NEOPOLIS AKADEMY
Monthly financial reporting with anomaly detection
Advanced practical exercise to build monthly financial reporting with anomaly detection. Covers P&L data collection, n8n orchestration, AI-based anomaly analysis and alerting while ensuring human review of findings.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Automated collection and preparation of P&L data via n8n and connected sources.
Applying analysis/AI methods to spot deviations, trend breaks and outliers.
Building monthly dashboards and producing configurable alerts.
Validation steps and procedures to review anomalies before communication.
STEP BY STEP
Course programme
01Monthly financial reporting with anomaly detection
Session to create a monthly financial report with anomaly detection. Use n8n to consolidate P&L data, apply AI‑based analysis rules and generate alerts when variances or anomalies are found.
Aim: automate P&L consolidation and spot anomalies before report distribution.
Environment prep: P&L data sources, n8n connections and configuration of AI analysis rules.
Stepwise build: ingest streams, compute KPIs, detect variances and emit alerts.
Security checkpoint: verify audit trails, access rights to financial data and protection of reports.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page