How CIOs can reinvent software delivery and reduce time to market

AI coding tools are only the start; PDLC shifts teams to product thinking and rewires skills and operating models for modern delivery.

In brief

• AI is already delivering returns, with most leaders reporting gains in productivity, innovation and efficiency that extend into software development.
• The product development lifecycle (PDLC) applies AI orchestration to deliver code, testing, documentation and infrastructure as a unified product.
• Early PDLC efforts often begin with a focused use case, then scale through a center of excellence, with governance built into workflows to manage risk.

Investments in AI are paying off, as organizations across industries report tangible results. The latest EY AI Pulse Survey finds that 97% of senior leaders are seeing positive ROI from AI, including gains in employee productivity (82%), product innovation (80%) and operational efficiencies (79%). 

How a PDLC transformation goes beyond faster time to market

The impact of moving from a project- to product-focused operating model is felt well beyond project timelines. In some cases, PDLC changes decision-making hierarchies. Traditional silos between engineering, design, manufacturing and marketing become more fluid, creating a collaborative “mesh” vs. a sequential workflow.

“As a product manager, engineer, designer or domain expert, you may sit in different organizational structures, but you have to work across functional boundaries effectively to be successful,” says Malhotra. 

Skills will also need to evolve as AI takes over traditional code-writing tasks.

“Programming is a solved problem with AI,” says Malhotra. “The smartest engineers in the world know they don’t need to write code anymore.” Instead, he says, engineers will take on more of a product manager type of role, focused on ideation, intent and outcomes.

“That’s clearly where the value lies,” Malhotra adds. “We’re seeing a new era of full-stack engineers who operate with a lot of cross-functional versatility.”

Consider these three steps to begin a PDLC transformation

Unlike traditional project-led software development, which involves lengthy planning cycles and discrete budget, a PDLC framework lends itself to continuously iterating, evolving and nurturing products and services. And despite some of the broader cultural and organizational challenges, Malhotra maintains it’s relatively easy to get started on the PDLC journey. Consider these three steps: 

1. Start with a small team and a real-world problem that needs solving. Use PDLC methodologies to quickly create a prototype and then iterate until you achieve a tangible business outcome that gets people’s attention. “Don't invent a fictitious challenge to point the PDLC at,” says Malhotra. “Use something that can really move the needle and build credibility with the rest of the organization.” 
2. With a successful proof of concept in hand, build a center of excellence to scale the operating model. Here, teams will define key performance indicators and expected results. “The conversation generally starts with cost savings and efficiency, where you can see dramatic improvements,” says Malhotra. “From there, you can move on to define what better software looks like.” 
3. Define the guardrails for the new operating model. The ability to build virtually any software product quickly is a significant benefit, but it also carries outsized risk. So, it’s important to be judicious about what you build and how you build it. In addition, risk controls and other governance policies should be embedded in PDLC workflows — including the large language models that fuel the programming process — to help drive compliance. “There’s a big opportunity to fully automate governance as part of the SDLC process, as opposed to something you add after you build,” says Malhotra. 

How PDLC can change your organization’s culture

AI-native software development is fundamentally reshaping how organizations design, build and deliver products. The immediate benefit is speed: Reducing product cycles provides an obvious go-to-market advantage against competitors still using traditional SDLC methods. 

But moving from SDLC to a PDLC model is more than just a process improvement. It’s also a catalyst for new ways of thinking and working, helping to create a product culture focused less on deploying code and more on delivering compelling experiences to both internal and external customers. 

“PDLC allows you to build precision software that’s customized for every business unit, for every team, and caters to how users actually work,” says Malhotra. 

It also opens the door to the art of the possible. By combining advanced AI with proven product methodologies, PDLC can help transform traditional processes, reshape roles and create a more productive environment for innovation.

“If you could build anything instantly tomorrow, what would you build?” Malhotra asks. “It’s actually a hard question for leadership teams to answer. But that’s where you create durable competitive advantage.” 

This article was originally published on CIO.com.