• NEW
    PEAK Matrix®
    Oct. 14, 2026

    Agentic AI is reshaping enterprise automation by introducing more autonomous, context-aware, and adaptive execution across business processes. As organizations combine AI agents with Robotic Process Automation (RPA), Application Programming Interfaces (APIs), applications, and human users, automation…
  • FEATURED
    State of the Market
    Sep. 17, 2026

    Everest Group defines Agentic Process Automation (APA) solutions as the sourcing of APA technology products along with consulting, implementation, and maintenance services, excluding traditional BPO services. APA is evolving from rules-based automation toward AI-enabled, agentic, and…
  • Provider Compendium
    June 17, 2026

    Enterprises are redefining their automation strategies as Agentic Process Automation (APA) evolves from traditional rule-based automation to AI-enabled, agentic, and outcome-driven transformation. This shift reflects a move from standalone automation initiatives to integrated programs that combine…
  • Voice of the Customer
    May 22, 2026

    Enterprises are redefining their Master Data Management (MDM) strategies as data reliability, governance, and AI readiness become central to enterprise transformation. As organizations modernize their data architecture and scale AI, generative AI, analytics, and automation initiatives,…
  • PEAK Matrix®
    April 30, 2026

    Enterprises are redefining their automation strategies as Agentic Process Automation (APA) evolves from traditional rule-based automation to AI-enabled, agentic, and outcome-driven transformation. This shift reflects a move from standalone automation initiatives to integrated programs that combine…
  • PEAK Matrix®
    Nov. 13, 2025

    Enterprises are redefining their Data and Analytics (D&A) strategies to build a strong data foundation for AI that is tailored to their unique business context. This shift reflects a move from broad transformation programs to focused…
  • PEAK Matrix®
    July 24, 2025

    Data teams face rising complexity, from hybrid and multi-cloud pipelines to growing AI workloads. Hidden data failures, cost overruns, compliance breaches, and bad downstream decisions are becoming untenable. As a result, data observability is no longer…