In the realm of Intelligent Automation (IA), enterprises are increasingly turning to Intelligent Document Processing (IDP) to automate document processing and realize various business benefits. Generative AI, with its advanced Natural Language Understanding (NLU) and content generation capabilities, is poised to disrupt the IDP landscape, bringing transformative enhancements to product capabilities. While language models such as BERT have traditionally been part of IDP solutions, the integration of advanced Large Language Models (LLMs) such as GPT-3.5 (and above) is expected to revolutionize how enterprises handle and process documents. This integration offers effective tools to transform their operations, drive innovation, and unlock new opportunities. In this viewpoint, we help enterprises and providers understand how advanced IDP solutions integrated with generative AI can help achieve key business objectives. The report provides insights into potential industry-specific and horizontal use cases and discusses key considerations such as cost and privacy concerns. We also explore some of the best practices to maximize RoI from generative AI and IDP integration. Scope All industries and geographies Contents In this report, we examine: Generative AI’s evolution in IDP and its applications Generative AI’s role in enhancing IDP solutions Potential use cases and benefits of generative AI and IDP integration Key considerations and best practices for businesses Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Everest Group defines Intelligent Document Processing (IDP) as any software product or solution that uses AI technologies such as computer vision, OCR, Natural Language Processing (NLP), and machine/deep learning to capture, categorize, and extract data from documents (e.g., email, text, PDF, and scanned documents) for further processing. These solutions are typically non-invasive and can be integrated with internal applications, systems, and other automation platforms. They offer platforms that enable enterprises to deploy out-of-the-box solutions using pre-built modules or custom solutions that assist buyers in classifying and extracting data from documents. IDP solutions not only help enterprises achieve cost savings but also enhance workforce productivity and improve employee and customer experience. The demand for unstructured document processing solutions has been increasing due to the growing sophistication of IDP products in terms of capabilities, features, and functionalities. This report provides IDP buyers, software providers, and third-party enablers (providers and system integrators) a detailed view of the IDP market by analyzing it across various dimensions such as market size and adoption trends, buyer satisfaction, product capabilities and trends, solution characteristics, provider landscape, unstructured document processing, challenges to IDP adoption, and outlook for 2023-24. Scope All industries and geographies The report focuses on IDP and unstructured document processing 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 and an ongoing analysis of the market Contents In this report, we examine: Introduction to IDP Outlook for 2023-24 IDP market characteristics Buyer expectations IDP product capabilities and trends IDP solution characteristics IDP provider landscape Unstructured document processing Challenges to IDP adoption Best practices 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), and machine/deep learning to classify and extract information from structured, semi-structured, and unstructured documents. The solution is typically non-invasive and can be integrated with internal applications, systems, and other automation platforms. Enterprises have the option to choose from two types of offerings: platform-based solutions that deploy out-of-the-box solutions using pre-built modules, or custom solutions that assist buyers in classifying and extracting data from documents. IDP solutions not only deliver cost savings but also enhance workforce productivity, as well as employee and customer experience. The demand for unstructured document processing solutions has been rising due to the increasing sophistication of IDP products in terms of capabilities, features, and functionalities. To implement IDP successfully, enterprises must partner with the appropriate IDP technology provider. This compendium provides comprehensive and fact-based snapshots of 36 leading IDP technology providers and 32 leading unstructured document processing technology providers. It evaluates their offerings and capabilities across the overall IDP landscape and unstructured document processing landscape to assist existing and potential IDP buyers in assessing providers based on their desired capabilities. 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 report includes IDP providers that offer unstructured document processing solutions This assessment is based on Everest Group’s annual RFI process and an ongoing analysis of the market Contents This report provides key stakeholders a comprehensive overview of 36 leading IDP technology providers’ and 32 leading unstructured document processing technology providers’ offerings and capabilities. It also allows technology providers to compare their offerings, capabilities, strengths, and limitations with other providers in the marketplace. Each technology provider profile includes: Company overview Recent deals and announcements Market adoption and capability overview Client portfolio mix Partnerships Product overview Product features, functionalities, and key enhancements Capabilities across PEAK Matrix dimensions Key strengths and limitations 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 Artificial Intelligence (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. The demand for unstructured document processing solutions has been rising due to the increasing sophistication of IDP products in terms of their capabilities, features, and functionalities. To achieve success in implementing IDP, enterprises must partner with the appropriate IDP technology provider. In this report, we assess 36 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 32 IDP providers and positions them on Everest Group’s Unstructured Document Processing 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 IDP providers that offer unstructured document processing solutions Contents In this PEAK Matrix® report, we: Position IDP and unstructured document processing technology providers on Everest Group’s PEAK Matrix, categorizing them as Leaders, Major Contenders, and Aspirants Analyze the technology provider market’s competitive landscape Highlight key IDP and unstructured document processing technology trends Discuss providers’ key strengths and limitations Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

In recent years, enterprise adoption of automation technologies has been on the rise and Robotic Process Automation (RPA), a key enabler of enterprise automation, has captured the attention of many organizations. The RPA market is experiencing a steady growth as organizations across industries and geographies adopt RPA solutions to succeed in the post-pandemic era. RPA provides a host of benefits to enterprises, including cost savings, improved operational efficiencies, and enhanced customer and employee experiences. RPA solutions are evolving in terms of their product features, deployment options, product architecture, training and support, partner ecosystem, and commercial models. However, to achieve the desired benefits of automation, it is vital for enterprises to select the best-fit RPA provider for their needs. In this report, we provide accurate, comprehensive, and fact-based snapshots of the RPA market and analyze it across various dimensions such as market size and adoption trends, buyer expectations, key barriers to RPA adoption and best practices, solution characteristics, product capabilities and trends, RPA market competitive landscape, and outlook for 2023-24. Scope All industries and geographies RPA products sold on license, irrespective of any ongoing business or IT process outsourcing or managed services Contents In this report, we study: RPA market size and adoption trends Buyer expectations Key barriers to adoption and best practices RPA solution characteristics RPA product capabilities and trends RPA market competitive landscape Outlook for 2023-24 Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

The post-pandemic era is repeatedly stress-testing organizations’ abilities to adapt to a volatile world through rising inflation, an economic slowdown, geopolitical tensions, supply chain disruptions, and talent shortages. Amid these uncertainties, corporate executives are increasingly adopting automation as a strategic initiative to emerge successful in the marketplace. Robotic Process Automation (RPA) continues to be a key enabler for enterprise automation and is strengthened by new technologies such as Intelligent Document Processing (IDP), process mining, task mining, API-based automation, process orchestration, and conversational AI. RPA provides a host of benefits to enterprises, including cost savings, improved operational efficiency, and enhanced customer and employee experience. However, despite its benefits, it is vital for organizations to select the right enterprise-grade RPA solution for their needs. In this compendium, we provide accurate, comprehensive, and fact-based snapshots of 23 RPA technology providers, covering the providers’ company overview, recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features, functionalities and key enhancements, capabilities across PEAK Matrix® dimensions, and key strengths and limitations. The compendium will enable providers to benchmark their capabilities against their competitors, while buyers of RPA software will be able to assess the providers based on their desired set of capabilities. Scope All industries and geographies Contents In this report, we evaluate 23 RPA technology providers and provide the following provider-specific details: Company overview Recent deals and announcements Product overview Market adoption and client portfolio mix Product features, functionalities, and enhancements Capabilities across PEAK Matrix® dimensions Key strengths and limitations Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Following the pandemic, organizations have realized the need to evolve into digital-first businesses to remain competitive, agile, and resilient. They can achieve this transformation by adopting Intelligent Automation (IA), a combination of technologies such as Robotic Process Automation (RPA), Intelligent Document Processing (IDP), process mining, task mining, process orchestration, and conversational Artificial Intelligence (AI). This Playbook taps into various frameworks, such as Everest Group’s Pinnacle Model™ and Capability Maturity Model (CMM), to empower enterprises to adopt, expand, and scale their automation journeys. It also evaluates Pinnacle Enterprises’ winning strategies to build IA capabilities and generate superior business impact and outlines a framework for enterprises to develop the business case for IA adoption. Scope All industries and geographies Contents In this report, we: Discuss the need for enterprises to become digital-first businesses Define IA and describe its benefits and use cases Outline an IA journey and provide strategies to accelerate IA adoption Examine the transformation journeys of successful digital-first businesses Discuss the challenges of IA adoption Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

The post-pandemic era is repeatedly stress-testing organizations’ abilities to adapt to a volatile world through rising inflation, an economic slowdown, geopolitical tensions, supply chain disruptions, and talent shortages. As corporate executives go back to the drawing board to re-examine their strategic priorities, they are increasingly regarding automation as a strategic initiative to emerge successful amid these uncertainties. For long, Robotic Process Automation (RPA) has remained a key enabler for enterprise automation. While the overall automation ecosystem is rapidly evolving through new technologies – such as Intelligent Document Processing (IDP), process mining, task mining, API-based automation, process orchestration, and conversational AI – these technologies only strengthen RPA, which continues to be a foundational element of enterprise automation. RPA provides a host of benefits to enterprises, including improved operational efficiency, enhanced customer and employee experience, and a workforce engaged in strategic activities. With Big Tech firms entering the space, RPA has become one of the fastest-growing software markets. In this report, we study 23 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 right-fit technology providers for their needs, while technology providers will be able to benchmark themselves against each other. 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 Competitive landscape of the RPA technology provider market Key RPA technology trends Key strengths and limitations of each RPA technology provider Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management