

Building automation in-house
Planet42 had to tackle the automation of their document intake processes: the IDs, driver’s licenses, and bank statements that applicants needed to submit.
This strategic pivot towards document automation came with two clear challenges: document validation, and document understanding.
Each is critical, as automating without validating and understanding opens the door to automated fraud (a costly loss when the assets are entire vehicles).
But they're also individually mammoth tasks, and with existing processes manually driven, the team had little data to leverage and get started.
The company acknowledged early on that on-the-ground validation teams wouldn’t be able to keep pace with the growth in applications.
“We knew it was going to multiply linearly with the number of people, and teams do not multiply well linearly, but processes do.”

Confident document automation security
To maintain control and best performance, the Planet42 data science team opted to leverage Amazon Textract to build their own workflows — and Resistant AI to protect them.
Partnering with Resistant AI took one of those mammoth tasks off the table. Automating document validation allowed the data science team to focus their efforts while relying on Resistant AI’s expertise to detect signs of tampering in every document.
Resistant AI’s document classification data was also an invaluable component, jump-starting Planet42's technical knowledge to enable important automation design decisions early on (such as determining which bank statements to validate).
“If you’re building an automation workflow, working with Resistant AI will save you a ton of time.”

Better document understanding and debt security
Resistant AI gave Planet42 a much better understanding of what their document set actually looked like, and where to focus parsing efforts. With evidence-based decisions, investor confidence grew knowing that new automations were well protected.
By helping turn a slow, manual application process into a fully automated one, it also allowed them to better securitize their debt.
“We have a fraud service that provides confidence to investors that the automations we are putting in place are well protected. The machine learning models are top notch, but it’s the teams and feedback loops that make Resistant AI special.”

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