AI assistant for business analysts
The business analysts’ assistant
From the business need down to the process model. Describe your need, the assistant decides what to produce, you decide at every step, and your deliverables stay consistent with each other.
As a customer, I want to reset my password so that I can regain access to my account.
Given a valid email, when I request a reset, then I receive a secure link.
As an admin, I want to export access logs so that I can audit sign-ins.
Given the admin role, when I export, then the file covers the last 90 days.
Six modules, a deliverable each time
In the order the work happens: from the business need down to the process model.
Business needs
The problem to solve and the value expected, before any solution.
Requirements
Requirements tied back to the need they serve, functional and non-functional alike.
Use cases
Actors, main scenario and alternatives, for those who do not write in stories.
Meeting preparation
A 360° pack: agenda, elicitation questions and blind spots to challenge.
User stories
Formatted stories, an INVEST slicing and acceptance criteria (Gherkin).
Process modelling
A readable process structure, with a BPMN 2.0 export to your tool.
And what holds it all together
Producing a document is the easy half. These do not produce one, and they are what a set of deliverables needs to stay true over time.
Consistency and critical review
What contradicts itself from one deliverable to the next, and a critique of a finished deliverable before you send it.
Traceability matrix
From the need to the process step, with orphan requirements and uncovered needs.
Version history
Every regeneration archives the previous state, and compares against it.
Work plan
The BA tasks to expect, from BABOK v3, cross-checked against what you have already produced.
Export to your tools
Import files for Jira, Azure DevOps and Confluence. Not an API integration.
Why Elicira
An assistant that acts, not one more chat
One sentence is enough. The assistant recognises the deliverable you asked for, picks the module, chains the steps of a single request and files the result. This is what is called an agent: it plans and executes, instead of merely answering.
Deliverables that hold together
A story that contradicts your glossary, a requirement the process drops: Elicira spots the gap and hands it to you. This is BABOK traceability (task 5.1), applied across your deliverables.
An AI that pushes back
On a finished deliverable, it regenerates nothing: it plays devil’s advocate. Blind spots, unhandled exceptions, implicit assumptions. You decide.
The upstream work, no backlog required
You work before the ticket exists. No Jira, no Azure DevOps, nothing to install.
BPMN that actually opens
The BPMN 2.0 export ships with its layout already computed: the diagram opens laid out in bpmn.io or Camunda Modeler, instead of XML you repair by hand.
How it works
- 1
Set the context
Write your need or attach a document (.txt, .docx, .md).
- 2
Ask for your deliverable
The assistant picks the module, chains the steps and proposes a structured draft.
- 3
Validate and export
You make the call, then copy the text or export to BPMN 2.0.