Frequently Asked Questions About
EltegraAI AI product management Agent

EltegraAI is an industry-first AI-powered product agent that addresses the root cause of software development failures - poor requirements. Our agent uses proprietary AI technology trained on industry knowledge to generate comprehensive, code-ready requirements and exhaustive test cases and validation suits that reduce development cycles and costs.

Unlike generic Gen AI tools that provide superficial requirements like those generated by a junior BA, EltegraAI is trained on industry-specific knowledge, regulations, and best practices. We don't just use GenAI via API as most competitors do; we train our own model based on extensive industry data collected across domains like fintech, retail, healthcare, and enterprise software. EltegraAI is a senior subject matter expert who knows what should be part of compliant and reliable software.

EltegraAI has no industry limitations; we need extra time to train our model for the below-mentioned industries.

• Financial Services (banking, loans, insurance, etc.)

• Healthcare (clinical, diagnostic, medicine/pharmaceuticals)

• Marketing (event management, lead marketing, etc.)

• Retail

• Automotive

• Manufacturing

More industries are in our development pipeline. We need approximately 48 hours to train our model with new industry knowledge.

EltegraAI works in three simple steps:

1. Describe the project - Share your business idea or requirements through our conversational interface

2. Generate requirements - Our AI analyzes your input and industry context to create comprehensive requirements

3. Generate test cases - The agent automatically creates exhaustive test cases linked to each requirement

EltegraAI can generate:

• Business Requirements Documents (BRDs)

• Product Requirements Documents (PRDs)

• Request for Proposal (RFP) documents

• Comprehensive test cases and validation suites

• Code-ready specifications for AI coding co-pilots

Yes, one of EltegraAI's key features is identifying missing requirements that humans might overlook. The system suggests critical requirements based on industry best practices, compliance standards, and security needs that might not have been considered.

EltegraAI uses Retrieval-augmented generation (RAG), a technique for enhancing the accuracy and reliability of generative AI models with information from specific and relevant data sources. We've developed our own AI agent that helps humans engineer proper business, technical, compliance, and security requirements.

EltegraAI's architecture consists of several integrated components working together in an isolated cloud tenant:

1. Layer:

   • Chatbot - An intelligent interface that guides users through the requirements generation process

   • Analytics & Reporting - Provides insights and metrics on requirements quality and completeness

   • API - Enables integration with existing development tools and workflows

2. AI Core:

   • LLM (Large Language Model) - Proprietary language model fine-tuned for requirements engineering

   • Industry Knowledge Base - Domain-specific expertise for finance, healthcare, retail, and other industries

   • ML Project Model - Dynamic machine learning model that adapts to your specific product context

3. User Roles Integration:

   • Product Manager - Product Manager who is responsible for a product development

   • Business Analyst - Business Analyst who defines high-level business needs

   • QA Analyst - Quality assurance specialists who validate requirements and test cases

   • Development Lead - Technical leaders who implement the generated requirements

4. Output Processing:

   • Requirements Generator - Creates structured, compliant requirements documentation

   • Testing - Builds comprehensive test cases linked to requirements

   • Workload estimation - provides estimation of developers hours needed to implement requirement to simplify your decision making

This architecture enables a seamless flow from conversational descriptions through industry-aware processing to comprehensive documentation and test cases, all while maintaining security in an isolated tenant environment.

EltegraAI can be deployed both in the cloud and on-premise, depending on your organization's needs and security requirements.

We provide enterprise-grade security. For organizations concerned about data privacy, we offer isolated cloud tenants where your data remains private. We don't store our clients' data and don't use it to train our model. You can also deploy EltegraAI on-premise to take full control of your data.

EltegraAI offers flexible deployment options:

1. Isolated Cloud Tenant - A dedicated secure environment in our cloud infrastructure where your instance of EltegraAI runs independently from other customers. This ensures:

   • Complete data separation

   • Customized security policies

   • Dedicated computational resources

   • Consistent performance

2. On-Premise Installation - For organizations with stricter security requirements, EltegraAI can be deployed within your own infrastructure:

   • Operates behind your firewall

   • Adheres to your existing security protocols

   • Full control over model updates and training

Both deployment methods support the complete EltegraAI workflow from input processing (conversational description, existing documents) through industry knowledge application to output generation (requirements, test cases).

EltegraAI integrates with your existing DevOps toolchain including:

• Jira

• GitHub

• Test automation platforms

• Enterprise stacks

The agent acts as a central hub in your development ecosystem, connecting business inputs to development and QA outputs through standardized APIs and pre-built connectors. This enables seamless flow of requirements and test cases throughout your development lifecycle, from initial concept through production deployment.

Yes, EltegraAI works with both:

New Products: Generates requirements and test cases based on industry knowledge via an intelligent chatbot, ensuring that all common practices, regulatory, and compliance requirements are covered from the start.

Existing Products: Helps validate new requirements based on customer needs or regulations vs. what was implemented in existing products, and helps create a comprehensive product knowledge base to reduce dependency on staff turnover.

Organizations implementing EltegraAI typically experience:

• 30% faster development cycles

• 35% reduction in QA expenses

• 20% decrease in maintenance costs

• 2x shorter review cycles

• Up to 30% more time for innovation rather than requirement clarification

• Improved compliance and reduced regulatory risk

• Better cross-team collaboration and faster onboarding of new team members

While no system can guarantee 100% accuracy, EltegraAI empowers your product management team and business analysts with more industry knowledge than most senior solution architects possess. Our algorithm acts as an AI agent and guides human decision-making with clarifying questions to minimize critical oversights. We estimate we can ensure 95% quality at this point, which significantly reduces errors that could lead to revenue drops and reputational losses during production.

Decision-making will still be required at some points, but it's much easier to make a decision when you are provided with industry best practices that should be part of your software. Our AI agent leads users through a smart interviewing process to build complete requirements, with humans making the final decisions about what requirements to implement.

You don't need to provide any data to start using EltegraAI. Simply describe the feature, application, integration, or system you want to develop. Our agent will guide you through all aspects of the software to ensure best practices, compliance, regulations, standards, and cybersecurity integrations are considered.

We understand that every company has its own special way of running a business. EltegraAI can be customized with your organization's data to create a "digital twin" of your software, which makes onboarding, audits, and processes easier and less time-consuming. The more relevant data your isolated tenant has, the more business specifics will be taken into account.

Our algorithm transforms industry knowledge into a set of smartly interconnected questions to guide human developers, business analysts, and managers to consider all possible risks: data protection, regulation & compliance, fraud cases, industry standards, etc. We generate tests based on requirements to ensure everything works properly.

We've embedded regulatory requirements into the requirements development process, understanding that regulations evolve over time. Our algorithm can be updated and trained with new regulatory updates and industry knowledge to stay current.

Our agent leads humans in generating accurate requirements that cover potential risks through guided Q&A sessions. The key difference is that the process is led by an AI agent who embodies comprehensive industry knowledge in software development. Humans make the final decisions about what requirements to implement, maintaining appropriate oversight.

Unlike Application Lifecycle Management (ALM) tools, EltegraAI doesn't just manage requirements - it generates them with a Senior Subject Matter expert quality. Traditional tools require humans to create requirements, which EltegraAI supplements with AI-driven expertise. We focus on requirements quality at the source, eliminating the errors and omissions that plague even well-managed requirements systems. EltegraAI can work alongside your existing ALM tools, enhancing their value by populating them with higher-quality, more comprehensive requirements.

Coding copilots focus on coding assistance and unit-level testing, while EltegraAI works at a higher level - the requirements that determine what to build in the first place. EltegraAI doesn't focus on tests only; tests are rooted in requirements. This fixes issues much earlier in the development lifecycle, when the cost of a mistake is up to 15 times less (based on the Rule of 10, which states that the cost of fixing a defect increases exponentially at each stage of development).

EltegraAI generates code-ready requirements for copilots and AI-coding assistants.

General AI can generate requirements and BRDs, but the results are superficial, similar to what a junior BA might produce. EltegraAI is a senior subject matter expert with deep domain knowledge. Our key advantages include:

1. Industry-trained model - We're the only solution with AI specifically trained on industry knowledge

2. AI-driven vs. human-driven - Our system leads the requirements process, not just responding to queries

3. Industry context understanding - Deep knowledge of specific domains like finance, healthcare, etc.

4. Consistent quality - Predictable, high-quality output across all requirements

5. Compliance expertise - Built-in regulatory knowledge that generic AI lacks

6. Test case generation - Comprehensive test coverage based on industry knowledge

General AI might help with common-sense requirements, but it lacks the specialized industry knowledge and compliance understanding that EltegraAI provides.