In Q1 of this year, we surveyed over 200 IT leaders. In light of daily news about massive tech layoffs, one of the most interesting (and optimistic) findings was that IT leaders plan to reinvest freed resources from automating the enterprise application lifecycle primarily into employee experience, innovation, higher‑value work, and backlog reduction, rather than simply cutting costs. Report Discover key […]
In Opkey’s 2026 State of Enterprise Application Lifecycle Management survey of over 200 IT leaders, expectations for the use of agentic AI in managing enterprise applications are nothing short of transformational: most plan to adopt it, and they’re already planning how to reinvest the time and money they expect to save. Report Discover key trends, challenges, and insights from the 2026 State of Enterprise Testing & App […]
In 2026, generic AI is no longer enough for mission‑critical enterprise apps. CIOs need domain-specific, agentic AI with high inference accuracy, strong governance, and a clear AI posture focused on control and risk.
The 2026 State of Enterprise Application Lifecycle Management survey makes one thing plain: production issues with enterprise applications are recurring costs that measure in millions. Over half of IT leaders report that configuration or process changes cause production issues at least sometimes, often, or almost always, and many place the annual cost of those incidents between $500K and $5M or more. For a CIO and […]
Most enterprises pour money into generative AI and see almost nothing come back. The new Opkey’s report, “Build vs. Buy: The Enterprise Cloud Application AI Decision,” pulls together three major studies to show why that happens; and what the highest performing teams do differently when they bring AI into Oracle, Workday, and other cloud apps. Report Build vs. Buy: […]
Artificial intelligence (AI) is no longer just an experimental or buzz-driven concept. It has moved beyond generative use cases such as text and image creation into a new class of systems known as agentic AI, systems that can plan, reason, make decisions, and execute actions across complex, multi-step workflows with minimal human intervention. These systems are increasingly being applied to real business scenarios, from […]
Enterprise application delivery for Oracle and Workday is under compounding pressure. Clients are demanding faster timelines and predictable outcomes, while most SIs are still operating delivery models built on spreadsheets, manual effort, and individual heroics. The result is a pattern SI leaders know well: overruns, rework, and margin erosion on the very programs meant to […]
Enterprise application implementations—Oracle, Workday, and their peers—rarely fail at go‑live. They fail long before it. The root cause is almost always the same: manual, spreadsheet-driven delivery practices that obscure risk, erode margins, and undermine predictability at every stage of the lifecycle. This article examines where manual processes drive hidden costs across the implementation lifecycle—and how […]