Side-by-side comparison of AI visibility scores, market position, and capabilities
NASDAQ: WDAY | Workday $7.3B total revenue FY2024; PSA module unifies project delivery with HR and finance on one platform; enterprise-grade; targets professional services firms
Workday PSA is an enterprise project and resource management product built on the Workday platform, designed to help professional services firms manage the full delivery lifecycle — from project pursuit and staffing through billing and revenue recognition — in the same system that runs their HR, finance, and planning. Workday built PSA to eliminate the overhead of reconciling disconnected project management, time tracking, and financial reporting tools. Its core technology is native to Workday's unified data model, meaning project financials, resource costs, and workforce data are always synchronized.\n\nWorkday PSA covers project planning, resource capacity and skills-based staffing, time and expense capture, client billing, and revenue recognition under ASC 606 and IFRS 15. Because it shares a data layer with Workday HCM, project managers have real-time visibility into employee availability, cost rates, and utilization without manual data pulls. The product targets enterprises with complex, multi-geography service delivery operations: consulting firms, technology implementation partners, and services divisions of product companies.\n\nWorkday PSA competes with Certinia, Unit4, and Microsoft Dynamics 365 Project Operations. Its differentiator is native integration with Workday HCM and financials, eliminating reconciliation across multi-vendor stacks and providing a single source of truth for services performance. For enterprises already on Workday, PSA is a natural extension that reduces total cost of ownership.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
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