From projects to platforms: How Cognizant is rewiring delivery for the AI era

As enterprises push beyond AI pilots into scaled adoption, the limits of project-centric execution are becoming harder to ignore. AI doesn’t behave well in fragmented environments. It demands consistency, governance, repeatability—and above all, a foundation that can support continuous change rather than one-time delivery. That’s the backdrop against which Cognizant is rethinking how engineering work gets done. In this conversation, Pramod Bijani, Senior Vice President – Platform Group (Engineering), Cognizant lays out why the company has moved towards a platform-first operating model.

In recent years, AI has emerged as a transformative force across industries, driving innovation and efficiency. However, as organizations scale AI adoption, they are encountering challenges that traditional project-based approaches cannot address. The fragmented nature of project-centric execution often leads to inconsistencies, lack of governance, and difficulties in achieving repeatability. These issues can hinder the seamless integration of AI into core business operations and limit the potential benefits of AI adoption.

Cognizant, a global leader in business technology and consulting services, has recognized these challenges and is rethinking its approach to engineering work. The company is shifting from a project-centric model to a platform-first operating model, which is designed to support the continuous change and scalability required by AI and other emerging technologies.

Pramod Bijani, Senior Vice President – Platform Group (Engineering) at Cognizant, explains that the move towards a platform-first model is driven by the need to address the limitations of project-based execution in the context of AI and the broader digital transformation landscape. "AI is not just about individual projects or solutions; it’s about building a foundation that can evolve and adapt as the technology and business needs change," Bijani emphasizes.

A platform-first approach focuses on creating a flexible, scalable, and consistent foundation that can support the development, deployment, and management of AI and other digital solutions. This model emphasizes the importance of governance, standardization, and collaboration across teams and projects. By building on a common platform, organizations can ensure that their AI initiatives are aligned with their strategic goals, while also enabling faster time-to-market and improved efficiency.

Cognizant’s transition to a platform-first operating model is not without its challenges. The company has had to rethink its organizational structure, processes, and tools to support this new approach. However, Bijani believes that the benefits of this shift will outweigh the challenges. "By adopting a platform-first model, we are better positioned to deliver consistent, scalable, and adaptable AI solutions for our clients. This not only enhances the quality of our services but also positions us as a leader in the AI ecosystem," he states.

The platform-first model also has implications for Cognizant’s workforce. The company is investing in upskilling its engineers and developers to ensure they have the skills and knowledge required to work effectively in a platform-centric environment. This includes a focus on cloud computing, microservices, and other emerging technologies that are essential for building scalable and adaptable platforms.

In addition to internal changes, Cognizant is also collaborating with its clients to help them adopt a platform-first approach. The company is working with organizations across various industries to assess their current AI capabilities, identify areas for improvement, and develop strategies for scaling AI adoption. By fostering a culture of collaboration and shared learning, Cognizant aims to help its clients overcome the challenges associated with project-centric execution and fully realize the potential of AI.

The shift towards a platform-first operating model is a reflection of Cognizant’s commitment to staying at the forefront of the AI revolution. By rethinking its approach to engineering work and prioritizing consistency, governance, and scalability, the company is well-positioned to deliver innovative AI solutions that meet the evolving needs of its clients. As AI continues to reshape industries and drive digital transformation, Cognizant’s platform-first model will be a key differentiator in the market and a testament to the company’s agility and foresight.