Most teams already use AI tools. But without a structured approach, AI becomes just another tab open in the background — used differently by every developer, unmeasured, and disconnected from how work actually flows.
At AVS Solutions, we don’t add AI on top of your existing process. We redesign your software development lifecycle with AI built into every stage — from how requirements are written and reviewed, through development and code review, to testing and deployment.
The result: the same team, working with the same tools, delivering faster, with fewer errors and a consistent standard across every sprint with our AI SDLC Transformation programme.
DOES YOUR TEAM RECOGNIZE ANY OF THESE?
- Tasks arrive without clear acceptance criteria — developers can’t start without asking multiple questions
- Every developer has their own workflow — no shared standard across the team
- Pull request cycles drag on due to slow, inconsistent code review
- AI tools are installed but used individually, without guidelines or measurable impact
- Test coverage is uneven and manually managed
- Deployments are repetitive, manual, and error-prone
BUYING AI TOOLS IS NOT THE SAME AS TRANSFORMING THE WAY YOUR TEAM WORKS.
Most companies that “adopt AI” don’t see measurable improvement — because they layer tools on top of existing processes without changing how work actually flows. Developers use AI differently, there are no shared standards, and there’s no before-and-after measurement.
We take a different approach: we don’t add AI on top of your SDLC. We redesign your SDLC with AI built into every step — requirements, development, code review, testing, and deployment. Same team, same tools, entirely new way of working.
A STRUCTURED ENGAGEMENT. TRANSPARENT VALUE.
Discovery
We start by understanding your current state. Through structured interviews across all key roles — developers, QA, DevOps, delivery managers, tech leads — we map your existing workflow, assess AI readiness and maturity, and identify where the biggest gains are available. You receive an AI Readiness Report with a maturity score and prioritized recommendations.
This phase can stand alone if your team needs clarity before committing to a full transformation.
Transformation
Working in pair-programming mode alongside your team, on your real tickets and real code, we redesign each stage of your SDLC with AI integration: from how requirements are written and reviewed, through development and code review, to testing and CI/CD. We define AI usage standards for your team and configure everything within your existing toolchain — GitHub, GitLab, Azure DevOps, Jira, Confluence, CI/CD pipelines.
Enablement
We close the engagement with role-specific training, prompt engineering practice, and the establishment of baseline KPIs. Your team leaves with an AI-powered workflow they can apply independently from day one — and the metrics to measure progress going forward.
WHAT YOU RECEIVE?
The client does not receive recommendations — they receive a fully functional, AI-powered development workflow, ready for use in daily work.
Implemented processes and standards
- A defined and improved development process across all key phases
- Standardized guidelines for task creation and acceptance criteria
- A branching and Pull Request workflow tailored to the team
- Configured or improved processes within existing tools and systems
AI materials and tooling
- Custom AI prompts and styles for every stage of the development cycle
- Recommendations for AI tool usage by role (developer, QA, PM)
Knowledge and capabilities
- Trained team members who can apply and expand the new way of working
- Live demonstration on real examples from the company
- A final review of completed activities and recommendations for continued adoption
This is not a generic training program.
It’s a hands-on transformation of your actual processes, with your actual team.
RESULTS YOU CAN EXPECT
Based on previous implementations, teams that adopt a structured AI workflow typically report the following improvements:
WHY US?
Practitioners who deliver. Not consultants who advise.
Our methodology is built from real software delivery experience — not academic frameworks. We work embedded in your team, not above it. Every role is trained differently: developers, QA engineers, DevOps, delivery managers, and leadership each get what they need. And because we set a baseline before we start, you see the ROI.
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