Why AI-native SDLC? Why now?

AI is transforming the software product and feature life cycle, impacting every stage from research and ideation to analysis, building, and learning. It enables both building the right thing and building the thing right.

This impacts how fast businesses and government organizations can move, while navigating pressures of rising complexity, talent scarcity, regulatory demands, and relentless pressure to deliver faster.

Embedding AI across the software development life cycle (SDLC) with human-intent, agentic engineering practices and enterprise governance unlocks:

  • Faster time-to-market and product-market fit
  • Higher quality engineering
  • Lower costs and scalable output without scaling headcount
  • Predictable legacy modernization with reduced risk
  • Standardized delivery excellence across the portfolio

The difference isn't just faster code. It's about more creativity, faster innovation, and business value.

Our approach: Human-led, agent-orchestrated delivery

We help you navigate digital complexity—from accelerating technology change and regulatory demands to escalating cyber risk—by combining strategic vision, industry depth, and advanced artificial intelligence expertise. Our modern engineering capabilities, including spec-driven development, agentic swarms, and a behavioral science–based AI adoption framework, enable rapid innovation with enterprise-grade control and trust.

Our agentic SDLC approach is platform-aware and ecosystem-enabled, orchestrating delivery across partner technologies while maintaining clear human accountability, governance, and compliance.

Accelerate digital products and innovation

AI-native software engineering transformation

How can you best develop and execute an AI-driven SDLC strategy? We create AI transformation roadmaps that define your new operating model, measure success with clear metrics, and transition your teams from standard agile to AI-native development, delivering measurable value in 6 to 12 weeks.

Greenfield AI-accelerated software delivery

To help you deliver higher quality software faster and for less risk, we build greenfield applications with agent-powered DevSecOps from day one—using AI for requirements generation, design, task planning, and iterative delivery.

SaaS SDLC acceleration

Are you experiencing long delivery cycles for Salesforce, Guidewire, or ServiceNow implementations, compounded by resource constraints, inconsistent quality, and testing bottlenecks? We accelerate SaaS platform delivery via AI-powered automation across the SDLC, improving speed and quality while maintaining governance and control.

Business-led value creation (citizen & AI builders)

Do you want your business teams to build solutions and create value without becoming developers—or waiting on IT backlogs? We enable citizen and AI builders to deliver low-risk, short-cycle features, workflows, and lightweight applications. Using AI-assisted low-code platforms with built-in enterprise governance, you can safely scale business-led innovation without increasing central IT capacity.

Modernize and scale with confidence

Legacy modernization

We deliver AI-driven SDLC application modernization that reduces project timelines, minimizes risk through automated code analysis and transformation, and achieves zero-downtime migrations. Our approach is particularly proven in highly regulated finance and government sectors where compliance is critical.

Standardized delivery excellence

We standardize delivery across your portfolio with proven frameworks that eliminate variance, provide cost management controls, and make AI usage repeatable, measurable, and auditable. This ensures consistent quality, clear metrics, and strategic planning visibility across the enterprise.

Build resilient, secure AI operations

AI security and risk management

By embedding responsible AI governance, security, and compliance into every stage of the SDLC—supported by explainable, auditable AI—we enable bold innovation with responsible enterprise risk management. Our governance model spans partner platforms, ensuring strong security wherever AI is deployed.

Intelligent operations and reliability

Are you under pressure to reduce incidents, downtime, and operational costs while improving reliability and the customer experience? We make your systems and teams always-on and self-optimizing through AI-powered monitoring, predictive issue detection, and autonomous remediation—transforming reactive operations into proactive reliability with measurable cost savings.

 

How we have helped organizations achieve faster time to value

Man working at a desk

Accelerated time-to-market for an insurance product in a competitive market

  • 40–50% faster quality engineering and testing cycles
  • Lower delivery costs through reduced manual testing and rework (~35% savings)
  • Improved release predictability and strengthened competitiveness under pricing pressure
  • Scalable delivery model serving clients across adjacent industries
Man working at a computer

Empowering developers with GenAI coaching to boost adoption and productivity

“By leveraging CGI’s GenAI-driven coaching and technical enablement, we accelerated our upgrade delivery cycle by 30–40%, benefiting from expert-led implementation across architecture, tooling, and process.”

-VP of IT and Application Development, Large Manufacturing Company

Plane in the sky

Strengthened market position with AI-assisted modernization and a new strategy

  • Identified key areas for added value to the company’s systems and online store
  • Innovated, implemented solutions that respond to current challenges and anticipate future needs
  • Trained teams with the skills and ability to continually grow 

     

Learn how our multi-layered generative-AI solution accelerated an insurance giant's software delivery.