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  • June 27, 2025
    As enterprise technology ecosystems grow increasingly complex and fragmented, legacy SIAM models are reaching their limits. The traditional SIAM function – often reactive, siloed, and under-tooled – has struggled to keep pace with the demands of multi-provider orchestration and evolving business needs. With 40% of enterprises planning significant changes to their provider mix, the need for a more intelligent, scalable, and execution-oriented SIAM model has become urgent. This report introduces Systems of Execution (SoE) as a next-generation paradigm to transform how SIAM is structured and delivered. SoE bring together automation, observability, and AI-powered agents to enable predictive service management, cross-provider coordination, and operational agility. It explores high-impact use cases, outlines a reference operating model, and provides an illustrative business case to showcase tangible benefits. The report also identifies common pitfalls, offers strategic imperatives for both enterprises and providers, and concludes with a CIO-ready checklist to guide SoE adoption and execution.
  • May 05, 2025
    Enterprise IT environments are becoming increasingly complex. Traditional IT operations (ITOps) models, which rely on manual processes and reactive workflows, are ineffective in addressing today’s operational demands. Systems of Execution (SoEs), powered by agentic AI, introduce a new operational paradigm rooted in autonomy and context-aware decision-making. These systems enable a shift from fragmented, ticket-based models to intelligent, self-healing ecosystems that enhance efficiency, reduce downtime, and scale operational resilience. In this report, we examine how SoEs are reshaping ITOps by embedding AI agents into service management workflows, highlighting the resulting operational and financial benefits. It focuses on how SoEs reduce technology run costs, enhance responsiveness, and drive continuous optimization. The report also outlines high-impact use cases, phased adoption roadmaps, strategic imperatives for enterprises and providers, and key pitfalls to avoid during SoEs’ adoption. Scope All industries and geographies Contents In this report, we examine: SoEs enabling ITOps workflows High-impact ITOps use cases Benefits of leveraging SoEs in ITOps Strategic imperatives for enterprises and providers Common pitfalls to avoid during SoEs’ adoption
  • Nov. 11, 2021
    Banking, Financial Services, and Insurance (BFSI) organizations are experiencing wide-ranging disruptions due to ever-increasing data security and compliance mandates, the exponential adoption of emerging technologies, and the evolution of FinTech-architected business models. IT organizations are responsible for not only running massive and complex operational machinery, but also leading the charge to transform the business across products, processes, and experiences. IT is also responsible for managing an organization’s resiliency and sustainability and protecting it from security and compliance failures. BFSI firms are re-inventing the IT operating model through a series of incremental changes that support near-term priorities, while creating a strong foundation via IT modernization and new platforms to deliver on long-term business goals. This re-imagined IT operating model requires digital engineering capabilities that can help BFSI firms build growth and differentiation capabilities at speed and scale. In this viewpoint, we share Everest Group’s perspectives on accelerating digital transformation in the global BFSI industry and present industry practitioner observations made during a recent virtual round-table session that Everest Group moderated. Scope Industry: BFSI Geography: global Contents In this viewpoint, we examine the following topics: Business and technology drivers for IT operating model evolution in the BFSI industry The principles of IT operating model evolution in the BFSI industry Measures to drive transformation at speed and scale to build a future-ready BFSI firm Membership(s) Banking Information Technology Sourcing and Vendor Management
  • May 31, 2017
    In today’s digital age, where “applications are the business,” establishing agile, resilient, and cost-effective IT operations has become critical for enterprises. The need for “business-aligned” IT operations has translated into mainstream adoption of flexible, enterprise-grade IT operations automation (ITOA) products to tackle next-generation IT infrastructure concepts such as cloud, converged infrastructure, and operational analytics. Enterprises realize that they need to adopt a well-defined automation strategy to actualize true business benefits and stay relevant in the “digital” world. In this research, we present the assessment and detailed profiles of eight Independent Software Vendors (ISVs) featured on the PEAK Matrix for IT operations automation products. Each profile gives a comprehensive picture of their IT operations automation products’ vision, product functionality, and process coverage. SCOPE OF THE ANALYSIS This research also provides fact-based trends impacting the IT operations automation market and provides an assessment of eight ISVs who are associated with IT operations automation products. The report covers the following ISVs: Arago, Automic, Ayehu, Cortex, Hewlett-Packard Enterprise (HPE), IPsoft, Softomotive, and Thoughtonomy. CONTENTS Each profile covers the following aspects for the featured ISV: General overview of the vendor’s IT operations automation products including company vision and strategy around IT operations automation Assessment of the vendor’s IT operations automation products with strengths and areas of improvements Assessment of the vendor’s IT operations automation process coverage and automation type in terms of the mix of use cases deployed, and overview of the capabilities and features of the vendor’s automation platform Everest Group has a complimentary five-page PEAK Matrix preview document for this service provider landscape report. Membership(s) Cloud and Infrastructure Services Service Optimization Technologies