being called to move beyond strategy and become orchestrators of scalable, AI-powered solutions. This Everest Group Viewpoint unpacks how SoE is reshaping enterprise operating models and catalyzing a once-in-a-generation transformation in the consulting industry. It explores emerging client demands such as dynamic decision execution, autonomous workflows, and AI-first operating models. It also highlights service lines where these expectations are most prominent, ranging from risk and governance to talent consulting, and outlines the investments firms must make to stay competitive. The report provides a strategic lens into how consulting providers can lead in the SoE economy, and what it takes to drive sustainable enterprise transformation in this new era. Scope All industries and geographies Contents In this report, we examine: Examine how SoE are reshaping enterprise operating models and overcoming legacy systems’ limitations Analyze shifting client expectations and the evolving role of consulting firms in the age of autonomous execution Identify key SoE-aligned service areas and capabilities – spanning operations, technology, risk, and talent Offer strategic guidance for consulting providers to position, invest, and lead in the SoE economy
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June 09, 2025As enterprises strive for greater adaptability, autonomous execution, and continuous optimization, they are reimagining application development. Traditional approaches – focused on static requirements, linear workflows, and manual oversight – can no longer keep pace with real-time business demands. Development teams must now build systems that not only deliver features but also respond intelligently to change, act independently, and learn from every outcome. Systems of Execution (SoE) offer a new blueprint for application design – one that integrates AI, automation, event-driven architecture, and adaptive workflows to create intelligent, self-optimizing applications. By enabling real-time sensing, autonomous decision-making, and dynamic orchestration, SoE-ready applications fundamentally redefine enterprise responsiveness and resilience. This Viewpoint examines application development’s evolution in the context of SoE. It explores the architectural principles behind SoE-ready systems, the foundational investments enterprises must make, and real-world case studies demonstrating how leading organizations are unlocking value through agentic, context-aware applications. Scope Industry: agnostic Geography: global Contents In this viewpoint, we examine: SoE-ready application development The required technology investments A pragmatic roadmap for enterprise leaders to execute an SoE strategy How SoE enable future-proof, resilient, and intelligent enterprises
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June 09, 2025Enterprises today face an urgent challenge in their fraud and abuse prevention strategies. While adversaries innovate with automation, synthetic identities, and cross-platform manipulation, most organizations remain reliant on siloed, reactive fraud systems. Traditional systems of record and systems of engagement cannot respond to real-time threats or enforce dynamic policies, leaving organizations exposed to costly delays, false positives, and operational inefficiencies. This report introduces Systems of Execution (SoE) as the next essential step in Trust and Safety (T&S). SoE solutions unify behavioral signals, AI decision engines, and orchestration layers to create an intelligent, self-learning defense model capable of sub-second action. They transform T&S into a proactive function, enabling real-time fraud detection and autonomous enforcement across the customer life cycle. The Viewpoint explores SoE’s real-world applications, CIO-ready KPIs, implementation framework, and a readiness checklist to help enterprises navigate architectural, talent, and ecosystem gaps and accelerate adoption. Scope All industries and geographies Service: T&S and fraud and abuse prevention Contents In this report, we examine: SoE in T&S SoE versus traditional fraud systems SoE’s real-world industry applications and benefits Strategic and operational KPIs for CIOs SoE future state and readiness Implementation framework for SoE in fraud prevention Memberships Trust and Safety Sourcing and Vendor Management
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June 06, 2025Procurement leaders today face multifaceted challenges marked by macroeconomic uncertainties, geopolitical turmoil, evolving regulations, cost pressures, and supply chain volatility. Amid these challenges, they are expected to optimize savings, manage supplier risks, ensure compliance, and meet sustainability goals – all while constrained by fragmented, reactive legacy systems. These legacy procurement systems fall short, often leading to reactive decisions, poor visibility, compliance lapses, and operational inefficiencies. This Viewpoint introduces Systems of Execution (SoE) as the next evolution for procurement: an intelligent, autonomous decision-execution framework orchestrating AI agents and operating seamlessly across the Source-to-Pay (S2P) value chain. By overlaying and embedding SoE capabilities into existing systems, procurement organizations can shift from static, reactive processes to dynamic, proactive workflows, enabling an intelligent, autonomous, agile, and execution-oriented procurement ecosystem. Scope All industries and geographies Contents In this report, we explore: SoE-led procurement transformation Functional transformation across the S2P value chain An implementation roadmap for procurement Strategic considerations for chief procurement officers
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Provider Compendium
Intelligent Process Automation (IPA) Solutions – Provider Compendium 2025
May 29, 2025Businesses must adapt to the evolving digital landscape to remain competitive and resilient. As manual operations continue to present scalability and accuracy challenges, organizations are increasingly shifting toward digital, automated, and intelligent processes. Intelligent Automation (IA) has become foundational in enabling enterprises to boost productivity and efficiency, especially amid cost optimization pressures in uncertain economic conditions.. Intelligent Process Automation (IPA) is among the most effective digital transformation drivers. Recognizing growing enterprise demand, solution providers are rapidly evolving their offerings to embed advanced technologies such as agentic AI, generative AI, and orchestration frameworks into their IPA portfolios.. Everest Group defines IPA as the application of IA in business processes through a combination of technologies, including RPA and cognitive/AI-based automation. This report presents detailed profiles of 24 leading IPA solution providers and evaluates their offerings and capabilities. It enables IPA buyers to identify the best-fit providers based on their specific automation goals. Additionally, it will enable solution providers to assess how their capabilities and offerings stack up against those of their competitors. Scope IPA solutions: includes the sourcing of IPA technology products bundled with consulting, implementation, and maintenance services. It does not include traditional BPO services IPA services only: includes consulting, implementation, and maintenance of IPA solutions The report excludes IPA technology products licensed independently or embedded within broader BPO deals Coverage: all industries and geographies Contents This report provides a detailed view of 24 IPA solution providers’ capabilities. Each profile includes the company’s: Overview and recent deals and announcements IPA revenue and FTE mix Solutions portfolio
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May 26, 2025Scientific research is under increasing pressure to deliver fast, reliable, and scalable breakthroughs. Traditional laboratory environments, built on manual workflows and reactive data use, fall short in meeting these expectations. Autonomous laboratories represent a paradigm shift – moving from static Systems of Record and passive Systems of Engagement to active, decision-driven Systems of Execution. These next-generation labs integrate AI, robotics, and real-time data orchestration to execute experiments autonomously and adaptively. This Viewpoint outlines how Systems of Execution can unlock the full potential of autonomous laboratories. It defines a four-pillar framework centered on AI orchestration, process automation, data architecture, and talent transformation. Each pillar is illustrated through practical examples from pioneering institutions such as the Massachusetts Institute of Technology, the University of Toronto, and the Helmholtz Institute. These case studies demonstrate tangible gains, including accelerated chemical synthesis, higher-entropy alloy discovery, and enhanced enzyme engineering. The report also provides guidance on addressing barriers to adoption, such as system interoperability, governance readiness, and the upskilling of scientific talent. By embracing Systems of Execution, research institutions can reduce cycle times, improve reproducibility, and lead the transition to more intelligent and responsive laboratory ecosystems. Scope Industry: all industries (with relevance to scientific R&D in materials science, chemistry, biology, and life sciences) Geography: global Sources: This assessment is based on Everest Group’s ongoing research on Systems of Execution, interviews with domain experts, and secondary literature including peer-reviewed journals (nature, nature chemical engineering) and expert commentary from industry blogs (VSParticle, Nanowerk, Berkeley Lab) Contents In this report, we examine: The limitations of current laboratory systems based on SoR and Systems of Engagement The role of Systems of Execution in enabling autonomous experimentation/li> A strategic framework with four key pillars: AI orchestration, automation, data integration, and talent transformation Case studies from global leaders implementing autonomous labs across academic and industrial contexts Key recommendations to overcome implementation challenges and drive sustainable value
