Frequently Asked Questions About EltegraAI

A platform for end-to-end product management in the AI era.

We build a living knowledge graph of your enterprise software, every business rule, dependency, decision path, and data flow, then turn that graph into the specification your teams build, modernize, and govern against.

Most tools translate code. We specify the system first.

3 main use cases in one platform:

• Legacy Modernization: extract the specification from legacy systems before any rewrite begins.

• End-to-End Product Management: turn briefs, transcripts, and existing documentation into structured requirements, traceable code, and documentation that stays current as the system evolves.

• Autonomous Development: Intent in, governed code out — 8 coordinated AI agents working from the same knowledge graph.

Both. The knowledge graph ingests legacy code, existing documentation, BRDs, PRDs, RFPs, meeting transcripts, and SME knowledge captured through the platform.

Whether the system has been in production for 20 years or 20 days, the graph treats it the same way, as a source of truth that downstream agents build against.

BRDs, PRDs, user stories, acceptance criteria, test cases, dependency maps, compliance evidence, code documentation, and generated source code in your target stack.

Plus an ELTAA chatbot interface that lets engineers query the system in natural language and get answers grounded in the actual code.

Every output traces back to the same knowledge graph. Nothing is invented and everything connects to a verifiable source.

AI coding agents reason from syntax. When the business logic isn't written down, they guess, and produce code that compiles but doesn't behave like the original system.

EltegraAI extracts the logic first and feeds it to your AI agent through MCP.

The agent gets the architecture-aware context it needs to generate code that matches the actual system. Hallucinations stop and your existing AI tools become useful inside the enterprise instead of dangerous.

EltegraAI can work alongside existing tools and processes through APIs and integrations. Teams typically use it together with Jira, documentation systems, development workflows, and QA processes rather than replacing everything they already use.

You keep what works and the platform adds the context layer underneath.

Yes. EltegraAI supports cloud and on-premise deployment depending on your security and data residency requirements.

Access is controlled, every output is traceable back to its source, and compliance evidence is produced automatically as the platform runs, so audits draw from verified system knowledge instead of reconstructed guesswork.

Book a demo.

We'll walk through the platform against your system, your use case, and your team's setup, and map out what working with EltegraAI looks like from there.