
Case Study
How Finloop reduced reporting time from days to minutes
Finloop's analysts were spending 3 days a week pulling reports manually. With Aura's real-time analytics, that same work now takes under 20 minutes — freeing the team to focus on decisions, not data
Solutions
Increased patient throughput while reducing wait times by 15%.
Tool
Figma, Framer,AI
Location
Toronto, Canada
Client
Finloop
Overview
Finloop needed a faster way to turn scattered financial data into decision-ready insight. Aura redesigned the reporting workflow around real-time analytics, automated data preparation, and role-based dashboards so analysts could spend less time assembling reports and more time interpreting trends.
Results & Impact
Weekly reporting reduced from 3 days to under 20 minutes
Real-time dashboards created for analyst and executive teams
Manual data cleanup reduced by 70%
Faster decisions across finance, risk, and operations

For Finloop, the transformation centered on speed, confidence, and clarity. Aura replaced a slow reporting process with a real-time analytics layer that made critical financial information easier to access, understand, and act on across the organization.
Analysts no longer needed to spend days preparing recurring reports before the real thinking could begin. Automated data preparation, cleaner dashboards, and role-specific views gave each team the context they needed without forcing everyone through the same manual workflow.
The new system gave Finloop a stronger rhythm for decision-making. Reports that once arrived late in the week now update continuously, helping finance, risk, and operations teams respond sooner, align faster, and spend more time on analysis that directly supports growth.
Aura’s analytics layer helped Finloop turn reporting into a continuous, real-time workflow. Data that once had to be collected, cleaned, and formatted manually now flows into dashboards that update automatically as source systems change.
This shift changed the role of the analyst team. Instead of spending days preparing reports, they can now investigate patterns, flag risks, and support faster decision-making across finance and operations.
The result is a reporting process that is faster, more reliable, and easier to scale as Finloop continues adding new data sources and stakeholder requirements.
Financial Analytics
Live Dashboards
Data Pipelines
Report Automation
Risk Insights
Executive Views
Data Cleanup
Decision Support
Overview
The Challenge
Finloop’s analysts spent days each week collecting data, cleaning spreadsheets, and preparing recurring reports before stakeholders could make decisions. The delay created stale insights, duplicated effort, and limited visibility for finance, risk, and operations teams.
Our Solution
We implemented a real-time analytics workflow with automated data preparation, role-based dashboards, and reusable reporting views. The system now updates continuously, reduces manual cleanup, and gives each team faster access to the metrics they need for decisions.
Recognition & Awards
Our Achievement
Best AI Innovation 2025 - FinTech Awards
2026







