Enabling Enterprise Agility with Low-Code/No-Code, AI, and Platforms
Updated
In Enabling Enterprise Agility with Low-Code/No-Code, AI, and Platforms, Futurum Research explores how enterprises are modernizing application development by combining LCNC tools, AI-powered development, and platform engineering.
Futurum's Mitch Ashley,
Cite this
Mitch Ashley, The Futurum Group, "Enabling Enterprise Agility with Low-Code/No-Code, AI, and Platforms," January 27, 2026. https://trial.futurumgroup.com/research-reports/enabling-enterprise-agility-with-low-code-no-code-ai-and-platforms/

Enterprises face growing pressure to deliver digital capabilities faster while operating under persistent constraints related to skills, security, cost, and governance. Traditional application development approaches—characterized by long cycles and limited developer capacity—are no longer sufficient. As a result, organizations are rethinking who builds software, how it is built, and the platforms required to support safe, scalable delivery across the enterprise.
Low-code and no-code (LCNC) solutions are increasingly central to modern development strategies, enabling business users—often referred to as citizen developers—to create applications that directly address workflow and productivity challenges. When combined with professional development and platform engineering practices, LCNC tools help organizations accelerate time-to-market while maintaining architectural integrity, security, and governance. AI-powered development further enhances this model by enabling intent-based development through natural language interfaces and intelligent automation.
In this market brief, Enabling Enterprise Agility with Low-Code/No-Code, AI, and Platforms developed in collaboration with IBM, Futurum Research examines how enterprises can enable agility at scale by combining LCNC, AI-powered development, and platform-centric architectures. The report outlines IBM’s approach to enterprise-grade agility, highlighting the importance of hybrid cloud, built-in governance, platform engineering, and integrated automation to ensure that speed of innovation translates into production-ready, secure, and resilient outcomes. Download the report to learn how organizations can balance development velocity with operational control.
In this brief, you will learn:
- Why LCNC and professional development are increasingly complementary—not competing—approaches
- How citizen developers and AI-powered tools are reshaping enterprise software creation
- The role of platform engineering in ensuring security, governance, and production readiness
- Why hybrid cloud and infrastructure-as-code are foundational to scalable LCNC strategies
- How IBM’s platform-driven approach helps enterprises move faster without sacrificing control
If you are interested in learning more, be sure to download your copy of Enabling Enterprise Agility with Low-Code/No-Code, AI, and Platforms today.
Published by Futurum.
More from Mitch Ashley
Enterprise AI Overruns Hit 46.9%: Is the Reckoning in FY2027?
Mitch Ashley, VP and Practice Lead at The Futurum Group, shares his insights on why 46.9% of enterprises are running over budget on AI and how FY2027 budgeting will force new discipline, accountability, and outcome-based pricing on AI spend.
Atlassian Bets the Work Surface on Governed Agentic Workflows
Mitch Ashley, VP and Practice Lead, CIO & Tech Buyers and Software Lifecycle Engineering at Futurum, shares his insights on Atlassian’s move to governed agentic workflows and why staking the work surface as a control plane matters more than the feature list.
46.9% of Enterprises Report AI Spend Over Budget in 2H 2026
Mitch Ashley, VP and Practice Lead, CIO and Technology Buyers at Futurum, reveals that 46.9% of enterprises are running AI spend over budget, and traces how the overrun is funded by cutting external labor, in a survey of 1,636 IT decision makers.