Agentic AI in Software Development: An OutSystems, KPMG, and CIO Dive report

The future of agentic AI: Challenges and insights

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AI is now embedded across the software development lifecycle (SDLC). Of the 550 organizations surveyed by CIO Dive, KPMG, and OutSystems in 2025, 99% have now incorporated AI into their SDLC processes.

One-third of organizations are using AI for app generation

More than a third of the executives surveyed have adopted AI for application generation, and 69% say it has increased developer productivity. Another 68% say it helps improve software quality and reduces bugs, while 62% say that AI has made development efforts more scalable, all thanks to effective human and machine teaming.

Too often, however, AI is deployed in silos, which creates fragmented workflows, governance gaps, and unnecessary complexity, hindering true human-AI collaboration.

A joint report from CIO Dive, KPMG and OutSystems offers a different perspective

Our latest joint report with CIO Dive and KPMG explains the benefits and risks of adopting agentic AI and generative AI in software development. The report also shares how organizations are navigating the twists and turns of human and machine collaboration.

Dive into this report to learn why:

The use cases rated as demonstrating the greatest business value are the most popular for AI-driven software development.
Agentic AI can overcome scaling challenges, while providing better customer experiences and increased productivity.
Comprehensive guardrails and access controls address data privacy and security concerns, ensuring responsible human-AI collaboration.
A unified platform approach helps eliminate silos and AI sprawl, all the while fostering effective human-AI collaboration systems.