Discover how software engineering leaders can build, integrate and scale AI applications using Gartner insights on architecture, skills and integration to deliver measurable business value.
Discover how software engineering leaders can build, integrate and scale AI applications using Gartner insights on architecture, skills and integration to deliver measurable business value.
As AI accelerates the pace of change, software engineering leaders must move beyond incremental improvements to fundamentally reshape teams, roles and workflows. Yet skill gaps, unclear operating models and fragmented delivery slow progress when speed and impact matter most.
Download this guide for practical steps to building an AI‑native software engineering organization — and learn how Gartner works with leaders like you to drive measurable outcomes.
You may also like: Webinars on AI, tailored for software engineering leaders, led by Gartner analysts
Software engineering organizations are under extreme pressure to deliver key business value through AI applications and agents, and the ones that will be most successful are those that invest in AI skills and technologies.
Gartner has identified the major actions and decisions on your journey to success on this mission-critical priority. Gartner has tools and insights to support you throughout these steps, which will typically span many quarters or even years. (Your organization may or may not need to pursue each of them in any given order.)
The steps to successfully build and integrate AI applications and agents are:
Use AI agent frameworks and integration technologies.
Create plans to close skills gaps and design workflows, technologies and structures optimized for AI delivery.
Maintain quality APIs, performant models and trusted data sources.
Scale use of MCP servers/clients and integrate agents.
Get benchmarks, assessments and guides to drive stronger performance.
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