In your pursuit of solutions that satisfy the market’s growing expectation of simplicity and convenience, consider this: you can now offer an onboarding process as quick and simple as asking your customers to snap a photo of their ID with the mobile device in the palm of their hand.
Enter Kofax Mobile ID and Verification™. A process that once took hours of paperwork and manual intervention can now be completed in about 10 seconds. No pen, no paper — just a fast and frictionless customer onboarding experience.
The solution offers three capability levels that work together to ensure integrity of the process:
ID capture for frictionless form prefill for quick and efficient onboarding
ID verification to determine if the ID is real and unaltered
Facial recognition to ensure applicant in possession is the owner of the ID
Now, you can onboard and verify more customers, more quickly, while taking your customer engagement to the next level.
Easily Onboard and Engage Customers On the Go
Your customers can initiate a paperless onboarding process via their mobile device by taking a photo of their ID document(s) and, for a greater level of security, taking a selfie. Build customer confidence by returning accurate results in near real-time.
Reduce Costs and Resources Through A Single Platform
A single-platform solution powers your processes and delivers true efficiencies for your business. Data is extracted automatically, eliminating the need for manual entry by the user or back office resources.
Capture High-Quality Images the First Time, Every Time
Optical character recognition (OCR) software understands the content it captures and automatically populates the app for your customer. The mobile capture technology creates high-quality images, so documents are captured quickly and correctly the first time, every time.
Ready to learn more about Mobile ID and Verification
Kofax Mobile ID, ID verification and facial recognition work together to ensure compliance with regulations such as Know Your Customer (KYC) and Anti-Money Laundering (AML), and to curtail many types of fraud. For example, a criminal could steal a smartphone or hack into a mobile account with the intent of transferring money, but they will be stopped cold if facial recognition is used as a second factor of identity verification. This 100% automated technology can also be used to eliminate social security and other types of government benefits fraud.