Agentic AI Transforms Software Development and Business Operations
Nearly half of organizations are deploying agentic AI to automate tasks like code reviews and testing, achieving unprecedented productivity gains.
Software executives are rapidly adopting agentic AI to automate complex tasks, with 47% of organizations already integrating these systems into workflows, according to a new survey by OutSystems, KPMG, and CIO Dive.
The Rise of Autonomous AI Teams
Agentic AI is no longer a futuristic concept—it’s here, and it’s transforming how businesses operate. Imagine a scenario where autonomous AI agents work overnight to compile client briefings, analyze industry reports, and generate data visualizations—all without human intervention. This level of automation is now a reality, extending beyond internal processes to customer service, operations, and software development.
From Pilots to Widespread Adoption
A year ago, generative AI tools like code suggestions were the focus. Today, AI has become an everyday teammate, with nearly all organizations planning to increase investments in agentic AI. The survey of 550 software executives revealed:
- 47% are actively integrating agentic systems.
- Adoption is fastest in testing, development, and monitoring, but spreading to requirements gathering and design.
- Many organizations are building their own AI agents using open-source frameworks and low-code platforms.
Measurable Impact on Productivity and Quality
Agentic AI isn’t just automating routine tasks—it’s enabling developers to focus on high-level problem-solving. Executives reported:
- Increased developer productivity
- Improved software quality
- Greater scalability of development activities
Challenges and the Human Role
Despite the benefits, scaling agentic AI requires trust and oversight. New roles like agent architects and prompt engineers are emerging to ensure ethical and effective use. Key concerns include:
- Security and compliance risks
- Data quality and reliability
- Shadow AI (unsanctioned tool usage)
To manage these challenges, 46% of executives are turning to low-code platforms to unify AI tools and workflows. The future of AI adoption hinges on balancing automation with human oversight—making AI work for people, not replacing them.
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About the Author
Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.