Organizations are rapidly embracing agentic AI to enhance operational efficiency, lower costs, and respond more effectively to evolving business challenges. It started with basic tools, such as RPA, that handled simple, repetitive tasks. Over time, it became more advanced systems using AI technologies, such as ML and Natural Language Processing (NLP), to manage more complex work. The next key update in this journey is agentic AI, which embeds autonomy, adaptability, and decision-making into systems. These capabilities enable systems to act independently, respond to dynamic conditions in real time, and significantly reduce the need for human oversight, thereby streamlining operations, accelerating decision-making, and offering a competitive edge in a rapidly changing market. In this report, we evaluate 24 agentic AI technology providers offering prebuilt agents and agent builders. The report classifies them as Luminaries, Fast Followers, Influencers, or Seekers based on the Everest Group’s Innovation Watch Assessment. It explores agentic AI use case prioritization by evaluating industries and business functions that stand to benefit most from its adoption. The research also delves into agentic AI’s impact on addressing key business challenges, driving automation, improving decision-making, and enhancing operational efficiency. Scope All industries and geographies This report is based on Everest Group’s interactions with leading agentic AI technology providers and the agentic AI technology’s ongoing analysis Contents In this report, we Position 24 agentic AI technology providers on the Everest Group’s Innovation Watch Assessment framework Assess the providers’ agentic AI products Examine key business challenges and agentic AI’s role in addressing them Provide a framework to prioritize investments in agentic AI use cases

Enterprises are navigating a complex business environment, with a strong emphasis on resilience, agility, and cost optimization. Traditional automation has enhanced efficiency by streamlining processes and cutting costs. However, its limitations, such as its reliance on structured data and a lack of autonomy, are becoming increasingly apparent. In contrast, agentic AI, a form of AI that makes decisions and takes action, redefines automation boundaries by handling complex, context-sensitive workflows requiring autonomous decision-making. Agentic AI complements and augments existing technologies instead of replacing them, thus driving a new era of innovation – agentic automation. In this report, we examine the evolution of automation and explore how agentic automation is poised to revolutionize business operations by optimizing workflows, enhancing decision-making, and unlocking new opportunities for innovation and growth. The report analyzes agentic AI’s potential across industries and business functions, highlighting how agentic automation can help enterprises navigate challenges and remain competitive in the market. Scope All industries and business functions Contents In this report, we: Understand agentic AI Explore the evolution of automation and the emergence of agentic automation Analyze expected agentic automation’s impact on key industries and business functions Assess key agentic automation use cases with the potential to scale Evaluate agentic automation implications for enterprises Examine the future outlook Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

In today’s era of rapid digital disruptions, businesses are under significant pressure to enhance operational efficiencies, reduce costs, and deliver exceptional customer experiences. Increasing process complexities, the need for faster turnaround times, and the ever-evolving stakeholder expectations further amplify the demand for innovation. As organizations strive to remain competitive, they are transitioning from isolated digital tools to comprehensive solutions that unify capabilities across the automation spectrum. Intelligent Automation Platforms (IAPs) address these challenges by consolidating process mining, Robotic Process Automation (RPA), AI, and document processing into a unified ecosystem. These platforms enable seamless discovery, automation, and orchestration of end-to-end business processes. With advanced tools to detect inefficiencies, automate repetitive tasks, and integrate human and machine workflows, IAPs streamline operations, enhance decision-making, and drive superior outcomes. In this report, we provide accurate, comprehensive, and fact-based snapshots of 13 IAP providers’ offerings and capabilities. Each profile covers the provider’s recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features, functionalities, and key enhancements. The report enables providers to benchmark themselves against competitors and empowers IAP software buyers to assess providers based on their capabilities. Scope All industries and geographies Contents In this report, we evaluate 13 IAP providers and include: Company overview Recent deals and announcements Product overview Market adoption and client portfolio mix Product features, functionalities, and enhancements Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

The need to evolve into a digital-first business is becoming increasingly vital as manual operations lead to inefficiencies and limit scalability. Additionally, enterprises struggle with rising inflation, economic slowdowns, geopolitical tensions, and supply chain disruptions. To stay competitive, enterprises must make automation a strategic priority. Robotic Process Automation (RPA) is the cornerstone of enterprise automation, which is strengthened by Intelligent Document Processing (IDP), process mining, task mining, API-based automation, process orchestration, and conversational AI. RPA offers several enterprise benefits, including improved operational efficiency and productivity, increased cost savings, and enhanced customer and employee experiences. However, organizations must choose the right enterprise-grade RPA solution that aligns with their specific needs to harness RPA’s benefits. In this report, we provide accurate, comprehensive, and fact-based snapshots of 27 RPA technology providers’ offerings and capabilities. Each profile covers the provider’s recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features, functionalities, and key enhancements. The report enables providers to benchmark their capabilities against competitors and empowers RPA software buyers to assess the providers based on their capabilities. Scope All industries and geographies Contents In this report, we evaluate 27 RPA technology providers and include: Company overview Recent deals and announcements Product overview Market adoption and client portfolio mix Product features, functionalities, and enhancements Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Becoming a data-driven business is vital for improving stakeholder experiences and operational efficiencies. Manual techniques limit visibility into processes and tasks. Process mining analyzes structured data in processes, but user interactions with business applications go uncaptured. As most employees work on third-party applications, capturing user interaction data is essential for completely understanding end-to-end processes. Digital Interaction Intelligence (DII) addresses this gap by capturing and analyzing user interactions, offering insights into workflows, and enabling enterprises to unlock increased business value through more informed decisions and process optimizations. Everest Group’s DII Playbook comprehensively explains the DII solution’s key components and functionalities, including its applications, benefits, and use cases across industries and business functions. It highlights DII market characteristics, including its current market status and adoption across market segments. Additionally, the playbook offers valuable insights, methodologies, and practical guidance to enterprises at different stages of their process automation and transformation journeys to maximize their DII impact. Scope All industries and geographies Contents In this report, we: Evaluate the need for data-driven decision-making Analyze process mining limitations Examine DII, including its key components and product functionalities Assess DII applications, associated benefits, and use cases Understand DII market characteristics, including DII’s state of market and adoption Explore enterprises’ DII journeys Membership(s) Service Optimization Technologies Sourcing and Vendor Management

With repetitive manual tasks straining limited resources and escalating labor costs, businesses are pressured to do more with less. Additionally, the growing complexity of business processes and rising customer expectations for speed and accuracy highlight the need for holistic solutions with multiple capabilities. While businesses started their digital transformation journeys with a best-of-breed approach, the demand for best-in-class solutions has gained traction due to the rising need for integrated technologies and provider consolidation. To address this demand, technology providers are integrating technologies across rules-based automation, AI-based automation, process intelligence, and process orchestration on a single platform that meets businesses’ digital transformation requirements. With Intelligent Automation Platforms (IAP), technology providers aim to become a one-stop shop for all automation-related enterprise requirements. While IA technologies such as process mining and DII help in the discovery of processes and automation opportunities, RPA, IDP, and AI are essential to automate business operations. Process orchestration acts as the central control hub which ties in all the technologies and human workforce together, providing integrated workflow management and monitoring. Integrating IA technologies into a single platform ensures seamless information flow and streamlined workflows, enhancing efficiency and effectiveness. In this report, we analyze 13 IAP providers featured on Everest Group’s PEAK Matrix® framework based on their capabilities and offerings. The report will help buyers select the right technology provider for their needs and enable providers to benchmark themselves against their competition. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading IAP providers, client reference checks, and an ongoing analysis of the IAP market Contents In this report, we: Analyze 13 IAP providers Position the providers on Everest Group’s PEAK Matrix® framework as Leaders, Major Contenders, and Aspirants Assess IAP products and their applications Examine the IAP provider market Assess key IAP technology trends Compare providers’ key strengths and limitations Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Everest Group defines Digital Interaction Intelligence (DII) as an analytics product that offers a fact-based, technology-driven approach to understanding user interactions on various applications, particularly business applications. It captures user actions and metadata from multiple desktops to reconstruct and analyze processes available independent of professional services. The technology offers a data-based approach to process optimization through different applications and use cases spanning industries and process areas. In this report, we analyze the DII market, software providers, and third-party enablers (providers and system integrators). The report examines the market size, adoption trends, solution characteristics, product capabilities and trends, and the provider landscape. Scope All industries and geographies DII software products sold on license, irrespective of any ongoing business or IT process outsourcing or managed services Contents In this report, we examine: Process intelligence DII market overview Buyer insights DII solution characteristics DII product capabilities and trends DII provider landscape Market outlook for 2024-25 Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Digital Interaction Intelligence (DII) improves operational efficiency, enhances employee experience, boosts workforce productivity, and accelerates organizations’ digital transformation journeys. It is a fact-based, technology-driven approach to understanding user interactions, gaining traction in various industries across geographies. In response, DII technology providers are enhancing their product capabilities and functionalities. Enterprises must select the right-fit DII technology providers that suit their needs. This compendium provides accurate, comprehensive, and fact-based snapshots of 19 DII technology providers’ offerings and capabilities. Each provider profile includes the company overview, recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features and functionalities, key enhancements, and capabilities. The report will enable buyers to select the best-fit provider for their needs. Scope All industries and geographies DII software products sold on license, irrespective of any ongoing business or IT process outsourcing or managed services This report is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading DII technology providers, client reference checks, and an ongoing analysis of the DII market Contents In this report, we: Examine the company and product overview Analyze recent deals, partnerships, and announcements Evaluate market adoption and client portfolio mix Assess product features, functionalities, and key enhancements Measure providers’ capabilities across PEAK Matrix® dimensions Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management  

Organizations are turning to automation to redesign business processes and boost operational efficiency in the face of a global economic slowdown, geopolitical complexities, and ongoing talent shortages. Intelligent automation platforms now drive end-to-end process automation, incorporating new technologies – such as intelligent document processing, process mining, digital interaction intelligence, task mining, API-based automation, process orchestration, and conversational AI – to enhance efficiency and Robotic Process Automation (RPA) outcomes. Furthermore, generative AI revolutionizes automation by handling complex cognitive tasks and empowering citizen developers to build and deploy bots, integrating business users into the automation process. Enterprises benefit from RPA through better operational efficiency, improved customer and employee experiences, and strategic workforce engagement. Enterprises, GBS organizations, and providers across industries are investing heavily in RPA, making it a top-growing software market. In this report, we study 27 RPA technology providers and position them on Everest Group’s PEAK Matrix®, categorizing them as Leaders, Major Contenders, and Aspirants based on their capabilities and offerings. The research will help buyers select the right-fit technology providers for their needs, while technology providers will be able to benchmark themselves. Scope All industries and geographies Contents This PEAK Matrix® report examines: Everest Group’s PEAK Matrix® evaluation of RPA technology providers and their categorization into Leaders, Major Contenders, and Aspirants The RPA technology provider market’s competitive landscape Key RPA technology trends Each RPA technology provider’s key strengths and limitations Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Organizations are increasingly relying on automation to boost efficiency and gain a competitive edge. Once limited to simple and repetitive tasks, automation has evolved to handle complex operations. Generative AI has been a game changer in this journey, enabling machines to create and innovate in ways previously limited to human capabilities. The next significant leap in automation is the emergence of agentic AI, which promises to push the boundaries even further by integrating autonomy, adaptability, and decision-making. This advancement allows systems to operate with minimal human intervention, making real-time decisions based on dynamic circumstances, ultimately helping organizations streamline operations and maintain competitive advantage. This report assesses 18 agentic AI technology, positioning them on Everest Group’s Innovation Watch Assessment framework as Luminaries, Fast Followers, Influencers, and Seekers. Scope All industries and geographies This report is based on Everest Group’s interactions with leading agentic AI technology providers and agentic AI technology’s ongoing analysis Contents In this report, we: Position 18 agentic AI technology providers on Everest Group’s Innovation Watch Assessment framework Offer an overview of the providers’ agentic AI products Examine key business challenges and agentic AI’s role in addressing them Provide a framework to prioritize investments in agentic AI use cases Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management