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AI agents surge in enterprises, 94% flag sprawl risks: report

OutSystems, an AI development platform company, released a commissioned global survey of nearly 1,900 IT leaders that found 96% of enterprises use AI agents.

The survey also found that 94% worry that AI sprawl is raising complexity and security risks as adoption moves into production.

Among 527 APAC respondents in India, Australia, and Japan, 44% in Japan said a lack of internal skills was the top barrier to application development, while governance and compliance stalled 50% of projects in Australia.

The company said India had some of the highest levels of advanced or expert users of agentic AI, and that only 12% of organizations globally had implemented a centralized platform to manage AI sprawl.

🔗 Source: OutSystems

🧠 Food for thought

Implications, context, and why it matters.

This survey sets up the issue OutSystems says it can fix

  • OutSystems shared the survey results on April 7, 2026, one week after it announced “Agentic Systems Engineering” on March 31 1.
  • OutSystems says the approach tackles AI sprawl through a managed platform that helps organizations oversee many separate AI agents 2.
  • The approach relies on an “Enterprise Context Graph,” a central map of company systems, data, and rules meant to keep control in one place and maintain a consistent architecture 2.
  • CEO Woodson Martin leads the effort. He is a former Salesforce executive who became CEO in May 2025 after OutSystems said it passed 500 million euros (US$580 million) in revenue 3.

AI sprawl is changing developer work and the race for enterprise oversight

  • OutSystems says reducing AI sprawl shifts software developers from coding tasks to “agentic system engineers” who coordinate AI tools and protect architectural integrity 4.
  • The company is also competing to act as the governance layer for enterprise AI. OutSystems says its approach works with third-party agentic coding tools like Claude Code, Anthropic’s coding assistant, and Cursor, an AI-powered code editor 2.
  • A need for a control plane, a central system for managing and coordinating AI tools, gets clearer in a Gartner projection. Gartner expects software defects to rise 2,500% by 2028 as prompt-to-app development scales 4.
  • SRS Distribution, a building products distributor, reports faster delivery after adopting the model. It sped up application development by up to 50% using OutSystems Mentor 2.

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