Case studies

Examples of measurable data and AI outcomes

These placeholder examples show how Arbytals communicates business impact across reporting modernisation, forecasting and AI workflow automation.

ROIImpact

Manual effort-70%

Planning8w

Triage+45%

Financial Services

Executive KPI Reporting Modernisation

Problem: Leadership relied on manually consolidated spreadsheets with inconsistent metrics across finance and operations.
Solution: Arbytals designed a governed KPI model, automated data ingestion and delivered a Power BI executive dashboard suite.
Outcome: Reporting preparation time dropped from days to hours, with a clearer source of truth for monthly performance reviews.

70% reduction in manual reporting effort

Operations and Logistics

Problem: A national operations team had limited visibility into demand spikes and resource constraints.
Solution: We developed forecasting models, scenario views and exception reports connected to operational source systems.
Outcome: Managers gained earlier warning of capacity pressure and improved roster, inventory and service planning decisions.

Improved planning horizon from 1 week to 8 weeks

Government

Problem: High-volume document intake required manual classification, routing and status updates across multiple teams.
Solution: Arbytals prototyped an AI-assisted workflow for document extraction, classification and case routing with human review.
Outcome: The agency reduced repetitive review work while maintaining governance and auditability for sensitive workflows.

45% faster initial triage in pilot workflow