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How AIVA Works

How AIVA Works

TRANSFORM YOUR OPERATION

Using advanced machine-learning capabilities, AIVA accurately performs “stare and compare” activities in minutes, as opposed to the hours-long manual review process. AIVA reads and comprehends both structured and unstructured data, and draws conclusions based on context. “She” is able to systematically remember patterns within data the same way a human recalls information learned on the job. Once trained, she can pre-evaluate forms at scale, and even identify any missing data and other anomalies.

HOW AIVA IS DIFFERENT FROM OTHER TECHNOLOGY

 

AIVA’s skills are comprised of Work Patterns that link together to meet various business needs.

These skills include her core work patterns of: Read, Comprehend, Ask, Know, Remember, Learn, Conclude, Review and Report. With the ability to understand the entire mortgage context, AIVA packages and combines work patterns into skills that align with all your essential processes.

AIVA FITS WITH YOUR EXISTING WORKFLOWS

Unlike purchasing large enterprise software, you won’t need to make a significant upfront investment of capital and time with AIVA. She’s independent and functions across the full suite of mortgage platforms. She nimbly adapts to your software and works alongside any other third-party vendor and can be on-boarded rapidly.

Best of all, she’s a risk-free hire. There is no “lock-in” with AIVA. You pay only for the work she does as she does it – on a per-loan or per-transaction basis – and we have explicit SLAs for her quality, throughput and deadlines. All of this makes AIVA different from other technologies.

MORE POWERFUL AND FLEXIBLE THAN ANY COMBINATION OF OCR AND RPA

 

While AIVA utilizes OCR as a foundational layer, it’s just a first step.

Analyze documents and interact real-time with borrowers to ensure ready state of loan applications and generate purchase agreements

AIVA can read any legible format from any file type.

She can even correct her initial interpretation by inferring contextual and semantic information.

Unlike RPA (robotic process automation), AIVA is not limited by defined rules.

While AIVA can remember rules (just like RPA), she does not rely on them. Instead, she receives a large volume of sample work and learns to automate based on previous outcomes.

If AIVA encounters uncommon or odd samples, she leverages her contextual understanding to assess the content and make an appropriate determination. Like a human, AIVA can read and infer a document type even if the type itself is not specifically shown.

CONTACT US

Address:
Black Knight Innovation Lab
1108 Chestnut Street, Suite 200
Philadelphia, Pennsylvania 19107