Internal System Requirements Definition

via Freelancer ·

Budget / Salary$10–30
TypeFreelance project
LocationRemote
Posted1 hour ago
I want a skilled business analyst to capture and formalise the full set of requirements for a new internal business system that will streamline our finance operations and embed practical AI capabilities from day one.

The scope centres on two pillars:
• Finance – everything from transaction processing and reporting to audit trails and inventory-related data. Mainly supply
• AI enablement – we need clear, realistic use-cases (forecasting, anomaly detection, rules-based automation, etc.) documented so developers can build or integrate the right models later.

You will start by mapping our current finance workflows, pain-points, and data sources, then run stakeholder workshops to uncover must-have, should-have, and nice-to-have features. From there, translate findings into a concise, implementation-ready requirements package.

Deliverables
1. Current-state process maps and gap analysis
2. Business Requirements Document (BRD) with user stories, acceptance criteria, and traceability matrix
3. High-level solution outline showing AI touch-points, data flows, and security considerations
4. Prioritised feature backlog with effort/impact estimates
5. Presentation deck summarising recommendations for executive sign-off

Plain English, structured templates (e.g., IEEE or BABOK style), and the ability to test requirements against compliance and finance standards are essential. Familiarity with tools such as Visio / Lucidchart for diagrams and JIRA / Confluence for backlog management will help keep everything transparent for our internal tech team.

Timeline, format preferences, and any further context will be shared once we
project management finance business analysis procurement artificial intelligence documentation data analysis automation risk assessment
Apply on Freelancer →

Project sourced from Freelancer.com. Applications happen directly on the original platform — we never collect your data.