Live AI Portfolio Demo
AI Business Analyst Co-Pilot For European Market Decisions
A working prototype that shows how I would use AI-assisted analysis to convert stakeholder input, KPI movement, and market context into requirements, user stories, and executive next actions.
Business Analysis
Structures messy stakeholder needs into requirements, user stories, risks, and decision notes.
KPI Reasoning
Uses KPI movement, urgency, market complexity, and data quality to score analysis priority.
AI Ready Workflow
Built as a transparent demo that can later connect to an LLM or internal enterprise data.
AI-Generated Business Brief
Monitor and validate with stakeholders
A B2B SaaS team is seeing lower renewal confidence across Germany, Benelux, and the Nordics.
Keep the case in the backlog, improve data quality, and monitor KPI direction before committing delivery capacity.
Risk Score
41
Opportunity
65
Confidence
71
Suggested Requirements
Define KPI owner, calculation logic, current baseline, and target threshold.
Tag each stakeholder request by business value, urgency, data availability, and implementation complexity.
Generate a decision summary that separates evidence, assumptions, risks, and recommended next actions.
Generated User Stories
As a Sales lead, I need a single view of KPI movement so I can understand whether this is a market issue or an execution issue.
As a Customer Success stakeholder, I need requirements ranked by business value so delivery teams focus on the highest-impact work first.
As an executive sponsor, I need a short decision brief showing risk, assumptions, and next actions before approving a sprint.
Transparency note
This live demo uses transparent scoring and rule-based generation in the browser. It demonstrates the workflow, business logic, and UI. In a company setting, the same structure could connect to secure CRM, ERP, BI, and LLM APIs.