AI-Powered SDLC Acceleration Workshop
Improve productivity across your development lifecycle using AI
Most organizations are using AI in development, but workflows are fragmented and results are inconsistent.
Most teams focus on using AI to write code faster. That is only part of the opportunity.
A lot of delays happen outside of coding. Work gets stuck in how requirements are defined, how tickets are created, and how work moves between teams. QA often finds issues late, leading to rework and slower delivery.
Improving how work flows across your SDLC is where AI delivers the most impact.

The 30-in-30 Program
XCentium’s 30-in-30 program applies AI across your development lifecycle to improve team efficiency by 30% or more in 30 days.
The program focuses on three areas:
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Requirements: ticket creation & refinement
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Development: code generation & review
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Testing: QA automation
How We Help You Get Started
How the program is structured
To get started, we begin with a focused assessment to understand how your current workflow operates and where AI can improve it.
Assessment
Review current SDLC and identify AI opportunities
Define tools and success criteria
Implementation
Deploy and configure AI tools, guardrails, and MCP servers
Enablement
Knowledge transfer and co-development with your team using AI workflows
Scale
Optimize, refine, and scale across teams and projects
How We Help You Get Started
What's included
This assessment evaluates how work moves across your development lifecycle.
Review of how work flows across requirements, development, and QA
Assessment of how business needs are translated into tickets
Evaluation of development workflows, handoffs, and dependencies
Analysis of QA processes and where issues are identified late
Identification of bottlenecks, rework, and inefficiencies
Recommendations for applying AI to improve how work moves across teams
Outcomes
A clear SDLC acceleration roadmap with prioritized recommendations and workflow improvements aligned to your environment
Clear visibility into where AI can deliver meaningful impact
Tooling suggestions that align with company AI policies
Defined success criteria for AI-enabled workflows
A candidate project to apply the 30-in-30 program
Program timeline and estimated impact

Request your AI-powered SDLC acceleration workshop

Kevin Melendez
Technical Director, Sitecore Practice