Diligent
Diligent is an AI tool designed to assist fraud and Anti-Money Laundering (AML) teams automate and enhance their due diligence customer con...
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What is Diligent?
Diligent AI builds autonomous AI agents specifically designed for KYC and AML operations in fintechs and banks. These agents automate repetitive manual tasks like risk investigations on legal entities, customer document reviews such as registry extracts and proofs of address, and remediation of false positive alerts from AML screening systems. By handling routine data processing and grunt work, the tool frees compliance analysts to focus on high-judgment investigative roles, scaling operations without increasing headcount.
Key features include customizable AI agents that learn from uploaded risk policies and procedures, seamless integration via API, portal, or native connections to existing screening tools, and full human oversight during deployment. Specific use cases cover merchant risk assessment by analyzing websites, socials, reviews, and filings; AML screening for sanctions, PEP, and adverse media; and document verification against policy requirements. The platform ensures auditable outputs, explainable decisions using large language models, and enterprise-grade security with SOC 2 Type II compliance.
Diligent is targeted at risk and compliance teams in banks, fintechs, and payment providers battling financial crime. It suits organizations overwhelmed by manual workflows, seeking to reduce costs, enhance risk detection through structured AI analysis, and improve customer onboarding speed. Trusted by companies like Scalapay, Alma, Tamara, Flywire, Allica Bank, and Teya, it's ideal for frontline defenders needing to outpace fraudsters and regulatory pressures.
Diligent pricing
Pricing model: Free
Pricing details are not publicly available on the website. Access requires requesting a demo; third-party sources mention possible monthly plans starting around $49.99 but official info mandates contacting sales for enterprise plans, inclusions, or trials.
Diligent pros
- Automates merchant risk investigations including websites and socials
- Remediates false positive AML screening alerts automatically
- Verifies customer documents like registry extracts against policies
- Integrates via API or portal with existing screening tools
- Customizes to specific risk policies and procedures
- Provides comprehensive audit trails for every decision
- Achieves SOC 2 Type II compliance for security
- Reduces manual reviews by 65% as seen with Scalapay
- Saves over 6000 operational hours annually per customer
- Enhances risk detection with structured AI reasoning
- Clears backlogs and scales volume 10x with same team
- Improves consistency in compliance processes
- Shortens customer onboarding times significantly
- Built by fintech and AML veterans for real workflows
- Deploys with human oversight for safe scaling
- Used daily by leading banks and global fintechs
- Handles unstructured data for deeper insights
Diligent cons
- Pricing not publicly listed, requires demo request
- Initial setup needed to connect systems and upload policies
- Limited to KYC/AML workflows, not other compliance areas
- Requires human oversight during early deployment
- Dependent on quality of uploaded risk policies
- Targeted only at financial institutions and fintechs
- Early-stage startup, potential for evolving features
- Integration time may vary by existing tech stack
- Focused on business customer due diligence primarily
Frequently asked questions about Diligent
What does Diligent AI do?
Diligent AI builds AI solutions that enhance risk and AML compliance teams by automating and strengthening customer due diligence controls. Fintechs and banks use it to streamline workflows like risk investigations on legal entities, reviewing customer documents such as registry extracts and proofs of address, and remediating false positive alerts from AML systems.
Does Diligent replace my existing systems?
No, Diligent integrates seamlessly with your current systems and vendors. You can use the simple UI or integrate the API into your internal tooling, getting up and running in hours or a few days.
Is Diligent's AI explainable and compliant?
Yes, it uses large language models to automate tedious L1 tasks while following your specific workflows and policies, leaving a comprehensive audit trail. Outputs are consistent, explainable, and auditable, with SOC 2 Type II compliance.
How do I get started with Diligent?
Identify manual KYC/AML workflows like risk reviews or alert remediation, connect via API/portal/integrations, upload your risk policies, and deploy with analyst review for oversight before scaling.
What are the main use cases?
Key use cases include merchant risk agent for investigating websites/socials/reviews/registries, AML screening agent for sanctions/PEP/adverse media false positives, and document verification agent for policy compliance.
Who uses Diligent?
Leading fintechs and banks like Scalapay, Alma, Tamara, Flywire, Allica Bank, Teya, and others in North America, Europe, Middle East, and Japan use it daily for KYC/AML operations.
What results have customers seen?
Customers report 65% reduction in manual risk reviews, over 6000 hours saved annually, slashed onboarding times, consistent auditable processes, and stronger systematic risk detection.
Is Diligent secure for enterprise use?
Yes, built secure by design with SOC 2 Type II compliance, validating security and operational discipline for platforms used by fintechs and banks worldwide.
Can Diligent handle merchant onboarding?
Yes, the merchant risk agent automatically investigates merchant websites, socials, reviews, and registry filings to identify risky businesses during onboarding.
How does Diligent improve efficiency?
It empowers teams to 10x volume with same resources, replaces manual checks with AI research, clears good customers faster, and lets analysts focus on investigations over data processing.