대부·채권
We analyze company workflows, bottlenecks, and revenue opportunities.
Timeline
8 weeks
Client
OneFin
Industry
Fintech
Services
Custom AI Integrations, AI Workflow Automation, Internal Tooling
Challenges
The client was scaling rapidly but operating on fragmented and semi-manual workflows across key financial operations.
Manual data processing bottlenecks: Financial data from multiple sources (transactions, reports, client inputs) required heavy manual handling, leading to delays and human errors.
Inefficient reporting cycles: Monthly and weekly financial reports took days to compile, limiting real-time decision-making.
Disconnected tools & systems: CRM, accounting software, and internal dashboards were not properly integrated, causing duplication of work.
High operational cost: A growing ops team was needed just to maintain workflows, reducing scalability and margins.
Solutions
We designed and deployed a fully automated AI-driven workflow system tailored to their financial operations.
1.Intelligent Data Processing Pipeline
Automated ingestion from multiple sources (APIs, spreadsheets, CRM)
AI-based data validation and anomaly detection
Standardized data formatting across systems
2.AI-Powered Financial Reporting
Real-time report generation with dynamic dashboards
Automated summaries and insights using AI
Scheduled reporting workflows (daily, weekly, monthly)
3.System Integration Layer
Connected CRM, accounting tools, and internal databases
Eliminated duplicate entries and manual syncing
Built a centralized data hub for operations
4.Workflow Automation Engine
Trigger-based automation (e.g., new transaction → validation → report update)
Reduced need for human intervention in repetitive tasks
Built internal tools for monitoring and control
Results
The client transitioned from an operations-heavy model to a scalable, automation-first system—allowing their team to focus on strategy, growth, and product innovation instead of manual execution.
+38%
Faster Delivery
-62%
Admin Work
4x
Productivity