Boosting Efficiency: How AI-First Development and Low-Code Platforms Transform Business Strategies

Organizations are increasingly adopting an AI-first development approach, leveraging Microsoft Power Platform to enhance efficiency and creativity with minimal coding. A recent Forrester study highlights the strong link between generative AI readiness and low-code maturity, suggesting that AI tools can significantly boost low-code adoption. To maximize these benefits, businesses must assess their readiness for AI integration, focusing on low-code maturity, AI understanding, and data security. This proactive evaluation is crucial for navigating the evolving digital landscape and ensuring successful implementation of AI-powered tools.

Unlocking the Future of Development: AI-First with Microsoft Power Platform

As organizations strive for innovation, the shift to an AI-first development approach is becoming essential. With Microsoft Power Platform, businesses can create powerful applications with minimal coding. This comprehensive suite is designed to enhance efficiency and creativity.

What’s New in AI-First Development?

Recent research by Forrester Consulting reveals a strong link between generative AI readiness and low-code maturity. This suggests that AI tools are not just a trend; they are pivotal in boosting low-code adoption. The Power Platform and AI agents are your gateway to faster development and improved productivity.

“One of the big benefits for us of Power Platform is that it all works together so seamlessly.”
– Brian Hodel, Senior Analyst, Business Systems, T-Mobile

Major Updates: The Rise of Low-Code and AI

Low-code platforms have transformed how organizations manage software development. Before AI, Power Platform empowered users with little coding experience to create applications. Now, the introduction of AI capabilities enhances this further. It allows users to create innovative solutions using natural language, making development even more accessible.

Forrester’s research indicates that the adoption of generative AI capabilities is expected to increase low-code development by 28%. This is a significant shift towards innovative methodologies.

What’s Important to Know Before You Start?

Organizations must assess their readiness for AI-first development. This includes understanding low-code maturity, AI readiness, and data security. The Forrester Consulting AI and low-code readiness assessment provides valuable insights. It helps identify areas for improvement and strategic growth.

Key areas to evaluate include:

Low-code maturity: Assess your current use of low-code tools.
AI readiness: Evaluate your understanding of generative AI and governance policies.
Data security: Identify gaps in data management and security practices.

Key Recommendations for Enhancing Readiness

For organizations aiming to improve their low-code and AI maturity, Forrester provides several recommendations:

Establish a proactive development program using Power Platform capabilities.
Empower developers with AI-first platforms to expedite processes.
Implement data governance frameworks for secure data management.

By addressing these areas, organizations can effectively harness the potential of AI and low-code technologies. This proactive approach ensures that businesses remain competitive in a rapidly evolving digital landscape.

AI-first development blurs the lines between no-code, low-code, and pro-code methodologies.

Forrester’s research indicates a projected 28% increase in low-code development due to generative AI adoption.

Organizations must evaluate their low-code maturity and AI readiness to enhance strategic growth.

Empowering non-IT employees through citizen developer strategies is vital for digital transformation.

Robust data governance and security frameworks are essential for effective AI integration in development.

From the Microsoft Power Platform Blog