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  • NEW
    PEAK Matrix®

    Nov. 08, 2025
    Amid rising costs, limited resources, and growing process complexities, enterprises are under pressure to drive greater efficiency while advancing their digital transformation agendas. Traditional siloed automation approaches no longer meet the need for scale, adaptability, and intelligence. As a result, the demand for integrated, future-ready automation platforms has intensified, shifting enterprise focus from point solutions to comprehensive ecosystems. To meet this need, technology providers are converging AI-based automation and rules-based automation into Intelligent Process Automation Platforms (IPAPs). Full Suite IPAPs go a step further by extending IPAPs with process orchestration and intelligence to manage complex end-to-end workflows. These solutions empower businesses to automate both routine and cognitive tasks at scale, enhance decision-making, and align automation efforts with enterprise strategies. This report assesses 26 leading IPAP providers and 15 Full Suite IPAP providers to guide enterprise buyers in selecting the right partners and help providers benchmark their positioning in a highly competitive market.
  • Viewpoint

    Oct. 24, 2025
    Enterprises are rapidly exploring agentic AI to create more autonomous, context-aware workflows. While initial efforts have focused on single-agent systems, these often fall short in adaptability, reliability, and scale. Multi-agent systems represent the next frontier, enabling specialized agents to collaborate dynamically across tasks and environments. But unlocking their full potential requires orchestration: the capability to coordinate diverse agents around shared objectives, execution patterns, and governance frameworks. This report provides a strategic overview of why orchestration is essential and how enterprises can architect intelligent, scalable agentic systems. Key focus areas include the layered architecture of multi-agent systems, orchestration strategies based on execution and control models, and the core building blocks – from perception handling and task decomposition to agent discovery and reasoning. It also explores emerging communication protocols such as MCP, A2A, and ACP that enable secure and scalable agent collaboration. Importantly, the report outlines policy enforcement, feedback loop, and governance mechanisms – ensuring enterprise-grade trust and resilience. Readers will gain a roadmap to deploy agentic intelligence that is both adaptable and aligned with business goals.
  • Thematic Report

    Sep. 30, 2025
    Agentic process automation represents a shift from deterministic, rule-based workflows to dynamic, context-aware systems powered by AI agents capable of making autonomous decisions. This report examines the foundational concepts and technologies behind agentic automation, including large language and action models, levels of agency, memory architecture, orchestration layers, and observability. It highlights the opportunities and challenges enterprises face as they embed agentic AI into business processes, with guidance on strategy, design, implementation, and organizational change. The report provides frameworks for enterprise readiness assessment, cost-benefit analysis, and use-case prioritization, as well as practical tools to select foundation models and platforms and identify agent suitability. It also explores supporting enablers such as talent strategy, CoE evolution, tool selection, governance, and risk management, along with best practices tailored to the unique demands of agentic automation. Through real-world examples and a structured adoption roadmap, it offers enterprises a clear path to building resilient, scalable, and future-ready automation capabilities. This report is designed for enterprise executives, automation leaders, digital transformation stakeholders, and technology providers seeking to understand and operationalize the potential of agentic automation.
  • Tech Launch Perspective

    Sep. 25, 2025
    Zoho’s July 2025 product announcements signal a decisive move toward becoming an AI-first enterprise platform, with a particular focus on agentic AI. This report evaluates how Zoho’s ecosystem, including Zia Agents, Zia Agent Studio, and Zia LLM, addresses key enterprise priorities such as workflow orchestration, data governance, low-code adoption, and personalized engagement. The analysis highlights Zoho’s strong alignment with internal interoperability and privacy-first infrastructure, making it relevant for organizations pursuing embedded automation across business functions. While Zoho delivers a tightly integrated experience within its platform, broader enterprise adoption may be limited by ecosystem depth, scalability challenges, and early-stage multilingual capabilities. Everest Group’s analysis underscores Zoho’s differentiation in end-to-end AI infrastructure while also flagging potential areas for improvement. Enterprises evaluating AI-native platforms will benefit from this review’s insights into usability, extensibility, and real-world readiness of Zoho’s agentic AI offerings.
  • Viewpoint

    Sep. 25, 2025
    Enterprises are reaching traditional automation tools’ limits, which struggle with complexity, variability, and real-time decision-making. Agentic Process Automation (APA) presents a new operational paradigm. One that replaces rigid, step-based execution with adaptive, autonomous workflows. APA integrates AI agents, data layers, process intelligence, analytics, and intelligent automation technologies to coordinate tasks, interpret context, and execute decisions with minimal human intervention. This Viewpoint analyzes APA adoption drivers, the shift from rule-based automation to autonomy, and the significant performance benefits realized when APA is strategically deployed. The report provides a roadmap for enterprises to evaluate readiness, prioritize high-impact use cases, and scale APA responsibly. It offers key frameworks for governance and observability and outlines how APA can enable long-term transformation. As enterprise adoption accelerates, leaders who act now will shape how quickly their organizations gain resilience and competitive advantage.
  • Tech Launch Perspective

    Aug. 13, 2025
    AWS is establishing a strong agentic AI foundation with new capabilities designed to help enterprises build, deploy, and manage AI agents. This report examines how AWS’ announcements at AWS Summit New York 2025 align with enterprise priorities around agent lifecycle enablement, multi-agent coordination, and robust governance. AWS is establishing a foundational platform for agentic AI with a modular, secure, and scalable stack. It is making strides to strengthen its position as a horizontal platform player with end-to-end agent lifecycle support. However, the market is in the early stages, and challenges remain around end-to-end agentic orchestration, RoI clarity, and scalable deployment. This report offers Everest Group’s assessment of AWS’ agentic AI product updates announced at AWS Summit New York 2025. Key additions include modular and secure deployment through AgentCore, AI agents and tools in AWS Marketplace, an agentic IDE called Kiro, Nova Act model, and native vector storage through S3 Vectors. However, limitations remain in multi-agent orchestration across platforms, enterprise-led data enablement, and RoI clarity. This report will help enterprises assess whether AWS’ agentic AI approach meets their specific needs and maturity levels.
  • Viewpoint

    Aug. 12, 2025
    Sales is a core growth engine for enterprises, driving revenue generation, customer acquisition, and market expansion. Yet, delivering consistent sales performance is becoming increasingly difficult amid growing deal complexities, evolving buyer expectations, and constrained resources. Sales teams face mounting pressures to hit ambitious targets while navigating fragmented processes and disconnected tools. Traditional automation has optimized specific tasks but falls short in delivering the intelligence, adaptability, and coordination needed for seamless, end-to-end execution. This is where agentic AI comes in, introducing a powerful shift through autonomous, goal-driven agents capable of making contextual decisions, adapting in real time, and orchestrating complex workflows across the sales life cycle. By enabling intelligent execution, agentic AI empowers sales teams to focus on what matters most: building relationships, shaping strategies, and closing deals. This report presents agentic AI as a next-generation solution to long-standing sales bottlenecks. We assess its maturity across the sales value chain and explore its transformative impact in high-value use cases such as lead generation and qualification, proposal development, and pipeline forecasting. In addition to evaluating improvements in KPIs such as sales cycle time, win rates, and cost per acquisition, the study outlines key adoption considerations, governance priorities, and workforce implications. We have also included a case study that highlights the tangible business value of agentic AI through RFP response automation.
  • Tech Launch Perspective

    Aug. 04, 2025
    Salesforce is doubling down on agentic AI with new capabilities to help enterprises operationalize AI agents at scale. This report explores how Salesforce’s Agentforce 3 and related offerings align with enterprise priorities around workflow automation, trust, governance, and data retrieval. Salesforce has made notable strides in enabling multi-agent orchestration, RAG pipelines, and native interoperability, positioning itself as a leader in enterprise-grade AI orchestration. However, the market is in the early stages, and challenges remain around observability, deployment at scale, and system complexity. This report offers Everest Group’s assessment of Salesforce’s agentic AI product updates, highlighting what works and what needs more clarity. Key innovations include agent marketplaces, open protocol support, Model Context Protocol (MCP), and Agent-to-Agent (A2A), and hosted models within trust boundaries, which are important for regulated industries. However, gaps persist in pricing transparency, scalability in multi-region deployments, and detailed security features. This report will help enterprises assess whether Salesforce’s agentic AI approach meets their specific needs and maturity levels.
  • State of the Market

    July 21, 2025
    Automation is no longer just about driving efficiency; it now encompasses autonomy, adaptability, and intelligent decision-making. As organizations accelerate their shift toward digital-first business models, Intelligent Process Automation (IPA) has become a key operational transformation driver. By automating repetitive tasks and enabling faster, more dependable workflows, IPA enhances productivity and allows human talent to focus on more strategic, value-added activities. What started as basic task automation has evolved into a robust enterprise agility enabler, integrating across business functions, scaling seamlessly, and aligning closely with strategic priorities. Enterprises across industries are increasingly adopting IPA to improve customer experiences, streamline operations, and reduce costs. With generative and agentic AI integration, automation is advancing. These technologies introduce contextual understanding, adaptive learning, and autonomous decision-making, allowing IPA to transition from process execution to intelligent orchestration. This report explores the evolving IPA landscape, providing insights into market trends, the provider landscape, solution and service characteristics, and the road ahead for IPA in 2025-26.
  • Thematic Report

    July 14, 2025
    Agentic AI is an evolved form of artificial intelligence that enables autonomous agents to set goals, make decisions, and take adaptive actions independently. These agents can decompose complex workflows into manageable subtasks, align their actions with defined objectives, and execute processes with minimal human oversight. By combining real-time reasoning, contextual memory, and the ability to interact with diverse enterprise systems, agentic AI allows for truly end-to-end, goal-driven automation. This new paradigm surpasses the capabilities of traditional intelligent automation and generative AI by enabling autonomous, context-aware systems that have the potential to make processes more time-efficient and less dependent on humans. As a result, agentic AI is rapidly gaining traction across industries and business functions. In this report, we examine the global agentic AI market, including the evolution of agentic automation, market characteristics, and the adoption landscape segmented by geography, industry, buyer size, and business process. We evaluate key solution characteristics such as training and support, partner ecosystems, deployment models, and commercial models. Additionally, we analyze the competitive landscape along with exploring emerging technology trends shaping the agentic ecosystem, such as large action models, model context protocol, agent-to-agent communication, and neuro-symbolic programming.