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Jump-starting automation for Planet42
Rent-to-buy car subscription service Planet42 accelerated their document automation efforts with document fraud detection software, improving risk models and securing investor confidence (without hindering rapid growth in emerging markets).
Seconds to process applications
400,000+ Documents verified
"Doing automated validation with Resistant AI as a fraud safeguard helps to prevent potentially huge losses in assets." Adam Kelly Lead Data Scientist at Planet42
Planet42
  • Rent-to-buy car subscription service
  • Operating in South Africa and Mexico
Needs
  • Automated document intake at scale
  • Prevent costly asset losses
  • Support in-house risk models
Problem At Planet42, manual verification couldn’t scale with rising applications, prompting a strategic shift: automating both document validation and understanding. Solution Slow, manual application checks became fully automated, fraud-resistant processes. Resistant AI helped the team focus on workflow design, make smarter automation decisions, and even strengthen debt securitization. Related products

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.”
Adam_kelly_p42
Adam Kelly Lead Data Scientist at Planet42.

 

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.”
Adam_kelly_p42
Adam Kelly Lead Data Scientist at Planet42.

 

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.”
Adam_kelly_p42
Adam Kelly Lead Data Scientist at Planet42.
Planet42
  • Rent-to-buy car subscription service
  • Operating in South Africa and Mexico
Needs
  • Automated document intake at scale
  • Prevent costly asset losses
  • Support in-house risk models
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“Resistant AI gave us a much better understanding of what our document set actually looked like, and where to focus our parsing efforts.”
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