The agent gathers everything behind a demand ticket (description, comments, attachments, linked items, estimates) and writes a structured requirements document that feeds straight into design.
IT demand, PMO and integration teams that receive project requests as Jira or Azure DevOps tickets with information scattered across comments and attachments.
Pulls the ticket, comments, attachments and linked items from Jira or Azure DevOps.
Extracts text from attachments and estimate documents.
Builds the requirements document, systems in scope and project team.
Details✓
Rules✓
Sources✓
Keeps a contact or ID only if the ticket evidence supports it. Otherwise TBD.
Feeds the HLD agent, or publishes to Confluence for review.
An analyst enters a Jira or Azure DevOps ticket reference.
Ticket fields, comments, attachments (including estimate PDFs) and linked work items.
Reading the ticket history, copying details into a template and chasing the project team.
A structured business requirements document, project team table and systems list, ready for the HLD agent; can be published to Confluence.
The analyst or architect reviews the draft. Any value the ticket does not support is left as TBD for a person to fill in.
Evidence only. Nothing is invented: an email address is attached only when exactly one ticket source matches the name, and missing IDs stay TBD.
Drafts requirement sections from ticket content.
Ticket, comments, attachments and linked items.
Contacts and IDs only from evidence; secrets redacted before any model call.
Shared sign-in, sessions and dashboards.
Writes the reviewed document to the team's space.
Live implementation. Running for a customer or as a public product.
A demand ticket with the real detail spread across 30 comments, an estimate PDF and two linked items. The agent reads all of it, lists the systems in scope, fills the project team from evidence, and leaves blanks as TBD.
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