Modernize Tech to Scale AI Responsibly

Discover how software engineering leaders can eliminate technical debt and secure AI-ready architectures with Gartner insights.

Gartner roadmap detailing how software engineering leaders eliminate technical debt and build secure AI-ready technology architectures.

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Learn how software engineering leaders eliminate tech debt to scale AI — and how Gartner insights drive success.

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Building AI-ready foundations is a critical mandate for every software engineering leader

The rush to implement AI agents has matured into a mandate for secure, composable architectures. For software engineering leaders, the mission has shifted from exploring AI to eliminating technical debt, yet outdated legacy systems stall innovation and threaten digital disaster.

Download this guide for key steps to achieving success on this mission-critical priority and to learn more about how Gartner collaborates with leaders like you to drive key outcomes.

You may also like our webinars on AI, tailored for software engineering leaders, led by Gartner analysts.

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

Strong foundations guarantee the safety, composability and adaptability needed to capitalize on AI. This roadmap details critical steps to eliminate technical debt, modernize architectures and secure APIs to prevent digital disasters.

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 establish foundations for AI-ready software engineering technology:

Select software, technologies and processes to ensure readiness for effective AI software engineering

Assess architecture and select optimal technologies to guarantee teams deploy secure, effective applications.

Implement AI engineering platforms to enable and expand adoption of AI-building capabilities

Deploy standardized platforms to eliminate redundancy, accelerate development and empower teams to scale.

Modernize architecture, data infrastructure and APIs for scalability, interoperability and AI readiness

Remediate technical debt and build composable API architectures to prevent costly integration failures.

Establish governance frameworks for responsible AI development, standardized tools and secure operational practices

Enforce rigorous governance and secure operational practices to control risks and maintain strict compliance.

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