CGI Australia: AI-DLC Discovery Workshop – AI-Driven Software Delivery
CGI Inc. · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 3 captures on record
What the publisher says
As described on AWS Marketplace.
The CGI AI-DLC Discovery Workshop is a half-day, facilitator-led session designed for CIOs, CTOs, VP Engineering, and Heads of Development who want to move from AI curiosity to a concrete adoption plan. Legacy toolchains, inconsistent automation, and rising customer expectations are putting pressure on delivery teams — this workshop gives leadership a structured forum to align ambition, identify high-value opportunities, and define the guardrails needed to scale responsibly.
The session covers four areas: aligning leadership on the ambition for AI-driven software delivery; identifying where AI can accelerate the SDLC across design, code, test, release, and operations; prioritising high-impact use cases across development, QA, DevSecOps, and architecture; and defining guardrails for responsible, secure AI adoption. Participants bring their current SDLC maturity data (DORA metrics, cycle times, quality issues), toolchain overview, and customer insight. CGI facilitators bring the AI-DLC framework, Spec Factory accelerator tooling, the Application Rejuvenation Suite for legacy modernisation, and cross-industry case study evidence. AWS services used include AWS Bedrock and/or Kiro.
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CGI has applied the AI-DLC framework to its own SDLC since 2023 across 20 global programs, delivering 20–40% sustained productivity improvement, 50–55% faster delivery of reusable platform code, and 20–30% quality improvement through AI-assisted reviews and early defect detection. Client engagements have achieved 30–40% faster code migration cycles, 45% reduction in test case preparation time, and analysis time compressed from months to hours on undocumented legacy systems. The workshop distils this experience into an actionable half-day engagement, with deliverables including a prioritised list of AI-driven SDLC use cases, identified quick wins and strategic platform investments, and agreed governance and risk considerations for scaling safely.
Highlights
Highlighted by the publisher on AWS Marketplace.
Align your leadership team on a concrete AI-driven SDLC strategy in a single half-day session — walk away with prioritised use cases mapped to business goals and a 0–90 day quick-win roadmap, backed by CGI's experience delivering 20–40% sustained productivity improvement across 20 global programs.
Identify where AI accelerates every phase of your SDLC — design, code, test, release, and operations — using CGI's proven AI-DLC framework, Spec Factory tooling, and Application Rejuvenation Suite that have delivered 50–55% faster reusable platform code delivery and 30–40% faster legacy migration cycles.
Define governance guardrails for responsible AI adoption with CGI's five-layer agentic engineering framework — covering logic, quality, security, alignment, and operations — ensuring your organisation scales AI safely with policy-as-code controls and human-in-the-loop oversight built in from day one.
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