032026
Predictive AI · Decision intelligence
FRCS predictive analytics and taxpayer risk intelligence
A predictive-analytics proof of concept combining a 360° taxpayer view, risk classification, revenue forecasting and interactive Power BI analysis.
360°consolidated taxpayer view
3clear risk classifications
5people in the delivery team
01 / The challenge
FRCS needed a practical way to combine taxpayer information, identify risk patterns, prioritise compliance attention and explore future revenue scenarios—with an understandable path from source data to business-facing decisions.
02 / What we delivered
- A consolidated 360° Taxpayer View.
- High, medium and low risk classification and a Predictive Risk Matrix.
- Interactive industry, sector and taxpayer dashboards.
- Revenue forecasting and compliance-risk modelling in Azure Machine Learning Studio.
03 / My contribution
I led the proof of concept end to end: shaped the analytical use cases, coordinated data and model work, guided Azure ML experimentation, reviewed dashboards and documentation, and led stakeholder readouts and handover.
04 / The outcome
The completed proof of concept demonstrated how model outputs could support taxpayer segmentation, compliance prioritisation and revenue planning while remaining interpretable to operational users.
Users could move from portfolio-level risk patterns into sector and taxpayer detail rather than receiving an isolated model score.