Adapt Your Structure for AI-Powered Engineering

Discover how software engineering leaders can leverage Gartner insights to reimagine organization models, talent strategies and workflows for AI‑driven delivery.

Future of Software Engineering: Reenvision Organization, Teams, Talent and Workflows

Download your guide to AI‑native software engineering

Learn how software engineering leaders can redesign teams, talent and workflows using Gartner insights.

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Transform software engineering for the AI era

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 collaborates with leaders like you to drive measurable outcomes.

What does the software engineering organization of the future look like?

To transform into an AI-native software engineering organization, leaders must inspire their teams with a vision for change, collaborate closely with their teams to create and adopt new AI-enabled ways of working, and cultivate AI-native skills and behaviors in their teams.

Gartner has identified the major actions and decisions on your journey to success on this mission-critical priority. Our tools and insights 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 reenvision your organization, teams, talent and workflows are:

Diagnose opportunities and threats

Assess skills, processes and delivery capabilities to understand readiness for evolving AI‑driven priorities.

Transition to AI‑native ways of working

Pilot new team structures, redesign roles and upskill talent to iteratively move toward AI‑native engineering.

Define AI‑native strategies

Create plans to close skills gaps and design workflows, technologies and structures optimized for AI delivery.

Evolve talent strategies

Adapt sourcing and workforce models to address new structures, skill gaps and AI‑driven engineering practices.

Decision tools

Get benchmarks, assessments and guides to drive stronger performance.

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