ELITEA AI workflow automation tool
ELITEA
Solution Overview
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Customer Problem
The problem revolves around inefficiencies, high costs, and time-consuming processes across the software delivery lifecycle (SDLC). Teams spend significant effort on routine activities (analysis, implementation support, test design and execution, reporting, and documentation), while knowledge remains fragmented across tools and conversations. Limited integration between corporate systems and inconsistent collaboration patterns further slow down delivery and make it difficult to scale automation in a controlled, secure way.
Scale and Impact of the Problem:
The scale of this problem is significant, affecting small teams and large enterprises alike. The impact includes delayed releases, increased operational costs, and suboptimal use of skilled engineers and analysts for repetitive work. Over time, this reduces the ability to respond quickly to change, maintain quality at speed, and drive innovation.
EPAM Solution
As an AI workflow automation platform, ELITEA helps you automate and optimize work across requirements analysis, development, testing, knowledge discovery, data handling, and cross-team collaboration. With Agents and Pipelines, you can build repeatable workflows that use the right tools and models for each step. With Indexing, you can ground AI outputs in your project knowledge through semantic and summarized search. With MCP and Toolkits, you can connect ELITEA to corporate systems and external services, while Credentials help you manage access securely at the project level.
Customers can leverage ELITEA in several ways:
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For individual use and experiments: Create personal agents, run workflows in chat, and index relevant content to improve answer quality and reduce repetitive work.
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For teams: Use shared projects to standardize agents and pipelines, reuse artifacts, and connect team toolkits and MCP integrations with controlled access.
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For enterprises: Scale automation patterns across multiple teams and projects with governed building blocks, consistent integrations, and monitoring of usage and operational signals.
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Through managed services: Engage expert support for enablement, implementation, and adoption—tailored to your organization’s tooling, processes, and security requirements.
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Key Differentiators
Integrated Multi-agent Collaboration
Work with multiple agents and human participants in the same chat, while keeping workflows traceable and easy to iterate
Governed Automation Building Blocks
Design reusable 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
Knowledge-Grounded AI with Indexing
Index and search your content to keep responses aligned with project context
Open Integrations via MCP
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 Artifacts
Work together in chat and produce reusable artifacts you can refine and share
Flexible Model Choice
Use multiple LLMs to match various use cases, quality needs, and cost limits
Features
- Agents: 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
- Chat & Canvas: Collaborate in an AI workspace where you can run agents and pipelines, review tool activity, and iterate on outputs
- Artifacts: Store, download, and reuse generated files across conversations and automated 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 agents, pipelines, and chat can access
- Toolkits & Credentials: Integrate with external systems and manage authentication centrally at the project level
- Monitoring: Track platform usage and operational signals to understand adoption and troubleshoot workflow performance
- Portability (Import/Export): Move and reuse agents and pipelines across projects or environments through export and guided import
- ELITEA SDK: Extend ELITEA's functionality, integrate with external toolkits and services
Use Cases
Optimizing Test Suite Efficiency for a Financial Services Provider
Problem Statement
A financial services provider was facing challenges with an extensive and time-consuming regression testing process. The existing test suite was bloated with redundant test cases, leading to longer test cycles and delayed product releases
Solution Proposed
The solution involved utilizing ELITEA's AI capabilities to analyze the existing test cases and identify duplicates and overlaps. By integrating this AI workflow automation tool with the client's test management tools, we could automate the deduplication process and optimize the test suite for efficiency.
Achieved results
The optimized test suite reduced the regression testing time by 40%, allowing for quicker feedback loops and faster time-to-market for new features. The client also benefited from a more streamlined testing process with a focus on high-impact test cases, leading to improved software quality and reliability.
Enhancing Software Development Lifecycle for a Retail E-commerce Platform
Problem Statement
An e-commerce platform was struggling with slow feature development cycles due to inefficient collaboration between developers, testers, and product managers. The manual creation of test cases from user stories was a significant bottleneck.
Solution Proposed
We implemented ELITEA's AI agents to facilitate the automatic generation of test cases from user stories and requirements. The solution also provided AI-generated suggestions for Behavior-Driven Development (BDD) implementation, improving the collaboration between cross-functional teams.
Achieved results
The introduction of AI-assisted test case generation led to a 30% increase in the speed of test creation, with a corresponding improvement in the alignment between test cases and user expectations. The overall feature development cycle was shortened, leading to a more agile and responsive development process.
Questions & Answers
What are the differences between ELITEA and AI DIAL?
ELITEA is a comprehensive AI collaboration platform that specializes in prompt management, datasource integration, and the creation of AI agents for task automation, while EPAM AI DIAL focuses on AI orchestration and conversational interactions within enterprises, offering a ChatGPT-like experience and project management tools. Both platforms serve distinct purposes but can be used together for enhanced AI-driven workflows.
What are ELITEA Agents?
ELITEA Agents are AI-powered virtual assistants that automate tasks and workflows by combining prompts, data sources, and external toolkits into a unified system
What toolkits are available for ELITEA Agents?
Toolkits such as Prompt, Datasource, OpenAPI, Browser, Confluence, GitHub, GitLab, Jira and many other are available to enhance the capabilities of your ELITEA Agents
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Integrates with
Visual Studio Code (VSCode)
IntelliJ IDEA
Slack
QTest
TestRail
GitHub
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Tech Requirements
- K8s cluster (GKE, AKS or self-hosted) or SSD-enabled VM
- Min requirements for 200 Users: 8 CPU, 64 GB Ram, 500GB SSD
- VM or k8s cluster should have access to the client's LLM API(s) as well as external resources for datasources (git, Jira, Confluence, Test Management systems etc.)
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