ELITEA AI workflow automation tool
ELITEA
Solution Overview
ELITEA is a platform that helps enterprises build an effective system for developing, managing and collaborating on Large Language Model (LLM) assets. It transforms how teams and organizations work with generative AI technology by providing an accessible, user-friendly environment for creating and deploying AI solutions.
As an AI-based collaboration and workflow automation platform, ELITEA helps you optimize work across requirements analysis, development, testing, knowledge discovery and data handling, while strengthening cross-team collaboration and mutual growth. ELITEA reduces the workload on your team members by turning repetitive tasks into repeatable, governed AI-powered processes, freeing their time and expertise for more complex, higher-value work.
Customer Problem
Both small teams and large enterprises suffer from the same problems:
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Most processes across the software delivery lifecycle (SDLC) are inefficient and cost too much effort, time and money.
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Delivery is slow and inconsistent while operational costs grow.
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Project teams are overwhelmed with mundane routine tasks, leaving skilled engineers and analysts with no time for innovation or strategic development.
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Cross-team collaboration is insufficient to support the knowledge sharing and mutual growth teams need.
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Knowledge remains fragmented across teams, tools and conversations.
EPAM Solution
ELITEA creates an intuitive, user-friendly collaborative environment where team members at all organizational levels — from non-technical business users to experienced developers — can work together on automating and optimizing their operational processes and everyday activities related to data analysis, implementation support, test design and execution, documentation and reporting:
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Agents, skills and pipelines follow consistent steps, use the right tools and produce responses you can reuse across projects and teams.
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Multi-participant and multi-access chats, along with shareable artifacts, strengthen collaboration within and across teams.
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Integrated agent, pipeline and skill builders remove barriers to entry for team members with limited AI experience, helping them overcome reluctance and skepticism.
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Indexing transforms internal knowledge (documentation, tickets, test assets, or stored files) into searchable context.
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Toolkits and credentials securely connect the platform to the systems you already use, while keeping access controlled at the project level.
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Integration through MCP (Model Context Protocol) extends automation beyond ELITEA by connecting external tools — such as developer utilities or enterprise SaaS platforms — and making them available to ELITEA chats, agents and pipelines.
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In-depth analytics provide clear, visual token tracking and cost monitoring, helping you use LLM resources efficiently and control project costs.
Customers can use ELITEA in several ways:
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For personal use and experiments: Create your agents, run workflows in chat and index relevant content to improve answer quality and reduce repetitive work.
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For teams: Use team projects to share agents and pipelines, reuse skills and artifacts and connect team toolkits and MCP integrations with controlled access.
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For enterprises: Scale automation patterns across teams and projects with governed building blocks, consistent integrations and usage monitoring.
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Through managed services: Engage expert support to tailor ELITEA solutions to your organization’s processes, tools and security requirements.
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Key Differentiators
Multi-agent collaboration
Work with multiple agents and human participants in the same chat, while keeping workflows traceable and maintainable
Governed automation building blocks
Design reusable skills, agents and pipelines with consistent behavior, versioning and cross-project portability
Open ecosystem via MCP
Connect local or remote tools via MCP for use in chat, agents and pipelines; IDE integration is optional
Benefits
Streamlined workflow Automation
Build repeatable processes with agents and pipelines instead of one-off AI runs
Indexing to secure knowledge-grounded AI responses
Index and search your content to keep responses aligned with project context
Open Integrations with external tools
Connect tools via MCP for use in chat, agents and pipelines
Secure tool and data connectivity
Manage toolkits and credentials to control project access to connected systems
Collaborative chat and shared artifacts
Work together in chats and produce artifacts you can reuse, refine and share
Flexible model choice
Use multiple LLMs to match your use cases, quality needs and cost limits
Features
- Chat and canvas: Work and collaborate in an AI workspace where you can create, edit and run agents, skills and pipelines, review tool activity and iterate on outputs
- Agents and skills: Create AI assistants that follow instructions, use connected tools and complete repeatable tasks
- Pipelines: Design visual workflows to orchestrate multi-step automation with decisions, handoffs and tool usage
- Artifacts: Store, download, reuse and share generated files across teams, chats and workflows
- Indexing: Turn documents and connected knowledge sources into searchable indexes for semantic and summarized retrieval
- MCP (local and remote): Connect ELITEA to external MCP servers to safely extend what chats, agents and pipelines can access
- Toolkits and credentials: Integrate with external systems and manage authentication centrally at the project level
- Monitoring: Track platform usage to understand and regulate personal and project expenses
- Portability: Move, share and reuse agents and pipelines across projects or environments
- ELITEA SDK: Extend ELITEA's functionality, integrate with external toolkits and services
Use Cases
Improving support request handling for a telecommunications operator
Problem Statement
Customer Service team of a telecommunications operator was overwhelmed with the number of support requests and faced high levels of customer dissatisfaction because of too slow responses.
Solution Proposed
We developed custom GenAI Agents and Assistants and integrated them into the client's support system. These AI agents were trained to handle and triage support requests, provide Q&A using specific terms and relevant data and escalate complex issues to human agents.
Achieved results
Average customer satisfaction score grew from 2.8 to 4.35 due to quicker responses. Workload on human agents was reduced by 53%, allowing them to focus on more complex and high-value interactions.
Optimizing test suite for a financial services provider
Problem Statement
A financial services provider suffered from an expensive and time-consuming regression testing process. The existing test suite included many redundant test cases which caused longer test cycles and delayed product releases.
Solution Proposed
We used ELITEA's AI capabilities to analyze the existing test cases, identify and remove duplicates and overlaps and optimize the test suite for efficiency.
Achieved results
Regression testing time was reduced by 38%. The client obtained an optimized test suite with a focus on high-impact test cases and quicker feedback loops that reduced time-to-market for new features.
Enhancing software development lifecycle for a retail e-commerce platform
Problem Statement
An e-commerce platform struggled with slow feature development cycles due to poor cross-team collaboration and manual creation of test cases.
Solution Proposed
We implemented ELITEA's AI agents for generating test cases from user stories and customer requirements. We also suggested AI-based managing tools to implement Behavior-Driven Development (BDD) and improve the collaboration between cross-functional teams.
Achieved results
AI-assisted generation increased the speed of test creation by 31%. The overall feature development cycle was shortened, leading to a more agile and responsive development process.
Accelerating test automation for a healthcare software provider
Problem Statement
A healthcare software provider needed to shorten their automated testing cycle to ensure compliance with industry regulations.
Solution Proposed
We used ELITEA's AI-powered capabilities to automate the generation of test automation scripts (including unit tests, integration tests and end-to-end automated tests tailored to the healthcare domain).
Achieved results
Time required to develop and maintain test scripts was reduced by 33,5%. The customer achieved higher test coverage (to comply with industry standards) and freed up their QA team to focus on exploratory testing and other high-value activities.
Additional Information
Questions & Answers
What is ELITEA?
Who is it designed for? Do I need coding experience to work with ELITEA?
What are ELITEA agents?
Does ELITEA support skills?
Does ELITEA support multi-agent workflows?
How is ELITEA different from EPAM AI DIAL?
How do I get access to ELITEA?
Can I connect to other tools/platforms (GitHub, Jira, Confluence)?
Can I import agents/skills from other platforms?
How do I share agents/skills with my team?
Which LLM models can I use in ELITEA?
Does ELITEA use my data to train models?
Does ELITEA have usage limits for LLMs?
How can I track my token usage?
Integrates with
Visual Studio Code
SQL
Bitbucket
GitHub
GitLab
QTest
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Tech Requirements
- K8s cluster (GKE, AKS or self-hosted) or SSD-enabled VM
- Minimal requirements for 200 Users: 8 CPU, 64 GB RAM, 500GB SSD
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