Manual document collection slows down onboarding, frustrates applicants, and creates unnecessary work for fraud and operations teams.
Many organizations still rely on email chains to request documents, manually verify whether the correct files were submitted, and follow up when something is missing. Every additional request adds friction to the application process and increases the likelihood that applicants abandon it altogether.
Collect helps banks, lenders, and fintechs streamline secure document collection from the very beginning. Applicants receive a branded, self-service upload experience, while Inscribe validates document requirements before submission and immediately begins analyzing documents for fraud once they're received.
The result is a faster onboarding experience, fewer manual touchpoints, and quicker fraud decisions.
Document collection isn't just about receiving files. It's the first step in every fraud investigation. Collect helps teams:
Instead of treating document collection and fraud detection as separate workflows, Collect connects them into one continuous experience.
Collect can be customized with your organization's logo, colors, and messaging so applicants experience a seamless extension of your existing application process. Whether applicants upload documents through email, a secure link, or an embedded experience, the workflow remains consistent and fully branded.
Collect makes it easy to request documents from applicants in just a few clicks. From the customer view in Inscribe, select Collect, choose the documents you need, and either send the request by email or generate a secure shareable link.

Applicants receive a secure upload request by email or through the shareable link. From there, they can upload the requested documents directly into your branded portal.

The portal is designed to reduce back-and-forth by validating uploads before they're submitted. You can require documents to meet specific criteria, such as:
If a document doesn't meet your requirements, applicants receive immediate feedback explaining what needs to be corrected before submitting. That means fewer follow-up emails, fewer incomplete submissions, and a faster onboarding experience for both your team and your applicants.

The moment documents are submitted, Inscribe begins analyzing them using layered document fraud detection. Documents are screened for manipulation, AI-generated content, forensic inconsistencies, reused templates, repeated balances, and other fraud signals before reviewers ever open the application.
Instead of manually reviewing every document, analysts receive a clear risk assessment with supporting evidence that helps them investigate faster and make more confident decisions.
Collect can also be integrated directly into your existing workflow using our API or embeddable iFrame, creating a seamless document collection experience without requiring applicants to leave your application.
Collect is the front door to Inscribe's document fraud platform. After documents are submitted, teams can:
Everything happens in a single workflow, helping teams reduce manual work while improving fraud detection.
Gig Wage relied on a manual onboarding process that required employees to individually request documents, follow up with applicants, and manually review every submission. The result was slower onboarding, increased operational work, and unnecessary fraud risk.
Gig Wage integrated Collect directly into its onboarding workflow using Inscribe's API. Applicants could securely upload documents through a self-service experience while Inscribe automatically validated document requirements and began screening submissions for fraud immediately after upload. Instead of managing document requests manually, the fraud team could focus on reviewing high-risk applications.
Using Collect, Gig Wage:

Ready to streamline secure document collection and detect document fraud faster? Speak with a member of our team.
Stephanie Spangler is the Head of Product Marketing at Inscribe, where she covers AI-powered fraud detection, document risk, and how financial institutions are adopting agentic AI. She writes on the intersection of product and practice — translating what fraud detection technology does into what it means for the risk teams using it.
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