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Sanciti RGEN

The agentic AI assistant that turns code into structured requirements

Most requirements live in developers’ heads, buried in legacy code, or scattered across meeting notes and Jira backlogs. RGEN extracts them automatically. It reads your codebase, documents, and conversations, then delivers structured BRDs, use cases, and test cases with full traceability. No manual tracing. No guesswork.

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Faster requirements capture

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Structured output types

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Traceability from source to story

How it works

From raw inputs to audit-ready documentation, an agentic AI requirements assistant at work

RGEN ingests legacy code, technical documents, meeting minutes, and Jira stories, then delivers eight structured output types: executive summaries, explicit and implicit specifications with source content, object-level traceability, BRDs, auto-classification across functional, non-functional, and technical categories, Jira-ready stories, SDLC traceability maps, and real-time dashboards. This is AI use case generation and AI test case generation working as a unified agentic requirement generator.

  • Concise executive summaries with key decisions and action items
  • Business Rules Documents with full specification lineage
  • Auto-classification: functional, non-functional, technical
  • Jira-ready epics, user stories, and acceptance criteria
  • SDLC traceability and real-time dashboards
  • AI use case generation with diagrams and sequence flows
  • AI test case generation linked to source specifications

Inputs

Legacy code · documents · meeting minutes · Jira stories

AI-Powered Requirements Extraction

Extract, categorize, and map to projects

Structured Outputs

BRD · stories · traceability · dashboards

Capabilities

An agentic AI requirements assistant that transforms code into governed documentation

AI-Powered Requirements Extraction

Identifies explicit and implicit requirements directly from source code, producing audit-ready artifacts with full source-to-requirement traceability.

AI Use Case Generation

Translates code behavior into structured use cases and sequence diagrams that bridge engineering intent with business requirements.

AI Test Case Generation

Creates automated test cases linked to code and requirements for full traceability and QA efficiency.

Organization Memory

Retains knowledge of your codebase, naming conventions, and domain terminology, improving extraction accuracy with every engagement.

Use cases

Whether you're modernizing or building new, this agentic AI assistant starts from what exists

  • Reduce documentation overhead by up to 60%
  • Improve traceability and test coverage across every specification
  • Accelerate onboarding and peer reviews
  • Stay audit-ready with minimal manual effort
1

Legacy Modernization

Reverse-engineer undocumented systems into structured requirements before a single line of new code is written.
2

Greenfield Development

Generate BRDs, user stories, and acceptance criteria from stakeholder conversations and design documents.
3

Compliance & Audit

Produce audit-grade traceability from requirement to commit to test to release.

Works with your existing tools

RGEN integrates with GitHub, GitLab, JIRA, SharePoint, Confluence, and your CI/CD pipelines. Deploy within existing workflows with no process disruption, immediate insight.

Agent Pipeline

Part of the Sanciti AI pipeline

RGEN is the starting point. Every downstream agent builds on the structured specifications and business rules it produces.

Understand: RGEN

Extracts and structures requirements from any source

Build: CodeGen

Generates secure, story-aligned code from RGEN output

Validate: TestAI

Runs autonomous tests to 90%+ coverage

Ship: Deploy

Packages production-ready delivery bundles

Support: PSAM

Runs live production support after go-live

See RGEN in action

Turn undocumented systems
into structured, traceable requirements

See how RGEN delivers audit-grade documentation from legacy code, meeting notes, and Jira backlogs, with full traceability from source to story, in a fraction of the time.

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Sanciti AI
Full Stack SDLC Platform

Full-service framework including:

Sanciti RGEN

Generates Requirements, Use cases, from code base.

Sanciti TestAI

Generates Automation and Performance scripts.

Sanciti AI CVAM

Code vulnerability assessment & Mitigation.

Sanciti AI PSAM

Production support & maintenance, Ticket analysis & reporting, Log monitoring analysis & reporting.

Sanciti AI LEGMOD

AI-Powered Legacy Modernization That
Accelerates, Secures, and Scales

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