Inscribe cuts fraud review time 20x from 30 minutes to 90 seconds with Claude-powered risk agents
Inscribe, which builds AI Risk Agents for banks and fintechs, uses Claude on Amazon Bedrock to power fraud detection, document verification and risk analysis for financial institutions. The company's AI Fraud Analyst detects fraud in images and PDFs, runs KYC/KYB checks, and produces auditable risk reports in about 90 seconds, a 20x reduction from the prior 30-minute manual review. One fintech client increased loan application processing capacity 70x without adding headcount using Inscribe's Claude-powered risk agents.
Overview
Inscribe, which builds AI Risk Agents for banks and fintechs, uses Claude on Amazon Bedrock to power fraud detection, document verification and risk analysis for financial institutions. The company's AI Fraud Analyst detects fraud in images and PDFs, runs KYC/KYB checks, and produces auditable risk reports in about 90 seconds, a 20x reduction from the prior 30-minute manual review. One fintech client increased loan application processing capacity 70x without adding headcount using Inscribe's Claude-powered risk agents.
This entry has 13 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Financial institutions face an uphill battle against increasingly sophisticated fraud tactics as digital transactions surge; manual review processes, once a reliable safeguard, now create bottlenecks that hinder growth and customer satisfaction, especially among emerging fintechs and digital-first banks.
The solution
Inscribe uses Claude, deployed through Amazon Bedrock on its existing AWS infrastructure, to power a suite of AI Risk Agents: fraud detection analyzes patterns and anomalies in application data, document verification authenticates financial documents, and risk analysis summarizes complex financial data into nuanced risk assessments. Its AI Fraud Analyst detects fraud in images and PDFs, verifies applicant details through KYC and KYB checks, uncovers risky transactions, and provides auditable risk reports, all in about 90 seconds.
Reported business value
Inscribe reduced fraud review time by 20x, from 30 minutes to 90 seconds, and one fintech client increased loan application processing capacity by 70x without adding headcount. The reduction in manual review also expands access to financial products for thin-file, unbanked and credit-invisible individuals who are creditworthy but often overlooked, and Inscribe was able to test and deploy Claude in Amazon Bedrock within a day.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other financial services entries in the register.
Navy Federal Transforms Service With AI
Navy Federal Credit Union is reshaping banking for military members by unifying data and leveraging generative and agentic AI on the Databricks Data + AI Platform. By embracing AI-augmented workflows and upskilling teams, Navy Federal delivers customized services while streamlining productivity through responsible change management and data readiness.
Lloyds Banking Group cuts mortgage income verification from days to seconds with ML
Lloyds Banking Group, the UK's largest digital bank, migrated 15 modelling systems from on-premise infrastructure to Google Cloud's Vertex AI (now Agent Platform), giving over 300 data scientists and AI developers scalable machine learning capabilities. In six months the bank ran 80 new ML experiments and launched 18+ GenAI systems into production, including an algorithm that reduces the income verification step in mortgage applications from days to seconds. The migration also cut unplanned ML platform downtime to zero and saved 27 CO2 tonnes of operational emissions.
Banking Innovator bunq Supports Growth, Strengthens Security Using AWS
bunq, a Dutch neobank with over 11 million users across Europe, uses Amazon Bedrock for several generative AI use cases including summarizing new user data with large language models, removing the need for agents to process onboarding documents manually. Using Amazon Bedrock, bunq tripled user support process efficiency while maintaining over 90 percent accuracy. Sensitive data stays within bunq's AWS virtual private cloud, supporting GDPR and PCI DSS compliance alongside tools such as AWS CloudHSM, AWS Security Hub and AWS KMS.
TBC Bank Operationalizes Trusted Data with Lakebase
TBC Bank, the largest banking group in the Caucasus region, built a Lakehouse on Databricks and adopted Lakebase and Databricks Apps to move from on-premises SQL Server instances and month-long reporting cycles to self-service analytics and AI-driven applications, including a web-based AI chatbot and AutoML-based credit risk scoring. Credit risk model deployment fell from 14 weeks to two days, and more than 600 users regularly query governed data through Genie.
Was this helpful?
Your feedback helps us improve our use case database

