EPAM AI/Run™.Transform
Simplify AI Adoption and Scale What Works
Many enterprises see AI’s potential—but struggle to integrate it into daily operations. AI/Run.Transform removes that complexity by aligning people, processes and technology through a modular framework that accelerates adoption, ensures accountability and drives measurable outcomes.
With AI/Run™.Transform, you can:
- Operationalize AI at scale with clear governance and delivery models
- Modernize engineering and business processes through automation and agentic workflows
- Measure impact and ROI with transparent KPIs and adoption metrics
- Integrate securely across existing ecosystems using EPAM’s AI-native platforms
Measurable Impact You Can Count On
Enhanced Product Quality
Achieve a 20% boost in product quality with AI-driven testing and automated code reviews for reliable releases.
Accelerated Speed to Market
Deliver solutions 30% faster by leveraging AI-enabled workflows and collaborative engineering across teams.
High-Accuracy Use Cases
Reach over 80% accuracy in critical applications using tailored AI models and contextual learning.
Reduced Delivery Costs
Lower delivery costs by 10% through automation and optimized processes, improving operational efficiency.
Our Approach: A Proven Framework for Enterprise-Wide Transformation
AI/Run.Transform brings together EPAM’s cross-disciplinary expertise in strategy, engineering and delivery to establish an AI-native operating model tailored to your business.
People
Upskill and enable teams to work alongside AI. Empower developers, analysts and business users through AI fluency programs, hands-on enablement and adoption measurement frameworks.
Process
Embed AI into your product and delivery lifecycles. Re-engineer workflows, establish governance and implement measurement systems that ensure AI drives sustained value.
Technology
Unify tools, data and infrastructure. Integrate EPAM’s AI platforms—ELITEA™, CodeMie™ and DIAL™—with leading LLMs and cloud ecosystems to form a secure, scalable AI foundation.
The AI/Run.Transform Journey
Stage 01
Strategy & Readiness
Define AI vision, assess maturity and establish success metrics. Clear roadmap and governance plan.
Stage 02
Pilot & Learn
Launch targeted AI use cases, measure results and refine frameworks. Validated value cases and improved confidence in scaling.
Stage 03
Scale & Institutionalize
Roll out enterprise-wide, aligning teams, data and systems. Sustainable adoption, measurable ROI and AI-native culture.
Success Stories
AI/Run™.Tools
A secure, scalable and customizable enterprise-grade AI orchestration platform that seamlessly integrates with your data and workflows
Open SourceHow It Can Help You:
- Effortlessly integrates LLMs for seamless AI-driven business workflows
- Ensures secure and scalable AI development environments
- Optimizes AI adoption with cloud-agnostic, API-first architecture
- Empowers data ownership with robust governance and SSO integration
AI collaboration platform designed to collect and manage Gen AI related assets and integrate them to our everyday tools and workflows test
How It Can Help You:
- Automate workflows with robust AI-powered virtual agents
- Streamline prompt creation and management for efficiency
- Elevate team collaboration with shared AI workspaces
- Boost development speed via AI-driven IDE integrations
An AI-powered requirements generator developed to integrate seamlessly with JIRA, revolutionizing the way teams approach Requirements Generation, Management and Execution.
Open SourceHow It Can Help You:
- Generates accurate requirements to reduce rework and revisions
- Automates acceptance criteria for faster project kick-offs
- Ensures consistent documentation for seamless team collaboration
- Speeds up workflows by automating repetitive JIRA tasks
Ready to Redefine How You Work with AI?
Latest Updates
Evaluating Six AI Penetration Testing Agents Against Real Applications
May 6, 2026 | 5 min read
Making Data AI-Ready: The Knowledge Foundation for Continuous Data Platform Modernization
March 24, 2026 | 6 min read
Spec-Driven Data Modernization: The AI-Agentic Approach
March 16, 2026 | 6 min read
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