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Research Jul 2026
... Gartner client? Monolithic delivery models fail to scale complex agentic AI workflows. Product leaders at managed service providers should decouple operations into modular multiagent systems to de-risk and successfully deploy autonomous AI service modules. Overview Strategic Planning Assumptions Analysis ...

Analyst(s):   Khurram Shahzad   |   Pablo Arriandiaga
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Premium Research Jul 2026
... Oracle’s Fusion AI subscriptions introduce consumption-based costs that the signed subscription does not fix. Without knowing what triggers a subscription and what drives consumption, IT sourcing, procurement, and vendor management leaders will pay for AI they never budgeted. Insights at a Glance Issue ...

Analyst(s):   Allison Adams   |   Brenna Detra
Research May 2026
... Access Insights Already a Gartner client? Unmanaged shadow AI is creating compliance risks and exposure to intellectual property. Product leaders can leverage this as an opportunity to create sustainable value, embedding AI security capabilities as differentiators, rather than focusing solely on productivity ...

Analyst(s):   Ayelet Heyman   |   Marissa Schmidt   |   Brandon Medford
Premium Research Jun 2026
... Hyperscalers standardize the AI stack, yet enterprises need hybrid AI for operational and regulatory reasons. IT services GMs win profitable differentiation by executing stack inversion to reset portfolio focus, repeatable offer build and execution-based monetization. Insights at a Glance Strategic Planning ...

Analyst(s):   Fernando Almeida
Premium Research Jul 2026
... Software engineering is the first major domain of knowledge work to experience AI-enabled cognitive offloading at scale. Software engineering leaders must prevent agentic AI adoption from eroding the skills required to build, understand, evaluate and evolve complex software. Insights at a Glance Strategic ...

Analyst(s):   Philip Walsh
Premium Research Jul 2026
... Treating AI solely as a technology investment — without identifying, measuring, and mitigating the new talent risks it introduces — will stall adoption and jeopardize strategic outcomes. CHROs can use this presentation template to facilitate a productive board conversation about risk AI management and ...

Analyst(s):   Brent Cassell
Premium Research Jul 2026
... Effective architecture for applications and AI agents enables scalability, adaptability, and maintainability, ensuring faster time to value. To create an effective architecture, application technical professionals must cultivate skills such as AI agent delivery, agile DevOps, cloud computing, APIs, integration ...

Analyst(s):   Brad Dayley   |   Steve Deng
Premium Research Jul 2026
... AI is shifting logistics execution from process-based workflows to decision-centric orchestration. Heads of logistics must shift from process management to decision management, redefine decision authority and govern autonomy at scale to unlock AI-driven execution with a competitive advantage. Insights ...

Analyst(s):   Brian Day
Premium Research Jun 2026
... Harness engineering determines the quality of AI-generated output more than model selection. This note provides step-by-step guidance to build a harness that will drive quality and reduce defects of AI-generated code. Insights at a Glance What Is Harness Engineering? Why Harness Engineering Is Important ...

Analyst(s):   Pamela Katz   |   C.A. Swan
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