Mash AI
Engineering & SDLC Agentwks→d

PRD Agent

Scattered notes into one signed-off spec.

Scattered notes into one signed-off spec. Turns user feedback, market signals, and stakeholder notes into a complete product requirements doc ready for sign-off. Every action scored, logged, and reversible.

PRD Agentwks→d
In
  • System records
  • Policy & rules
  • Third-party feeds
agent
Out
  • Audit-ready evidence
  • Scored recommendations
  • Dashboards & reports
Product management teams100% audit
wks→d
Headline result
0%
Time to resolve an issue
0 wks
Typical time to live
The problem

Why this work breaks at scale.

It burns senior time on low-judgment steps and leaves no clean trail of why each call was made.

With PRD Agent: requirements in days, not weeks.
Capabilities

What the PRD Agent does for your team.

01

Explains every decision

Each output ships with its reasoning and the source it drew from, so a reviewer can confirm rather than re-derive.

02

Scores and prioritises

Ranks work by risk, value, and urgency so the queue reflects what actually needs attention first.

03

Escalates cleanly

Knows the edge of its competence and hands off without losing a single line of context.

04

Human-in-the-loop by design

Routine cases run end-to-end; anything above your confidence or value threshold is routed to a person with the full context attached.

How it works

Ticket to PR to release, one engineering view.

01

Intake

Captures the request and assembles everything needed to act on it.

02

Reason

Runs the deterministic checks first, then applies judgment where it helps.

03

Execute

Completes the task across the connected systems in one pass.

04

Report

Returns the result, the rationale, and the trail in one place.

Inputs
  • System records
  • Policy & rules
  • Third-party feeds
  • Email & chat
Outputs
  • Audit-ready evidence
  • Scored recommendations
  • Dashboards & reports
  • Exception flags
Fits your stack

Deployed into the systems you already run.

No rip-and-replace. The PRD Agent connects to your existing engineering & SDLC tooling and writes back to your system of record.

GitHubGitLabJiraServiceNowJenkinsCodebase RAGDecision Log
In production

Deployed for Product management teamsrequirements in days, not weeks.

See a case study
Questions

The practical details.

It integrates with the engineering & SDLC systems you already run, GitHub, GitLab, Jira and more, with no rip-and-replace.

No. It removes the low-judgment, repetitive work and routes anything consequential to a person with the context attached, so your team spends time where judgment actually pays off.

Yes. You own 100% of the IP, code, and documentation. There is no platform lock-in and the full system transfers to your team.

A first version typically runs against your own data within weeks, the first agent can be live in as little as 48 hours, with full deployment in two to eight weeks.