Automation in visitor management

Visitor management has become a critical challenge for businesses, corporations and SMEs seeking to balance security, data protection, efficiency and experience.

This is where Key Visitor

transforms visitor management

Companies, corporations and SMEs face challenges with traditional methods. Manual records are not only inefficient, but also vulnerable to errors and security risks, in addition to logistical complexity and lack of automation.

Impact of using key Visitor

With Key Visitor, you will be able to grant access to visitors in just 3 seconds. You will have integration with Google Wallet and Apple Wallet, and you will also receive reports on visitor stays, delays, and incidents.

Why Key Visitor?

BEFORE THE VISIT: Smart and Efficient Planning.

With Key Visitor you can:

  • Check in early from any device with an invitation sent by email.
  • Automatic generation of a QR code for single and multiple access.
  • Control of parameters such as: equipment to be brought, vehicle, branch and purpose of the visit.
  • Integration with Google Wallet and Apple Wallet.

DURING THE VISIT: Fast and Secure Access in Seconds.

  • Quick QR scanning at reception, eliminating queues and waiting times
  • Real-time display of entrances and exits in all branches.
  • Alerts if a person is overscheduled within the facilities.
  • Integration with Key Digital Signage for a more complete reception experience.
  • Secure access management with masked data on screens for visitor privacy.
  • Integration with Google Wallet and Apple Wallet.

AFTER THE VISIT: Data that Drives Optimization.

  • Data storage to streamline future check-ins.
  • Incident reports, who was inside.
  • Feedback on visitor punctuality.
  • Average length of stay at the facility..

Ready to see Key Visitor in action?

Schedule a demo and learn how our solution works.

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    Download the complete Key Visitor Manual!

    Make your visitors’ experience fast, safe and efficient.

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    Sources: ₁ Data Ladder: Out of 100 records, only 62 were completely perfect, while the remaining 38 had one or more data quality errors. This represents an error rate of 38% in the collected dataset.