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

As enterprises seek to navigate complex and dynamic business environments, agentic automation is emerging as a powerful transformation of traditional Intelligent Automation (IA). By combining structured automation with AI-powered decision-making, agentic automation enables systems to sense, decide, act, and learn autonomously, unlocking greater productivity and operational autonomy. In this report, we assess agentic automation’s evolving landscape by examining its key attributes, real-world enterprise use cases across industries, and its potential to drive strategic value. The report offers a robust value assessment framework that evaluates agentic automation adoption’s benefits and costs across five high-impact use cases: KYC, invoice processing, warranty claims processing, customer onboarding, and employee onboarding. This comprehensive assessment helps decision-makers with the mechanism to quantify agentic automation’s value, build a compelling business case, and plan its enterprise-wide implementation. The research also outlines key considerations to help organizations navigate adoption challenges and realize agentic automation’s full potential. Scope All industries and geographies Contents In this report, we: Understand agentic automation Assess key use cases across industries and functions Measure agentic automation’s value Present the value assessment framework for agentic automation Examine value assessment for enterprise use cases Analyze key enterprise considerations for agentic automation adoption

As businesses generate and rely on vast amounts of data, managing its complexity becomes a pressing challenge. Without a structured approach, data inconsistencies can disrupt operations, compromise decision-making, and reduce AI-driven insights’ effectiveness. Master Data Management (MDM) serves as a foundational system that unifies essential business data, creating a single, trusted source of truth across systems and departments. This report emphasizes new-age MDM systems’ key characteristics, their enterprise adoption, and the evolving supplier landscape. It outlines a structured approach’s importance in navigating MDM’s complexities. Establishing an efficient MDM system requires a multi-tiered, phased strategy involving key business and technical stakeholders. Enterprises seeking to future-proof their organizational data should invest in MDM with a clear focus on maximizing data value. Scope All industries and geographies Contents In this report, we examine: MDM’s evolution over the years Key trends shaping the MDM landscape The evolving supplier landscape The challenges with MDM adoption and how to overcome them Membership(s) Data & Analytics Sourcing and Vendor Management

AI is transforming today’s business world by personalizing customer experiences and optimizing complex operations. Among the advances driving this digital transformation, generative AI has garnered significant market attention by creating new content, solving business-specific challenges, and unlocking automation opportunities. However, the underlying technology enabling these breakthroughs – foundation models – is where the true revolution lies. These models’ broader capabilities and impact extend far beyond generative applications. Foundation models, such as BERT, GPT, and Stable Diffusion, are large-scale ML models trained on vast datasets to perform a wide range of tasks. They power chatbots, search engines, code-writing assistants, image generators, and medical research. Integrated into digital transformation’s core, foundation models help organizations efficiently address real-world challenges. However, developing and deploying these models demands significant resources and expertise, highlighting the need for organizations to understand their potential and related trends. This viewpoint examines foundation models as the fundamental building blocks of AI’s future, exploring their architecture, applications, and challenges. Organizations can use this report to understand foundation models, assess their trajectory, and strategically adopt them to drive innovation and gain a competitive edge. Scope All industries and geographies Contents In this report, we examine: Foundation models’ introduction and brief history Characteristics and types of foundation models Market overview and provider landscape The current state of the market and future outlook Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management

IIntelligent Automation (IA) technologies’ adoption has increased over the past decade due to their potential to significantly transform business models. Businesses have made automation a strategic priority, and IA initiatives are now an integral part of large transformation deals. Furthermore, enterprises have begun combining Robotic Process Automation (RPA) with AI-powered products, such as Intelligent Document Processing (IDP) and conversational AI, along with process intelligence solutions such as process mining and task mining / Digital Interactions Intelligence (DII), to realize greater business value from their automation investments. While IA technologies offer the potential to enhance business outcomes, scaling up these transformation programs can be challenging. To successfully scale these initiatives, it is important to integrate multiple disparate systems and applications while managing the flow of work between digital and human workforces to optimize processes. Process orchestration, a vital component in the IA ecosystem, can help effectively manage these human-machine dynamics to ensure smooth scaling and digital transformation. In this viewpoint, we examine process orchestration’s role in the broader IA landscape and its benefits in achieving a scalable digital workforce. We also outline the challenges faced and best practices for enterprises to maximize value from their process orchestration initiatives. The report will benefit digital transformation and automation leaders, COOs, other business leaders tasked with improving operations, and process owners responsible for optimizing and improving business processes. Scope All industries and geographies Contents In this report, we examine: IA overview Process orchestration and its benefits Process orchestration’s role in the IA ecosystem Enterprise use cases Barriers to adopting process orchestration at scale Best practices for implementation Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Intelligent Document Processing (IDP) is any software product or solution that uses AI technologies to capture, categorize, and extract data from various document types for further processing. This typically non-invasive solution can be integrated with internal applications, systems, and other automation platforms. IDP technology providers are increasingly offering low-code/no-code capabilities to enable citizen developers to build document intake and processing workflows. Providers are also integrating IDP with Large Language Models (LLMs) to improve extraction accuracy and enable users to interact with documents via natural language prompts. IDP adoption helps enterprises save costs and improve workforce productivity and employee and customer experiences. In this report, we examine the IDP market, including buyers, software providers, and third-party enablers (providers and system integrators). The report also analyzes market size and adoption trends, buyer satisfaction, product capabilities and trends, solution characteristics, provider landscape, IDP adoption challenges, and outlook for 2024-25. It also offers insights into the banking- and insurance-specific IDP market, covering key use cases, capabilities, and trends. Scope All industries and geographies The report prioritizes IDP and banking- and insurance-specific IDP solutions sold on license, regardless of any ongoing business or IT process outsourcing or managed services This assessment is based on Everest Group’s annual RFI process for the calendar year 2023-24, interactions with leading IDP buyers and providers, client reference checks, and an ongoing analysis of the IDP market Contents In this report, we: Examine the IDP market outlook for 2024-25, market size, and adoption trends Analyze the IDP provider landscape and buyer expectations Assess IDP product capabilities, trends, and solution characteristics Study banking- and insurance-specific document processing Identify challenges and best practices for IDP adoption Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Intelligent Document Processing (IDP) products play a vital role in enterprises’ automation technologies portfolios. IDP leverages AI technologies such as Optical Character Recognition (OCR), computer vision, Natural Language Processing (NLP), machine/deep learning, and generative AI and LLMs to classify and extract information from structured, semi-structured, and unstructured documents. This solution typically integrates with internal applications, systems, and other automation platforms, offering a non-invasive approach. Continuous advances in IDP products result in ongoing improvements in capabilities, features, and functionalities. The demand for specialized processing solutions within banking and insurance is escalating due to the document-heavy processes inherent in these sectors and their substantial presence in the broader IDP market. Due to the highly regulated nature of banking and insurance, it is imperative for enterprises in these industries to carefully select a reliable and compliant IDP technology provider to successfully implement IDP. This compendium provides accurate, comprehensive, and fact-based snapshots of 26 leading IDP technology providers’ (including 10 leading banking-specific IDP technology providers and 10 leading insurance-specific IDP technology providers) offerings and capabilities. Each profile includes the provider’s company overview, recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features, and functionalities. Scope All industries and geographies The report examines IDP solutions that are sold on license, regardless of any ongoing business or IT process outsourcing or managed services The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading IDP technology providers, client reference checks, and an ongoing analysis of the IDP market Contents This report features 26 leading IDP technology provider (including 10 leading banking-specific IDP technology providers and 10 leading insurance-specific IDP technology providers), each of which includes: Company overview Recent deals and announcements Market adoption Client portfolio mix Partnerships Product overview Product features and functionalities Membership(s) Service Optimization Technologies (SOT) Outsourcing Excellence

Intelligent Document Processing (IDP) products continue to play a vital role in enterprises’ automation technology portfolios. IDP uses AI technologies such as Optical Character Recognition (OCR), computer vision, Natural Language Processing (NLP), and machine/deep learning to classify and extract information from structured, semi-structured, and unstructured documents. Advances in generative AI are driving providers to ramp up their IDP capabilities. The banking and insurance industries have exhibited strong demand for specialized processing capabilities, driven by numerous document-intensive processes and their significant market presence within the overall IDP market. This demand is further propelled by the advanced capabilities, features, and functionalities offered by IDP products. Given the highly regulated nature of these industries, enterprises must collaborate with suitable IDP technology providers to successfully implement IDP. In this report, we assess 26 leading technology providers and position them on Everest Group’s IDP PEAK Matrix® as Leaders, Major Contenders, Aspirants, and Star Performers based on their capabilities and offerings. Additionally, the report assesses 10 leading IDP providers (positioning them on Everest Group’s Banking-specific IDP Products PEAK Matrix®) and 10 leading IDP providers (positioning them on Everest Group’s Insurance-specific IDP Products PEAK Matrix®). The research will help buyers select the right-fit technology providers for their needs, while technology providers will be able to benchmark themselves against each other. Scope All industries and geographies The report focuses on IDP solutions sold on license, regardless of any ongoing business or IT process outsourcing or managed services The report includes leading technology providers in the overall IDP market and providers that focus on banking and insurance-specific IDP market Contents In this report, we: Position top IDP technology providers and those specializing in banking and insurance-specific processes on Everest Group’s PEAK Matrix®, categorizing them as Leaders, Major Contenders, Aspirants, and Star Performers Analyze the technology provider market’s competitive landscape Discuss providers’ key strengths and limitations Membership(s) Service Optimization Technologies (SOT) Outsourcing Excellence

Everest Group defines process orchestration as software that enables business users to design, manage, and monitor end-to-end business processes. It includes key capabilities, such as process modeling, managing business rules, designing user interfaces for capturing/presenting data, overseeing hybrid (human + digital) workforce management, and providing process-related insights. The process must orchestrate the flow of work across workers (such as robotic process automation, intelligent document processing, and conversational AI) and enterprise applications in long-running workflows. In this report, we analyze the process orchestration market for buyers, software providers, and third-party enablers (including providers and system integrators). The report offers a comprehensive view across various dimensions, including market size and adoption trends, buyer expectations, key barriers to adoption, and best practices. The analysis covers solution characteristics, product capabilities and trends, the technology provider landscape, and the outlook for 2024. Scope Process orchestration software products that are sold on license, irrespective of any ongoing business or IT process outsourcing or managed services All industries and geographies Contents In this report, we examine:Market size and adoption trends across buyer geography, industry, and business function Buyer expectations including key barriers to adoption and best practices Process orchestration solution characteristics and key product capabilities and trends Process orchestration provider landscape Outlook for 2024 Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Process orchestration enables business users to design, manage, and monitor end-to-end business processes. It is gaining traction across industries and geographies due to its numerous business applications that help enterprises realize greater business value. Its benefits include improving workforce productivity, ensuring strict process governance and compliance, and enhancing customer experience. The advent of generative AI is further transforming process orchestration product capabilities, and technology providers have been quick to enhance their products’ features and functionalities to catch up with the latest AI trends and market demands. However, enterprises must select the right-fit process orchestration technology partners to achieve success. In this report, we assess 24 leading process orchestration technology providers and evaluate their offerings and capabilities. The research will help buyers select the right-fit technology providers for their needs and enable providers to benchmark themselves against the competition. Scope Process orchestration software products that are sold on license, irrespective of any ongoing business or IT process outsourcing or managed services All industries and geographies The assessment is based on Everest Group’s annual RFI process for calendar year 2023, interactions with leading process orchestration technology providers, client reference checks, and ongoing analysis of the process orchestration market Contents In this report, we provide: Company overviews Recent deals and announcements Market adoption and client portfolio mix Product overview and partnerships Product features and functionalities and key enhancements Capabilities across PEAK Matrix® dimensions Key strengths and limitations Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management