Software governance in the AI era

A practical guide for CIOs and CTOs

Free guide for CTOs on software governance in the AI era – Software Improvement Group.

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15 pages of practical guidance to reduce risk, align AI strategy with reality, and lay the foundations for long-term, AI-driven impact.

What you'll find inside

Governance that scales

Learn how to turn transparency into day-to-day decision-making so quality, cost, and risk are visible and managed.

4-stage maturity model

Stagnation → Refactoring → Modernization → Transformation, with what to do at each step.

AI risk
playbook

Address accuracy, architecture, security, and licensing risks before you scale with AI.

Self-assessment + action map

Identify your stage and act on the immediate next steps that unlock progress.

Preview

Introduction

For CTOs and CIOs, leading in the AI era means making faster, higher-stakes decisions—often without a clear, shared view of the IT landscape.

AI can accelerate delivery, but without mature architecture, robust governance, and alignment to business goals, it amplifies risk instead of creating value.

CHAPTER 1: Maturity matters in the age of AI

CHAPTER 2: The four main risks of AI

CHAPTER 3: A practical framework: Four stages of software maturity

  • Stage 1: Stagnation
  • Stage 2: Refactoring
  • Stage 3: Modernization
  • Stage 4: Transformation

CHAPTER 4: Avoiding the “high-risk leap”

CHAPTER 5: Self-assessment: Where are you now?

CHAPTER 6: Starting strong: A CTO maturity action map

Who is this guide for?



For CTOs and CIOs who need a clear view of their software maturity to lead AI initiatives with confidence — leaders focused on reducing risk, strengthening governance, and turning modernization into measurable business impact.


AI is not a shortcut to transformation

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25%

of developers estimate 1 in 5 AI suggestions include factual errors.

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65%

of professionals say AI tools lack context about their codebase and architecture.

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40%

of AI-generated code suggestions show security vulnerabilities.

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35%

of AI-generated code show licensing irregularities that can create legal exposure.

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We are Software Improvement Group

Software Improvement Group (SIG) leads in traditional and AI software quality assurance, empowering organizations to become more resilient and agile by guiding them to enhance their software quality and security through deep source code analysis and tailored, strategic advice.

Sigrid® – our software assurance platform – leverages the world’s largest database containing over 300 billion lines of code across more than 20,000 systems and 300+ technologies, and intelligently recommends the most crucial initiatives for organizations. SIG complies with multiple ISO/IEC standards, including ISO/IEC 27001 and 17025, and has co-developed ISO/IEC 5338, the new global standard for AI lifecycle management.

SIG was founded in 2000 and has offices in New York, Copenhagen, Brussels, and Frankfurt, and is headquartered in Amsterdam.

Sigrid®, together with expert software engineering consultants and nearly 25 years of industry-leading research, positions SIG as the foremost authority on software excellence.

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For technology leaders shaping AI strategy, looking to connect modernization with strong business outcomes.

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