Aline Stack
project-pony-tail.png
AI Agent System

Pony Tail

Year

2025

Impact

80% Less PM Overhead

The Context

Pony Tail is an AI-native product management agent built for fast-moving product teams drowning in coordination overhead. It reads your codebase, Jira backlog, Slack threads, and customer feedback in real time — then autonomously grooms tickets, prioritizes by impact, drafts sprint plans, and generates stakeholder updates. The PM becomes a decision-maker, not a meeting scheduler.

The Challenge

The product team was spending over 60% of their week on coordination — grooming tickets, chasing updates, writing status reports. Actual product thinking was being crowded out by process management.

The Solution

We built a multi-agent orchestration layer that connects to the team's existing tools. Pony Tail's core agent reads signals from Jira, GitHub, Slack, and customer feedback channels. A planning agent then autonomously drafts sprint structures, flags scope creep, and surfaces blockers — surfacing only what needs a human decision.

Measurable Impact

01

80% reduction in time spent on backlog grooming and sprint setup.

02

Sprint velocity increased 35% in the first quarter post-deployment.

03

Stakeholder reports generated automatically every Friday — zero manual input.

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