RESULTS
92.3%
enterprise-wide
adoption rate
10 weeks
from start to results
100+
active engineers
35%
reduction in development cycle time
35%
reduction in testing cycle time
Executive Summary
Confronted with unorganized AI tool use that built up technical debt and lacked quality oversight, a leading global consumer goods company collaborated with EPAM to implement AWS Kiro. As a result, the company reduced development and testing cycle time by 35%, while upholding strict enterprise security and governance standards.
SERVICES
- AI-Native Engineering
STRATEGIC PARTNER
- Amazon Web Services (AWS)
INDUSTRY
- Consumer Packaged Goods & Distribution
THE CHALLENGE
Lack of Structure, Governance Impeded Success
A multinational consumer goods enterprise struggled with unstructured AI coding tools that generated code without design or quality controls, accumulating technical debt.
Engineers across multiple product programs used AI tools without structure or governance. Challenges included:
Code was generated without any consistent coding practices.
Unstructured prompt-to-code patterns actively increased technical debt across mission-critical platforms.
Fragmented AI experimentation lacked quality gates, security controls or standardized review processes.
To resolve this structural bottleneck, we collaborated with the company to deploy a governed, spec-driven AI-native development model at enterprise scale using AWS Kiro.
AWS Kiro Supports Improved Governance & Productivity
We partnered with the company to implement AWS Kiro—an AI-powered development environment built on AWS —as a mandatory, governed platform to improve productivity across all development teams.
Spec-Driven Workflows
Custom SDLC Agents
Secure MCP Integration
Key Features
Spec-Driven Task Decomposition: Formalized design specifications broken down into automated implementation steps.
Custom SDLC Agents & Skills: Purpose-built agents covering requirements analysis, tech spec writing and release management.
Jira & Confluence MCP Integration: Secure, federated connectivity enabling automated ticket tracking and documentation sync.
Automated Quality Hooks: Pre-commit and pre-PR validation hooks enforcing strict organizational coding and review standards.
Git-Based Configuration as Code: Agent steering, skills and settings version-controlled in Git with mandatory pull request reviews.
Comprehensive Measurement Framework: Granular tracking of lead time, development cycle time, requirements prep and velocity metrics.
PARTNER WITH US
Accelerate enterprise software delivery and scale AI-native engineering with EPAM.