Abstract
The traditional IT services model is undergoing significant transformations as enterprises increasingly adopt automation, AI-driven development, and cloud-native solutions. Previously, traditional approaches relied heavily on human talent and cost arbitrage, which increased dependency on external factors and limited scalability. This whitepaper explores the challenges faced by existing SaaS models that lack adaptability and seamless AI integration. It highlights the urgent need for a new IT services model—“Services as a Software”—which leverages AI and Generative AI (GenAI) to package software services, minimize human dependency, and maximize efficiency.
Core Insights
- Evolving Role of Tech Leaders: By 2030, it is predicted that technology leaders will evolve from traditional roles to become “Value Orchestrators,” focusing on enhancing value through technology, people, processes, and partnerships.
- Code Automation & Agentic AI: Code Automation and Agentic AI are expected to provide efficient, cost-effective, and customized solutions that were not possible with traditional SaaS models.
- Savings & Workforce Impact: Code Automation will contribute to reducing IT service costs, enabling faster application development, and enhancing security through improved code quality.
- Services as a Software Model: This model delivers services as a product rather than relying on talent-based offerings. It minimizes human intervention, and plug-and-play industrial use cases facilitate quicker enterprise adoption.
- The Path Forward: The “Services as a Software” model employs deep technology and AI to enhance IT services. By reducing human intervention and talent dependency, this model guarantees improved efficiency, faster deployment, and a complete transformation of the industry.