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Duna AI

AI-Native Compliance Infrastructure for Faster Business Onboarding

Screenshot of Duna AI – An AI tool in the ,AI Consulting Assistant ,AI Legal Assistant  category, showcasing its interface and key features.

What is Duna AI?

Duna is an AI-native compliance platform designed for businesses that need to onboard customers, manage KYC and KYB processes, and keep compliance work moving without relying on endless manual checks. Instead of treating compliance as a collection of disconnected tasks, it brings onboarding, case management, lifecycle monitoring, policy management, and data orchestration into one environment.

The platform is particularly suited to regulated businesses where customer experience and compliance have to work together. Its AI agents can help verify documents, review evidence, recommend decisions, and prepare summaries, while human analysts remain responsible for important judgments. The company says its customers can achieve up to 10.6x faster onboarding, 4.8x greater analyst efficiency, and a 37% increase in conversion.

Key Features

  • AI agents for document verification, periodic reviews, and decision recommendations.
  • Automated KYC, KYB, AML, PEP, sanctions, and adverse media workflows.
  • More than 20 KYB modules for configuring business onboarding requirements.
  • Access to more than 210 local registries and support for 7+ languages.
  • Automated case management with prioritization, escalation, collaboration, and risk scoring.
  • Daily monitoring and automated re-KYC and re-KYB processes.
  • Centralized compliance communication and audit trails.
  • Data orchestration through a network of KYC technologies and data providers.
  • Smart routing and fallback procedures to improve data coverage and reliability.

User Interface

The interface is built around the practical workflow of compliance teams rather than a collection of isolated AI features. Businesses can configure onboarding journeys, manage cases, review findings, monitor customers, and keep track of compliance activity from the same platform.

The no-code approach used for onboarding is especially useful for teams that want to adjust their customer journeys without building every change from scratch. Dynamic interfaces, data pre-fills, reminders, and risk-based data collection can also help reduce unnecessary friction for customers.

Accuracy & Performance

Compliance automation needs more than fast processing; it needs traceable reasoning and appropriate human oversight. The platform takes this approach by applying business and compliance policies to AI-assisted workflows and providing evidence behind decisions.

Its AI agents are designed to identify unclear, unusual, or higher-risk cases rather than simply forcing every case through automation. That makes the system more practical for real compliance operations, where exceptions are often as important as straightforward approvals.

The reported performance figures are also notable. The company highlights 10.6x faster onboarding and 4.8x analyst efficiency, while reporting a 37% conversion increase. Actual results will naturally depend on the organization, workflow design, data sources, and compliance requirements involved.

Capabilities

The platform covers several stages of the customer compliance lifecycle. During onboarding, teams can collect business information, verify identities, perform KYC and KYB checks, and adapt data collection according to risk.

Once a case enters review, automated tasks can handle repetitive work while analysts focus on decisions that require judgment. The system can also support AML investigations, document analysis, instant approvals for cases that meet predefined criteria, and secure communication with customers.

After onboarding, continuous monitoring helps organizations keep track of PEP, sanctions, adverse media, and discrepancies. Periodic reviews can be automated as part of a broader re-KYC or re-KYB process, reducing the amount of repetitive follow-up work for compliance teams.

Security & Privacy

Security and auditability are central to a compliance platform because the information being processed can be highly sensitive. The platform is designed around controlled workflows, traceable decisions, and centralized records rather than informal communication scattered across email and other tools.

Compliance policies can be translated into operational workflows, while interactions, decisions, and policy changes can be recorded as traceable events. This creates a useful audit trail for organizations that need to understand how a particular compliance outcome was reached.

Organizations should still review the provider's current security documentation, contractual terms, data-processing arrangements, and regulatory requirements before deploying the platform for sensitive production workloads.

Use Cases

  • Business onboarding: Create compliant onboarding journeys while reducing unnecessary customer friction.
  • KYC and KYB: Collect and verify customer and business information using configurable workflows.
  • AML screening: Automate parts of PEP, sanctions, and adverse media screening and investigation.
  • Document verification: Analyze and validate documents as part of customer compliance checks.
  • Periodic reviews: Automate recurring customer reviews and re-KYC processes.
  • Compliance case management: Prioritize, assign, escalate, and resolve cases in one environment.
  • Regulated enterprises: Support organizations that need compliance processes to scale across countries and products.
  • Audit preparation: Maintain structured records of decisions, interactions, evidence, and policy changes.

Pros and Cons

Pros

  • Combines AI automation with human oversight.
  • Broad coverage across onboarding and the customer compliance lifecycle.
  • No-code onboarding workflows can reduce implementation friction.
  • Strong focus on auditability and policy-driven decisions.
  • More than 20 KYB modules provide flexibility for enterprise requirements.
  • Global coverage includes 210+ local registries and 7+ languages.
  • Built-in data orchestration can reduce the complexity of managing multiple providers.

Cons

  • The platform is primarily aimed at businesses with serious compliance requirements rather than casual users.
  • Organizations with simple verification needs may find the broader platform more extensive than necessary.
  • Pricing information is not publicly presented as a standard self-service plan.
  • Implementation and configuration may require planning for larger enterprise deployments.

Pricing Plans

Pricing is not presented as a conventional public tiered subscription on the website. The platform is positioned toward regulated enterprises and encourages prospective customers to get started or schedule a demo.

This approach makes sense for compliance infrastructure because the cost of deployment can vary considerably depending on countries, verification requirements, data providers, transaction volume, workflows, and the level of automation required. Businesses considering the platform should contact the provider for pricing based on their specific compliance setup.

How to Use the Platform

  1. Start by identifying the customer onboarding and compliance processes that need automation.
  2. Configure the required KYC, KYB, AML, identity verification, and business data checks.
  3. Define policies and risk rules that determine how different cases should be handled.
  4. Build the relevant onboarding journey and configure the information customers need to provide.
  5. Connect the required data sources and verification providers.
  6. Use automated workflows to handle routine checks and send unusual or higher-risk cases to analysts.
  7. Monitor customers over time and configure periodic reviews where required.
  8. Review audit records and decision evidence to maintain visibility across the compliance process.

Comparison with Similar Tools

Many compliance products concentrate on a particular part of the verification process, such as identity checks, document verification, AML screening, or business verification. This platform takes a broader approach by connecting onboarding, decision-making, case management, lifecycle monitoring, policy management, and data orchestration.

That distinction matters for larger organizations. A company that only needs an identity verification API may not need an entire compliance infrastructure layer. On the other hand, teams managing multiple markets, complex KYB requirements, recurring reviews, and large volumes of compliance cases may benefit from having these processes connected rather than maintaining several separate systems.

The AI component is another point of difference. Instead of positioning AI simply as a content or chatbot feature, the platform uses agents for operational compliance work such as evidence evaluation, document analysis, decision recommendations, and case summaries, while keeping analysts involved when judgment is required.

Conclusion

For regulated businesses, compliance can quickly become a bottleneck when every document, review, and customer request depends on manual intervention. This platform offers a more connected way to handle that workload, combining configurable onboarding with AI-assisted reviews, automated case management, continuous monitoring, and auditable decision-making.

Its strongest appeal is not a single flashy AI feature. It is the way automation is placed inside an actual compliance workflow. Teams can automate repetitive work while retaining human control over important decisions, which makes the approach particularly relevant for organizations where speed must never come at the expense of accountability.

Frequently Asked Questions (FAQ)

What type of businesses can benefit from the platform?

It is designed primarily for regulated businesses and enterprises that need structured customer onboarding, KYC, KYB, AML, identity verification, monitoring, and compliance case management.

Can AI make compliance decisions automatically?

AI can evaluate evidence and propose decisions based on configured policies. The system is also designed to flag unclear, unusual, or high-risk cases for human review, allowing organizations to maintain oversight.

Does it support KYB?

Yes. The onboarding environment includes more than 20 KYB modules and can be configured around different business verification requirements.

Can customers be monitored after onboarding?

Yes. Ongoing monitoring can cover areas such as PEP, sanctions, adverse media, and discrepancies, while periodic reviews can support re-KYC and re-KYB workflows.

Does it support multiple countries?

The platform provides access to more than 210 local registries and supports 7+ languages, making it suitable for organizations operating across multiple markets.

Does the platform provide audit trails?

Yes. Interactions, decisions, and policy changes can be recorded as traceable events, helping compliance teams maintain a clear history of how cases were handled.

Is there a public pricing plan?

No standard public pricing tiers are presented on the website. Businesses are directed toward getting started or arranging a demo to discuss their requirements.

Can it reduce manual compliance work?

That is one of its main purposes. Automated tasks, document analysis, screening workflows, decision recommendations, and case management can reduce repetitive work and allow analysts to spend more time on cases that require human judgment.


Duna AI has been listed under multiple functional categories:

AI Consulting Assistant , AI Legal Assistant .

These classifications represent its core capabilities and areas of application. For related tools, explore the linked categories above.


Duna AI details

Pricing

  • Freemium

Apps

  • Web App

Categories

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