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Borso

Borso automates electric vehicle charging reimbursements for businesses, simplifying expense tracking and payout processing. The platform offers real-time cost visibility and customizable policies to streamline financial operations and ensure compliance for EV fleets.

Florence, ItalyFounded 2024250+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Companies transitioning to electric vehicle fleets face administrative burdens in managing and reimbursing employee charging costs. Manual data collection, policy enforcement, and payout processing for EV charging are time-consuming and prone to errors, hindering efficient financial operations.

Solution

Borso provides an automated platform designed to streamline electric vehicle charging reimbursements for businesses. The system simplifies the process from charge logging by employees to the final payout, ensuring accuracy and compliance. It offers real-time visibility into charging expenditures, enabling better financial oversight and policy management. The platform's automated verification and audit-ready record-keeping reduce administrative overhead and improve the efficiency of reimbursement cycles.

Target Audience

The primary customers are businesses with electric vehicle fleets that need to manage and reimburse employee charging expenses, including fleet managers, HR departments, and finance teams.

Features

  • Automated charge logging via mobile interface for employees.
  • Real-time dashboard providing visibility into charging costs and trends.
  • Customizable reimbursement policies based on employee, team, or department.
  • Built-in verification mechanisms to flag inconsistencies and outliers in charging data.
  • Centralized digital vault for secure storage of receipts, bills, and logs.
  • Audit-ready records to support financial reconciliation and compliance.
  • Scalable architecture to accommodate teams of varying sizes.
This profile is AI-generated and may contain inaccuracies.