Global consumer-goods manufacturer · integration delivery team · Live inside Agent Foundry · name withheld
Days of analyst time per project before design could start, and rework from requirements nobody could trace.
The real detail is scattered across dozens of comments, estimate PDFs and linked items.
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.
Analysts spent days reading ticket history and copying details into a requirements template.
Project contacts and systems in scope were chased by email.
Design started from inconsistent, half-complete inputs.
Guessed values in requirements caused rework later in design.
The agent fetches the ticket, every comment, attachment, estimate and linked item.
A contact or ID is kept only if the ticket evidence supports it. Otherwise it stays TBD.
Every requirements document comes out in the same structure.
Output goes to the HLD agent or is published to Confluence for review.
The analyst or architect reviews the draft. Any value the ticket does not support is left as TBD for a person to fill in.
Jira
Azure DevOps
Confluence
Agent Foundry HLD agent
A structured first draft is ready as soon as the ticket is entered.
No contact, email or interface ID appears without evidence in the ticket.
Every comment and attachment is read, not just the description.
Every fact links back to where it came from in the ticket.
A demand ticket with the real detail spread across 30 comments, an estimate PDF and two linked items. The agent read all of it, listed the systems in scope, filled the project team from evidence and left the unknowns as TBD.
The 'nothing invented' results are design guarantees enforced in code. Time savings are targeted and measured with the customer's demand team.
How we label resultsTell us about it. The first discovery call is free.