If you have just come out of a requirements workshop with pages of notes and a project manager asking for a BRD draft by end of week, you do not need a writing lesson. You need something that takes what you already know and turns it into a structured document, fast. That is exactly what using an AI assistant to write a BRD is designed to do, and the difference between doing it well and doing it badly comes down to how the tool engages with your specific project rather than producing a generic output you have to completely rewrite.
I have been in that situation more times than I can count across 25 years of BA practice in government, utilities, health, and enterprise environments. The blank page is never really a writing problem. It is a structure problem. You have the raw material. What you are missing is something that asks you the right questions in the right order and assembles your answers into a document that can withstand scrutiny at a governance review. That is what a well-designed conversational AI assistant does, and it is a fundamentally different experience from opening a BRD template and staring at empty section headings.
Why a Static Template Is Not Enough Under Pressure
Templates have their place. They give you a consistent structure and ensure nothing obvious is left out. But a template is static. It does not ask you anything. It does not notice when your business objective is actually a solution in disguise, or when your scope section lists activities instead of boundaries. It does not prompt you to think about what you might have missed or flag when two things in your notes contradict each other.
For early and mid-career BAs, and honestly for experienced ones too when the project domain is unfamiliar, those empty headings can feel like a series of rooms you have no idea how to furnish. The problem is not the template design. It is that templates require you to already know what good looks like. A conversational AI assistant does not make that assumption. It asks. And the asking is where the value lives.
How a Conversational BRD Session Actually Works
When I use Ash to work through a BRD, the session starts with a question rather than a heading. Something like: what problem is the business trying to solve, and why does it matter now? That single question forces me to articulate the business need in plain language before I commit to any requirements language. It prevents the most common BRD mistake, which is jumping straight to what the business wants to build rather than what it needs to achieve.
From that first answer, the next prompt follows logically. Who is affected? What does success look like from the business’s perspective? What constraints are already in play? By the time I have answered six or seven of those questions, I have enough material for a coherent problem statement, a set of business objectives, an initial scope boundary, and a list of key stakeholders. Ash structures those answers into the relevant BRD sections as the conversation progresses. I am not writing a document. I am having a conversation that becomes a document.
The sequence Ash works through typically covers these areas, each with a specific intent behind the prompt:
- Business problem and context: Ash asks you to describe the problem in plain terms before any requirements language appears, which prevents the common mistake of jumping to solutions too early.
- Business objectives: You are prompted to state what the business needs to achieve rather than what it wants to build, keeping the BRD focused on outcomes rather than features.
- Scope boundaries: Ash asks you to identify both what is in scope and what is explicitly out of scope, forcing you to confront gaps and conflicts in your notes before they become gaps and conflicts in the document.
- Stakeholders and their interests: You are asked who is affected and what each group needs from the outcome, which feeds directly into the requirements section and supports a stakeholder analysis if you need one.
- Assumptions and constraints: Ash prompts you to capture what is currently being treated as given, including budget, timelines, and regulatory conditions, so they do not stay buried in your notes.
- Business requirements: Once the context is established, Ash helps you draft individual requirements in a consistent format, checking that each one is traceable to a stated objective rather than floating free.
A Real Example: Project X at Organisation B
On one project I worked on for Organisation B, a mid-sized public sector body, I was brought in mid-stream after the original BA had left. What I inherited was a set of meeting notes, some email threads, and a half-completed scope statement that contradicted itself in two places. The project manager needed a BRD ready for a governance review in four days.
I used Ash to work through what I had. I fed in the raw information from the meeting notes and used the conversational prompts to interrogate the material: what was the stated business problem, what outcomes had been agreed, what was explicitly out of scope, what constraints had been mentioned. Within the first session I had a draft problem statement and a set of candidate business requirements.
That is where the friction started. One of the key stakeholders, the head of operations, had given conflicting direction in two separate meetings. In one session she had said the new system needed to support field-based staff working offline. In another, she had said mobile access was out of scope for phase one. When Ash prompted me to clarify the scope boundary around mobile and offline access, I realised I could not answer the question without going back to her directly.
That prompt saved me from writing a BRD that would have failed at the first review. I went back to the stakeholder, raised the specific conflict, and got a clear steer: offline access was deferred to phase two, with a note in the BRD flagging it as a known dependency. That single clarification made the governance review clean. Without the conversational prompt forcing me to confront the gap, I would have glossed over it and created a problem downstream. A good AI assistant does not just help you write faster. It helps you catch the things you would have missed when working alone under pressure.
AI Assistant vs Blank Template vs Generic AI Prompt
| Approach | What it gives you | What it does not do | Best for |
|---|---|---|---|
| Blank BRD template | A consistent structure and section headings | Does not prompt, question, or check your logic | Experienced BAs who already know what to write |
| Generic AI prompt (e.g. “write me a BRD”) | A plausible-looking document quickly | Does not know your project, stakeholders, or constraints | Generating a starting framework to heavily edit |
| Ash conversational BRD assistant | A structured conversation that draws out your specific project detail and builds the document from your answers | Cannot replace the stakeholder conversations you still need to have | BAs with raw notes, partial information, or mid-project pressure |
The Difference Between Writing Faster and Writing Better
There is a version of AI-assisted writing that is purely about speed. You paste in some notes, you get a document back, you tidy it up and send it out. That has value, but it is not what makes a BRD credible at governance or useful to a development team. What makes a BRD credible is that the requirements are traceable to business objectives, the scope is unambiguous, and the assumptions are visible. Those qualities do not come from speed. They come from being asked the right questions and being forced to answer them honestly.
If you are working through what type of document you actually need before you start, the comparison in the article on BRD versus FRD is worth reading first, because the scope of what you are producing affects everything about how you structure the conversation with Ash. Getting that boundary right before you start saves significant rework later.
What to Bring Into the Session
The quality of what comes out of an AI-assisted BRD session depends directly on the quality of what you bring into it. Before you start, gather whatever you have: meeting notes, email summaries, any existing scope documents, the project brief if there is one. You do not need everything to be tidy. Ash is designed to work with incomplete and sometimes contradictory information, because that is what real BA work looks like.
Go into the session prepared to say “I do not know yet” on some questions. That is useful information too. A BRD that clearly flags what has not yet been confirmed is far more useful to a project team than one that papers over the gaps with vague language. And if you find yourself unable to answer a prompt that should have a clear answer by this stage of the project, that is the signal to go back to your stakeholders before you go any further. That is not a failure of the tool. That is the tool doing its job. You might also find it useful to review some requirements elicitation questions before your next stakeholder conversation, so the gaps you identify during the Ash session can be closed efficiently.
Writing a BRD from a conversation rather than a blank page is not a shortcut. It is a more disciplined approach to a task that most BAs rush because the pressure to produce something tangible arrives before the analysis is complete. Using an AI assistant that asks the right questions in the right order keeps you honest about what you know, surfaces the gaps before they become problems, and turns the thinking you have already done into a document that can withstand scrutiny. That is what good requirements work looks like, with or without the AI.
Frequently asked questions
Can an AI assistant write a BRD for me?
An AI assistant can help you write a BRD by asking structured questions and turning your answers into a formatted document, but it cannot replace the stakeholder conversations and analysis that underpin good requirements work. The output quality depends directly on the accuracy and completeness of what you feed into the conversation. Think of it as a structured writing partner rather than an autonomous document generator.
What information do I need before using an AI tool to write a BRD?
You do not need everything finalised before you start, but you should have some working notes on the business problem, the key stakeholders, any known constraints, and an initial sense of scope. A conversational AI assistant is designed to work with incomplete information and will prompt you to identify what still needs clarification. The more specific your inputs, the more accurate and useful the output will be.
How is an AI assistant different from just using ChatGPT to write a BRD?
A general-purpose AI tool like ChatGPT will generate a plausible BRD structure quickly, but it has no knowledge of your specific project, stakeholders, objectives, or constraints unless you provide all of that context yourself. A purpose-built BA assistant like Ash asks you targeted questions in a structured sequence that mirrors real BA practice. That means the document it helps you produce is grounded in your actual project rather than a generic template.
What sections does a BRD need to include?
A well-structured BRD typically includes a business problem statement, business objectives, scope boundaries, stakeholder identification, assumptions and constraints, and the business requirements themselves. Each requirement should be traceable back to a stated business objective. The exact structure can vary by organisation and project type, but these core sections are standard across most environments.
How long does it take to write a BRD with AI assistance?
With good preparation and a conversational AI assistant, you can produce a solid first draft of a BRD for a mid-complexity project in two to four hours. That time includes the conversation itself, any clarification loops where you need to confirm something with a stakeholder, and a final review pass to check the document reads coherently as a whole. Without AI assistance, the same draft would typically take a full day or more.
Try Ash, Your Virtual BA
If you have just read this article because you have a BRD to write and a deadline that is already too close, Ash is the logical next step. Ash guides you through the BRD writing process conversationally, asking the structured questions that turn your workshop notes, meeting summaries, and half-formed scope statements into a document ready for governance review. You bring what you know, including the gaps and contradictions, and Ash helps you shape it into something your stakeholders and project team can actually use. Try Ash Virtual BA and have a draft BRD by the end of the session.
Further reading
- Workshop. Creating Requirements AI Assistant | Belarus
- IIBA’s KnowledgeHub’s AI Assistant | Business Analysis & The Power of Artificial Intelligence
Written by Sam Cordes, founder of the Business Analyst’s Toolkit.