Requirements Engineering
One meeting. Complete project.
Record a Teams meeting. HEIDI extracts requirements, creates a Confluence project, generates Jira tickets—and coding agents start building. From idea to pull request, hands-free.
Teams meeting recorded
HEIDI joins & captures context
AI analyzes requirements
Use cases, risks, acceptance criteria
Confluence project created
Structured docs, auto-published
Jira tickets generated
Epics, stories, acceptance criteria
Coding agent picks up
PR created, tests written
Teams meeting recorded
HEIDI joins & captures context
The end-to-end story
Meeting → Confluence → Jira → Code
Imagine this: A product owner runs a 30-minute Teams call. By the time they hang up, the project is documented in Confluence, tickets are in Jira, and a coding agent has already opened the first pull request.
Record the meeting
HEIDI joins your Teams, Zoom, or Google Meet call. She captures voice, screen, and shared documents in real-time.
AI structures everything
Use cases, acceptance criteria, risks, NFRs, and architecture decisions are extracted and organized automatically.
Confluence auto-created
A complete project space is published to Confluence: PRD, architecture docs, test plans—structured and linked.
Jira tickets generated
Epics, user stories, and tasks with acceptance criteria are created in Jira. Priorities, labels, and estimates included.
Coding agent delivers
Connected coding agents pick up tickets and open pull requests—with tests. Your team reviews, not writes from scratch.
Frameworks & Standards
100+ analysis templates. Every diagram framework.
Choose from 100+ templates—TOGAF, Compliance Gap Analysis, Agile Epic Breakdown, Risk Assessment, Data Migration, and more. Auto-generate BPMN 2.0, ArchiMate, UML, and Mermaid diagrams from a single session.
BPMN 2.0
Process flows with lanes, gateways, events
ArchiMate
Enterprise architecture layers & views
UML
Use case, sequence, class diagrams
Mermaid
Flowcharts, Gantt, ER, state diagrams
Traceability Maps
Requirements → implementation tracking
Impact Analysis
Change cascades across dependencies
100+ Templates
Integrations
Connected to your entire stack
30+ native connectors plus 1,000+ apps via MCP Tool Router. Ingest knowledge from anywhere, publish results everywhere.
30+ native connectors · 1,000+ apps via MCP Tool Router
Capabilities
Complete project lifecycle in one tool
Voice-driven capture
Record stakeholder sessions. HEIDI understands context, structures requirements in real-time, and works in 40+ languages.
Use case extraction
Actors, preconditions, main flows, alternative paths, and exceptions—extracted automatically from conversations.
100+ templates & frameworks
TOGAF, Compliance Gap, Agile Epic, Risk Assessment, and more. BPMN 2.0, ArchiMate, UML, Mermaid diagrams auto-generated.
Coverage & gap analysis
See which requirements are covered, which have gaps, and what impact changes have. Completeness reports before publishing.
AI deep editing
Refine any section with the AI editor. It proposes improvements grounded in your Operational Knowledge and existing policies.
Multi-channel publishing
Push to Jira (epics, stories, acceptance criteria), Confluence (structured docs), Slack, Teams, Email, or export as PDF/HTML.
Traceability matrix
Track every requirement from source to implementation. Upstream dependencies and downstream impacts at a glance.
Section proposals
AI proposes additional sections: security requirements, NFRs, integration specs, data models, and more.
Live project updates
Requirements stay in sync. Changes in meetings automatically update Confluence pages and Jira tickets.
Publish everywhere
One click to Jira, Confluence & more
Analysis packs aren't locked in a silo. Create or update Jira tickets, publish complete Confluence project spaces, notify Slack channels, or export as PDF—all from a single analysis session.
Structured project docs
Epics, stories, criteria
Team notifications
Channel updates
Exportable reports
Stakeholder summaries
Impact analysis
Change a requirement and instantly see which use cases, diagrams, Jira tickets, and downstream dependencies are affected. No more surprise cascades.
Connect coding agents
Jira tickets become input for coding agents (Cursor, GitHub Copilot, Devin, or your own). They read the acceptance criteria, write the code, run tests, and open a pull request—your engineers review instead of write from scratch.
Example flow
Live sync & updates
Requirements don't stop after the first session. Record follow-up meetings, and updates automatically flow to Confluence pages and Jira tickets—keeping everything in sync.
Frequently asked questions
Learn more about how Process Designer works and how it can help your organization.
How does AI extract use cases from conversations?+
HEIDI listens to stakeholder sessions (voice + screen) and uses your Operational Knowledge as context. It identifies actors, preconditions, main flows, alternative paths, and exceptions—then structures them into formal use cases automatically.
What types of diagrams are auto-generated?+
The analysis pack can generate BPMN process flows, sequence diagrams, requirements hierarchies, traceability maps, and ArchiMate enterprise architecture models—all from the same analysis session.
How does the traceability matrix work?+
Every requirement is tracked from its source (stakeholder session, document, recording) through to implementation. The matrix shows upstream dependencies, downstream impacts, and cross-pack references so nothing falls through the cracks.
Can I publish requirements to Jira or Confluence?+
Yes. Finished analysis packs can be pushed directly to Jira (as user stories and epics), Confluence (as structured documentation), Slack, Microsoft Teams, or exported as PDF/HTML.
What makes this better than traditional requirements documents?+
Traditional requirements are static documents that quickly become outdated. Analysis packs are living artifacts: AI-assisted, version-controlled, connected to your Knowledge Graph, and equipped with coverage metrics and gap analysis.
Does it support multiple languages?+
Yes. You can hold stakeholder sessions in any of 40+ languages supported by HEIDI, and generate the documentation in a different language—breaking down barriers in international teams.
Can coding agents automatically pick up the generated Jira tickets?+
Yes. Once Jira tickets are created with acceptance criteria and technical specs, connected coding agents (like Cursor, GitHub Copilot, or Devin) can pick them up, write the code, run tests, and open pull requests. Your engineers review instead of writing from scratch.
How does the meeting-to-code pipeline work?+
Record a Teams, Zoom, or Google Meet call. HEIDI extracts requirements, creates a Confluence project space with PRD and architecture docs, generates Jira epics and user stories—and coding agents can start building immediately. From meeting to pull request, fully automated.
What diagram frameworks are supported?+
Process Designer supports BPMN 2.0, ArchiMate enterprise architecture, UML (use case, sequence, class), Mermaid (flowcharts, Gantt, ER, state), traceability maps, and impact analysis diagrams—all auto-generated from a single analysis session.