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Introducing our newest AI Agent: the AI Fraud Analyst

Inscribe's AI Fraud Analyst automates manual fraud reviews so risk teams can spend less time on in-depth investigations and more time converting trustworthy customers.

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Inscribe ROI

1.5Mins

To review 30 customer applications

99%

Reduction in manual review times

$85k+

In additional productivity per full time employee

Why Inscribe

Automate complex workflows with AI

Here's why leading fintechs, banks, and lenders are automating complex, onboarding and underwriting workflows with pre-trained AI Risk Agents and state-of-the-art Risk Models.

Do more with less headcount

Risk and ops teams face unprecedented resource constraints — reduced budgets, hiring freezes, and limited engineering resources. With our AI Risk Agents, you can boost your team’s efficiency without increasing budget or headcount and quickly scale as your needs evolve.

Eliminate tedious review tasks

In an ultra-competitive market, fast response times are everything. Inscribe’s AI Risk Agents connect the dots across all your systems, so your team can focus on strategies for approving more customers, faster (instead of tedious tasks).

Reduce avoidable fraud losses

Shrinking margins and the macro environment mean that fraud and credit losses are no longer an acceptable cost of doing business. Inscribe uses the most advanced AI and machine learning technology to illuminate fraud and credit risks undetectable to human reviewers.

Solutions

State-of-the-art AI for risk teams

Our AI Risk Agents can read, write, and reason just like their human counterparts, but without the risk of human error. They autonomously perform routine tasks for onboarding and underwriting, including coordinating the outputs of various systems, summarizing findings, and recommending next steps. Because they run in parallel, 24/7, they have an uncapped ability to scale with team members and resources.

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If you’re not quite ready to get started with AI Risk Agents, you can leverage our state-of-the-art machine learning Models, including fraud detection, document parsing, and cashflow analysis. Because our Models have been trained on the largest, most diverse network of real-world documents from banks, fintechs, and lenders since 2017, they consistently deliver data you can trust.

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