Come and see BA Star in person.
Visit our booth for a live demo, or book a meeting in advance.
More than AI
General-purpose AI only knows two things: what it learned in training and what you put in the prompt. Give it little about your product, the model fills the gaps from its training data about many other products, so the stories come out generic. Give it everything and it has no way to tell what matters, what is outdated and what contradicts something else. Irrelevant information competes with the relevant and dilutes the model's attention. Outdated and current documents sit side by side, so conflicting information goes into the prompt unnoticed. What is worse, adding every detail in the prompt every time is slow and expensive.
Your team needs stories built from the right parts of your documentation, production code and decisions.
BA Star selects the relevant information, resolves conflicts, applies your team's rules and uses leading AI models, in one controlled workflow that helps you produce stories that are yours.
What BA Star is - and what it is not
BA Star is a Business Analysis system.
It combines organisational context, retrieval, AI models, business rules, backlog intelligence, validation, traceability and integrations into a controlled workflow.
It is not a generic AI chatbot.
You do not need to repeatedly explain your product in a prompt and hope the model remembers the right details. BA Star works from the knowledge already present across your organisation.
It is not an autonomous agent making product decisions.
BA Star can retrieve, analyse, structure, draft and check information. People remain responsible for product decisions and approval.
It is not a replacement for Business Analysts or Product Owners.
It removes much of the repetitive work involved in gathering context, checking information and preparing backlog items, allowing people to spend more time on discovery, prioritisation, clarification and judgment.
It is not a black box.
The information used to construct an output is traceable to its sources.
Who it is for
BA Star fits your team if…
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You already use Jira and Confluence BA Star integrates directly - your existing projects, backlog, and pages become its context.
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Your PO or BA is stretched thin Backlogs grow. Sprints come every two weeks. BA Star handles the structural work so the humans can focus on the decisions that need human judgment.
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Your team is distributed or cross-functional Product, design, and engineering rarely share the same frame of reference. BA Star produces stories that make sense to all three.
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Backlog quality is inconsistent BA Star enforces a consistent structure: same format, same depth, same level of detail, across every sprint and every team member who creates stories.
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Your engineers use AI coding assistants Copilot, Cursor, or any AI-assisted development tool produces better code when given precise, detailed stories. BA Star makes every item good enough to serve as an AI coding prompt.
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You have compliance or data sensitivity requirements Your product roadmap, your requirements docs, your team's MoMs - these are among the most sensitive assets your company holds. Self-hosted means we have no access to them. BA Star runs in your environment, and only the context selected for each task is sent from your deployment to the AI providers you choose.
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You are scaling a product from startup to team Early-stage products often have weak documentation and inconsistent backlogs. BA Star helps teams build good habits - and a strong knowledge base - from the start.
Better user stories make better code
Your developers use AI to write code. That workflow depends on precise, detailed prompts. And good prompts start with well-written stories.
BA Star closes the loop - generating stories detailed enough to serve as development briefs, context-rich enough to drive AI-assisted implementation from day one.
- 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 user story in your backlog
Your data stays
under your control
BA Star can be deployed inside your AWS, Azure, GCP, or on-premise environment. Your backlog, documentation, source code, credentials and generated items are not stored or processed on our infrastructure. The selected context required for analysis is sent directly from your BA Star deployment to the selected external AI provider. We have no access to your data - by design.
- Fully self-hosted Single binary or Docker container
- Deploy where you want AWS, Azure, GCP, Kubernetes, or bare metal
- GDPR-friendly No data processing agreement needed
- Strict security policies Ideal for companies that have them
- Credentials encrypted at rest Inside your own database