We believe that the coming switch to AI-driven solution development will bring about the biggest ever change to the world of business software. Here are a few things we believe will happen…
- End of Traditional Coding and Democratization of Development
Human developers will transition from writing code to defining objectives, leaving implementation and debugging to AI systems capable of understanding and generating complete solutions. Non-technical users will be able to create sophisticated software solutions through natural language specifications. - Near-Instant Prototyping and Deployment
Software specifications will be fed into AI-based system generation tools to produce functioning prototypes or production-ready solutions within hours, minimizing the development lifecycle. This will allow specifications and systems to be built iteratively, leading to better quality outcomes as stakeholders are able to participate more effectively in the process. - Bespoke Software Replaces Off-the-shelf (SaaS) Systems
AI-driven development will create highly customized solutions tailored to individual company workflows, reducing the reliance on generic, off-the-shelf software. It will be less risky to have a perfectly tailored system generated than trying to figure out whether an off-the-shelf solution can do what any given business requires. - Continuous System Optimization
The system specification will become the new source code and non-technical users will be able amend this as the business evolves, rapidly generating and deploying updated capabilities. Applications will also be capable of evolving autonomously, analysing user behaviour and optimizing their own functionality and performance over time without requiring manual intervention. - Real-Time Integration Across Ecosystems
AI will enable seamless, automated integration between diverse business applications, eliminating data silos and ensuring real-time, cross-platform communication. - More Flexible Data Structures
Todays fixed data structures will be replaced by soft, tagged data models that can accurately represent every instance while being interpreted and managed by AI to produce consistent results. - Enhanced Decision-Making Systems
AI-driven software will embed predictive analytics and decision-making capabilities into business applications, empowering organizations to act proactively rather than reactively. - More Capable Solutions
The reduced cost of development, along with the simplified development process will free-up time and resources to address more ambitious objectives for system capabilities. - Dynamic Compliance Management
AI-driven software will autonomously adapt to regulatory changes, ensuring businesses remain compliant with legal and industry-specific standards without human oversight. - Elimination of Legacy Constraints
Legacy systems and work arounds will be rapidly modernized or replaced as AI-driven tools extract, translate, and re-implement functionality into modern architectures without manual redevelopment. This will lead to fully integrated end-to-end enterprise solutions.