Agentic AI Enables Natural Language App Development
bankinfosecurityC3 AI's Nikhil Krishnan Says End Users Can Now Author Workflows Michael Novinson (MichaelNovinson) • November 25, 2025

Modern agentic systems enable developers and end users to build production-ready applications using natural language descriptions instead of traditional coding. Organizations historically struggled with this capability due to challenges in mapping and structuring enterprise data efficiently, but new AI models and semantic data layers have transformed app development.
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The shift delivers dual benefits: faster development velocity and the ability for process engineers and subject matter experts to design workflows without complex development cycles. Enterprise object models serve as the foundation, unifying disparate data sources across multiple SAP versions and ERP systems acquired through mergers.
"End users imagine these applications and flow workflows themselves, versus having to go through complex development cycles. Imagine process engineers or subject matter experts at a company ...
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