Showing 11 results
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Oct. 29, 2025AI is evolving unprecedentedly, with generative and agentic AI emerging as transformative forces driving enterprise reinvention. While generative AI continues to deliver significant value through content creation, workflow automation, and decision intelligence, advances in agentic AI are elevating the impact further – enabling autonomous operations, adaptive learning, and real-time orchestration. Together, these innovations are accelerating AI adoption across industries, propelling organizations beyond pilots to enterprise-scale strategic transformation. As enterprises expand their AI initiatives, the focus is shifting toward achieving measurable business outcomes, developing modular and scalable AI architectures, and reinforcing governance frameworks. Organizations are increasingly emphasizing responsible AI principles, security, and compliance while ensuring agility and interoperability across platforms. Simultaneously, there is a clear movement toward value-based partnerships, with pricing and engagement models centered around outcomes and shared success. In this report, Everest Group comprehensively evaluates 27 AI and generative AI providers, benchmarking them on market impact, vision, and capabilities. It features detailed provider profiles that highlight service portfolios, proprietary IP, innovation investments, and case studies. The report also offers key insights into buyer priorities, sourcing trends, and actionable recommendations to help enterprises make informed decisions in a rapidly evolving AI services ecosystem.
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Viewpoint
The Rise of Agentic AI
Oct. 14, 2025Agentic AI marks the next major evolution in enterprise AI, shifting from assistive, prompt-driven systems to autonomous, goal-oriented agents capable of delivering measurable business outcomes with minimal human intervention. Unlike traditional automation, which is often rule-bound and siloed, agentic AI combines contextual awareness, adaptive reasoning, and real-time decision-making to operate across complex enterprise environments. This report examines the rise of agentic AI and its potential to fundamentally rearchitect enterprise execution. It explores how industries such as BSFI, HLS, manufacturing, and RCPG are applying agentic AI to enhance agility, scalability, and resilience. It also delves into the rapidly evolving technology provider ecosystem, mapping out the major provider categories and their strengths, as well as the strategic considerations to select the right partner. With adoption still in its early stages, the report addresses the organizational, technical, governance, and operational challenges that enterprises must overcome to scale agentic AI effectively – from RoI clarity and workforce readiness to data integration and regulatory compliance. It also offers a strategic framework to align agentic capabilities with business priorities, orchestrate multi-agent workflows, and ensure secure, ethical, and compliant deployment. As enterprises move toward the agentic era, success will hinge on building new human-agent collaboration models, redefining roles, and shifting RoI focus from efficiency gains to adaptability and resilience. This report provides a roadmap to navigate this transition and unlock sustained competitive advantage.
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Thematic Report
A Practitioner’s Guide to Agentic Automation
Sep. 30, 2025Agentic 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.
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Tech Launch Perspective
Agentic AI - Review of Zoho's Product Announcements
Sep. 25, 2025Zoho’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.
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Tech Launch Perspective
Data and Analytics (D&A) and AI – Review of Informatica’s Product Announcements at Informatica World 2025
Aug. 12, 2025At Informatica World 2025, Informatica highlighted its increasing focus on AI-native orchestration through the introduction of AI Agent Engineering. This no-code, metadata-aware service enables enterprises to build, scale, and govern complex multi-agent workflows across their data estates. Central to this evolution is an enhanced Master Data Management (MDM) foundation, now augmented with CLAIRE GPT. This upgrade brings natural language-based metadata exploration and glossary generation to data accessibility’s forefront. These advances anchor Informatica’s broader Intelligent Data Management Cloud (IDMC) strategy. This strategy also features the expanded CLAIRE® AI suite, including CLAIRE copilots for guided data and application integration and the CLAIRE Agents Suite for autonomous management of ingestion, lineage, and quality. Collectively, these updates mark a decisive step toward metadata-driven, AI-enabled enterprise data transformation. The announcements demonstrated Informatica’s intent to unify governance, integration, and engineering across multi-cloud environments by leveraging AI agents that support ingestion, lineage, quality, and exploration. Informatica also introduced integrations with AWS Bedrock, Google Vertex AI, Microsoft Fabric, NVIDIA AI Enterprise, and Salesforce Agentforce, enhancing its appeal as a cloud-agnostic solution provider. Everest Group’s analysis acknowledges these capabilities’ strategic relevance in meeting enterprise demands for AI-ready, governed data environments. However, concerns remain around usability, unclear pricing and licensing models, and the limited discussion around FinOps and SLAs, which may inhibit enterprise adoption at scale.
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Aug. 01, 2025Robotics plays an integral role across industries, from manufacturing to space exploration. Over the past decade, robotics has advanced from executing pre-programmed tasks to operating semi-autonomous robots capable of basic decision-making, using machine vision, connectivity, and feedback. AI has driven this shift and enabled robotics to address real-world challenges, such as detecting diseases, warehouse sorting, and predictive maintenance. As automation expands into the physical world, robots will continue to evolve. They will handle more complex tasks – not only in factories but also in unpredictable environments such as streets, farms, or disaster zones. To achieve this, we need autonomous robots that can adapt and make decisions. The next step involves transitioning robots from performing narrow, specialized tasks with limited flexibility to operating as generalized robotic systems managing diverse tasks and environments. This shift will pave the way for physical AI emergence, which will redefine robotic technologies. This report provides valuable insights into physical AI and how enterprises can leverage it to achieve their business objectives more efficiently.
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July 29, 2025Enterprise R&D functions generate vast volumes of data and insights, yet much of this knowledge is lost or underutilized due to fragmented systems, undocumented insights, and employee turnover. Traditional systems, such as Electronic Lab Notebooks (ELN) and collaboration platforms, are inherently passive. They archive information but do not support its reuse or inform real-time decision-making. The challenge is not merely storing knowledge but enabling it to be dynamically accessed and applied at the point of need. This is where Systems of Execution (SoE) come into play. SoE are intelligent, integrated platforms that combine structured and unstructured data, apply AI to understand context, and autonomously execute decisions within scientific workflows. Fueled by agentic AI, SoE act as real-time knowledge orchestrators, detecting patterns, interpreting context, selecting tools, and initiating actions to accelerate experimentation and innovation. Rather than revisiting old errors or revalidating known findings, R&D teams can now leverage institutional knowledge seamlessly. This Viewpoint explores SoE’s transformative impact in R&D and the organizational readiness needed to harness their full potential.
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July 17, 2025In today’s dynamic innovation landscape, Research, Development, and Innovation (RD&I) teams face the dual challenge of accelerating time-to-market while operating under strict budgets. Traditional portfolio management approaches rely on manual processes and fragmented data, often resulting in delayed, misaligned, or suboptimal decisions. Systems of Execution (SoE) represent a transformative approach to pipeline and portfolio prioritization. By leveraging agentic AI for contextual decision-making, automating execution workflows, and enabling real-time data integration across systems, SoE close the gap between insight and action. This Viewpoint presents a four-pillar framework covering AI orchestration, process automation, data architecture, and governance readiness. The result: improved resource allocation, better alignment with strategic goals, faster portfolio responsiveness to market shifts, and minimized costly missteps. With providers accelerating SoE deployments, RD&I leaders have an opportunity to rethink prioritization at an enterprise scale.
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July 16, 2025Agentic AI is fast becoming the most talked-about breakthrough in enterprise technology, promising transformative outcomes across cost, efficiency, and revenue generation. Yet as organizations explore its potential, they also face rising uncertainty around trust, data governance, ROI, and a rapidly evolving vendor ecosystem. Watch Everest Group experts Chirajeet Sengupta and Anil Vijayan as they unpack the current state of agentic AI adoption, the pressing considerations for enterprises, and what the road ahead may look like. This session offered insights into where agentic AI is delivering value, how leaders are managing key risks, and what changes we can expect in the next 2–5 years. Whether you’re an enterprise executive or a technology provider, this is your chance to separate signal from noise and understand the trajectory of this powerful innovation.
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July 03, 2025Procurement leaders are navigating an increasingly complex landscape, marked by heightened demands for cost efficiency, sustainability, and risk mitigation. Traditional automation tools are no longer sufficient to meet these challenges. Enter Agentic AI – a transformative technology characterized by autonomous decision-making capabilities that can revolutionize procurement processes. In this webinar, our experts Bhanushee Malhotra, Prateek Singh, and Amit Lad delved into the concept of Agentic AI within procurement. This webinar explored the technological landscape, functionalities, and transformative impact of Agentic AI across various procurement processes. Attendees gained clarity on Agentic AI’s role, potential benefits, and key considerations for successful implementation. What questions did the webinar answer for the participants? What is Agentic AI, and how does it differ from traditional procurement automation tools? Which procurement processes are most suitable for Agentic AI adoption? What are the various Agentic AI use cases currently offered by procurement technology providers? What are the essential functionalities and capabilities to look for in AI agents within procurement solutions?
