AI-Powered SDLC Acceleration Workshop

Discover how AI can accelerate software delivery across requirements, development, testing, modernization, and migration initiatives

Most organizations are exploring AI, but many teams struggle to move beyond experimentation and apply it consistently across their development processes.

While code generation gets most of the attention, meaningful productivity gains often come from applying AI across the software delivery lifecycle.

Our complimentary workshop is designed to help you identify practical AI opportunities, prioritize high-impact use cases, and determine whether XCentium's 30-in-30 Program is the right fit for your organization.

Improve Team Efficiency by 30% or More in 30 Days

XCentium's 30-in-30 Program helps organizations apply AI across the software delivery lifecycle to improve team efficiency by 30% or more in 30 days.

Rather than focusing on a single AI capability, the program helps teams identify and implement practical AI use cases that accelerate delivery, improve quality, reduce manual effort, and establish a foundation for broader AI adoption.

Common AI SDLC use cases:

Requirements & planning
Accelerate the creation and refinement of delivery requirements.

Business requirements documentation
User story generation
Acceptance criteria creation
Backlog creation and prioritization
Meeting notes to requirements

Development & engineering
Reduce development effort and accelerate implementation.

Code generation
Code modernization
Unit test generation
Code review assistance
Technical documentation

Testing & quality assurance
Improve quality while reducing manual testing effort.

Test case generation
QA automation
Regression testing
Test coverage assessment
Release validation

Modernization & migration
Accelerate platform migrations and application modernization initiatives.

Legacy code analysis
Component discovery
Migration backlog generation
Functional requirement extraction
Migration validation

Design-to-requirements
Bridge the gap between design and implementation.

Figma-to-requirements generation
Design analysis
Component specifications
User flow creation
Implementation planning

Example use case

Creating well-defined tickets is often one of the most time-consuming parts of software delivery.

Business requirements, meeting notes, emails, and other documents all need to be reviewed, interpreted, and translated into structured work items.

In this video, we show how AI can accelerate ticket creation and refinement, helping teams move from requirements to features and user stories faster.

Ready to get started?

Request your complimentary workshop

How the 30-in-30 Program Works

The 30-in-30 Program follows a structured approach designed to identify opportunities, implement AI-enabled workflows, and drive adoption across your team.

Assessment: Review current software delivery processes and identify opportunities to apply AI across the software delivery lifecycle.
Implementation: Deploy and configure AI tools, guardrails, and MCP servers.
Enablement: Provide knowledge transfer and co-development with your team using AI-assisted workflows.
Scale: Optimize, refine, and expand successful practices across teams and projects.