Your AI Business Analyst.
Briefed on your product from day one.

BA Star writes structured, context-aware epics, user stories and tasks grounded in your real product knowledge
— not generic AI output.

See how it works
Self-hosted — your infrastructure
Data never leaves your servers
Works with your existing tools
No stack lock-in

From raw input to published backlog in minutes

BA Star follows a disciplined, three-stage workflow
— the same one a great Business Analyst would.

Step 01

It reads your sources

BA Star reads the sources you have defined — Jira, Confluence, GitHub, Figma, documents, meeting transcripts — to get the full context of your product before generating anything.

Step 02

Drafts ready for your review

It creates draft epics, user stories, tasks, bugs and spikes based on your input and context. Everything lands in a review screen — nothing is published without your approval.

Step 03

Approved changes go to Jira

Once you've reviewed and approved, BA Star updates Jira with exactly the changes you signed off. No surprises, no overwriting — only what you explicitly approved.

Built for how product teams actually work

Not a general-purpose chatbot.
A purpose-built tool that knows your product as well as you do.

Context-aware output

BA Star knows your product. Your existing Jira tickets, Confluence pages, architecture decisions, previous epics — it reads them all before it writes a single word. Every ticket fits your team's language, constraints, and patterns.

Hours back every day

A BA session that used to take a full day — reading notes, drafting stories, refining acceptance criteria — takes minutes. BA Star does the structural work so your team can focus on the decisions that actually need human judgment.

Bridge the gap

Product people speak in outcomes. Developers think in systems. BA Star translates — producing tickets detailed enough for engineers to build from, precise enough for stakeholders to review, clear enough to drive AI-assisted development.

Your data. Your servers.

BA Star runs entirely within your infrastructure. No data leaving your perimeter. Deploy on AWS, Azure, GCP, or your own hardware. Ideal for teams and companies with security or compliance requirements.

Better tickets make better code.

Your developers use AI to write code. That workflow depends on precise, detailed prompts. And good prompts start with well-written tickets.

BA Star closes the loop — generating tickets detailed enough to serve as development briefs, context-rich enough to drive AI-assisted implementation from day one.

Who benefits most →
  • Acceptance criteria written in developer-ready language
  • Edge cases and error paths documented before a line of code is written
  • Dependency flagging that surfaces mid-sprint blockers early
  • Consistent format across every ticket in your backlog

BA Star learns from your tools and documents

Connect your tools once. BA Star reads them continuously —
so every session is grounded in your real product knowledge, not a blank slate.

Jira

Cloud · Data Center

Existing epics, stories, and tickets — BA Star understands your backlog history, issue types, and project patterns before writing a single new item.

Confluence

Cloud · Data Center

Specs, architecture docs, decision logs, and team wikis. BA Star reads your Confluence spaces so generated tickets reflect decisions already made — not assumptions.

GitHub

Cloud · Enterprise Server

Your codebase, function-level structure, READMEs, and architecture. BA Star reads across 20+ languages so technical stories align with how your system is actually built.

GitLab

Cloud · Self-hosted

Repositories, merge requests, and issue history. BA Star connects to both GitLab.com and self-hosted instances for teams that keep their code on-premise.

Figma

Cloud

Frames, components, design tokens, and comments. BA Star reads your designs so stories can reference the correct UI elements and flows without the BA having to describe them manually.

Bitbucket

Cloud · Data Center

Repositories and pull request history. BA Star reads your Bitbucket code so technical stories stay aligned with how your system is structured and versioned.

Azure DevOps

Cloud · Server

Work items, boards, and repositories. BA Star integrates with Azure DevOps so teams on the Microsoft stack can generate tickets that fit their existing project structure.

Aha!

Cloud

Roadmaps, features, and strategic goals. BA Star reads your Aha! workspace so stories connect directly to the product strategy and initiatives behind them.

Zoom

Cloud

Zoom meeting transcripts and VTT files. BA Star extracts decisions, action items, and open questions before generating stories from the session.

Microsoft Teams

Cloud

Teams meeting transcripts. BA Star reads the conversation to surface decisions and open questions, then turns them into structured backlog items.

Google Meet

Cloud (via Drive)

Google Meet transcripts via Google Drive. BA Star extracts key decisions and converts meeting output into ready-to-review backlog items.

Requirements & Discovery Docs

PDF · DOCX · TXT · Markdown

Upload a requirements document or discovery output and BA Star uses it directly as session input — no copy-pasting required.

Your data never leaves your infrastructure.

BA Star is deployed inside your AWS, Azure, GCP, or on-premise environment. Your Jira data, your Confluence pages, your codebase — they all stay within your perimeter.

There is no central server, no telemetry, no logging on our side. We can't see your data — by design.

Data & privacy →
  • Fully self-hosted — single binary or Docker container
  • Deploy on AWS, Azure, GCP, Kubernetes, or bare metal
  • GDPR-friendly — no data processing agreement needed
  • Ideal for companies with strict security policies
  • Credentials encrypted at rest inside your own database

Let's get BA Star working for your team.

We provide a Docker image, a single binary, and a Helm chart. Deployment takes less than an hour. We'll walk you through it.

Get in touch See case studies