Keep source ownership
Polarion, Jira, IBM DOORS, and document repositories remain familiar places where teams know where contents live and who owns them.
Enterprise Mirror
Leverage trusted systems before changing the way people work
Start from the existing Polarion installation, then extend the same secure mirror pattern to Jira, IBM DOORS, documents, and other structured sources.
Teams keep content where they know and trust it. SDD maintains a permanently updated context model and writes approved information back through controlled connections.
Adoption model
Why the mirror is the secure first move
The source systems remain authoritative while SDD becomes the operating layer around their context.
Mirror instead of migrate
SDD synchronizes the structured context without asking users to abandon the installed base before the value is proven.
Operate above the sources
Key users exchange decisions, risks, tests, and process updates in SDD while every item stays traceable to the original system.
Architecture
Permanent structured context mirror
Enterprise Mirror creates a living graph from requirements, issues, documents, decisions, tests, and project knowledge, then synchronizes approved updates back to source systems.
Enterprise systems
Polarion requirements Jira issues IBM DOORS modules Document repositories Knowledge basesControlled read
Context linking
Controlled write-back
SDD mirror
Intent
Requirement
Issue
Document
Risk
Test
Decision
Evidence
Linked records preserve origin, status, source references, and relationships.
Operating layer
Process views Traceability Review exchanges Execution guidance AI actionsCollaboration
A shared process workspace for key users
The mirror gives every role the same project context without forcing them into one source-system screen.
QA
Testers
Developers
Managers
Gatekeepers
Business owners
SDD process workspace
Complete project context
requirements + issues + documents + knowledge + decisions
Execution intelligence
AI in the middle of the enterprise context
SDD can use the mirrored context with consistency because requirements, issues, documents, decisions, and goals are already connected.
Existing intents
Business goals
Requirements
Issues
Documents
Knowledge
Risks
Tests
SDD AI + MCP channel
LLM chat with governed project tools
Agents reason inside the mirrored project model and use MCP tools to inspect context, manage information, and link project elements together through chat.
ChatGPT or LLM chat
MCP tools
SDD context graph
Clarify requirements
Generate specifications
Find missing coverage
Link elements together
Manage context updates
Prepare test protocols
Explain impacts
Summarize decisions
Phases
Enterprise Mirror rollout path
The value grows from secure mirroring to collaboration, then to AI-assisted process execution.
Mirror installed systems
Start with Polarion, then add Jira, IBM DOORS, documents, and other structured repositories.
Stabilize project context
Normalize references, preserve ownership, and maintain a permanently updated bidirectional structured mirror.
Bring key users into SDD
QA, testers, developers, managers, and gatekeepers exchange process information from the same context.
Enforce key users collaboration
Exchange feedback, tasks, reviews, and cross-department communication so decisions move fluidly across the project.
Leverage AI in context
Use SDD agents to act on business intents, goals, requirements, documents, and knowledge with traceability.