Digital Onboarding & KYC Automation for Asian Banks

FAQs

• 1. What is a NIGO rate in financial services, and how can we reduce it?

  In financial services, a Not In Good Order (NIGO) rate measures the percentage of applications or forms that are incomplete, inconsistent or contain errors and therefore cannot be processed straight through. High NIGO rates are usually driven by manual data entry, unclear forms and disconnected systems which leads to failure to meet compliance and regulatory requirements.

  To reduce NIGO rates, institutions typically:
  
  • Replace static PDFs with guided digital forms that validate required fields and formats in real time.
  • Use data verification to cross-check customer inputs against internal and external data sources before submission.
  • Pre-fill customer and product data from core banking, CRM or policy systems.
  • Standardise templates and workflows so front-line teams and customers always use the latest, compliant version.

  Docusign Intelligent Agreement Management (IAM) supports this by combining interactive web forms, template libraries, data verification and integrations with core systems to minimise re-keying and catch most issues before an application is submitted.

• 2. How do you achieve straight-through processing (STP) in customer onboarding?

  Straight-through processing (STP) means a customer onboarding request can travel from application to decision and fulfilment without manual intervention, except for defined exceptions.

  In Singapore and Hong Kong, achieving STP typically involves
  
  • Digitising the end-to-end journey from data capture through signing, approvals and record creation.
  
  • Applying validation and business rules at the form level so applications are complete and consistent.
  
  • Embedding digital identity verification and KYC checks that can be completed in-session. This includes leveraging trusted tools like Singpass for Singapore and iAM Smart in Hong Kong.
  
  • Integrating agreement workflows directly with core banking, LOS, CRM and document repositories so data and documents flow automatically.

  Docusign IAM orchestrating agreement workflows with Workflow Builder, integrating identity verification and data checks, and connecting to core platforms so approved applications, including Singpass and iAM Smart so approved applications can post automatically without manual re-keying.

• 3. What is the difference between B2C KYC and B2B KYB onboarding?

  B2C KYC (Know Your Customer) focuses on verifying natural persons: confirming identity, assessing customer risk and screening individuals against sanctions, politically exposed person (PEP) and adverse media lists. In Singapore and Hong Kong, this typically aligns with MAS and HKMA expectations for individual customer onboarding and ongoing due diligence.

  B2B KYB (Know Your Business) focuses on legal entities: verifying company registration and status, understanding ownership and control structures (including ultimate beneficial owners), and screening both the entity and relevant individuals. KYB onboarding often requires collecting company documents (e.g., business registration, board resolutions) alongside KYC on directors and UBOs.

  Docusign IAM supports both journeys by orchestrating separate but connected workflows for entity documentation and individual KYC, capturing signatures from the right parties and maintaining a complete audit trail of how the business and its owners were onboarded across B2C and B2B use cases.

• 4. What are the best practices for digital customer onboarding in banking?

  Best practices for digital customer onboarding in banking in Singapore and Hong Kong include:
  
  • Offering a mobile-first, omnichannel experience where customers can start, pause and resume across devices and channels.
  
  • Using dynamic, guided forms that only display relevant questions and validate data formats and syntax, in real time.
  
  • Embedding eKYC and digital identity verification directly into the flow (for example Singpass-powered flows in Singapore and iAM Smart–enabled verification via Tradelink in Hong Kong) so customers do not have to complete separate identity steps.
  
  • Applying risk-based orchestration so low-risk customers can complete onboarding quickly, while higher-risk profiles are automatically routed to enhanced checks.
  
  • Integrating onboarding journeys with core systems, so approved applications and signed agreements are automatically stored, updated and made available for servicing.

  Docusign IAM for Banking supports these practices through web forms, identity verification, multichannel delivery, workflow automation and deep integrations into core banking and imaging platforms.

• 5. How does facial recognition and liveness detection automate KYC?

  Facial recognition and liveness detection automate parts of KYC by replacing manual, in-person document checks with biometric comparisons performed in real time.

  In a typical flow:
  
  1. The customer captures an image of a government-issued identity document.
  
  2. The customer takes a selfie or short video.
  
  3. The identity provider uses facial recognition to compare the face on the document with the live image.
  
  4. Liveness detection techniques confirm a real person is present rather than a static image or deepfake.

  If the biometric and document checks pass and any sanctions or PEP screening is clear, the KYC step can be approved automatically without branch staff involvement.

  In Singapore and Hong Kong, many institutions rely on certified identity providers and national digital identity frameworks such as Singpass and iAM Smart. Docusign IAM does not perform biometric matching itself, but orchestrates these checks by integrating with KYC and identity verification providers, including Singpass and iAM Smart and embed their results into the end-to-end onboarding workflow and audit trail.

• 6. How does digital onboarding reduce client abandonment rates?

  Digital onboarding reduces abandonment by making it faster, clearer and more convenient for customers to complete applications. Common abandonment drivers in Singapore and Hong Kong include long or confusing forms, repeated data entry and the need to visit branches to complete paperwork or identity checks.

  A well-designed digital journey addresses these by:
  
  • Using intuitive, mobile-friendly forms with progress indicators.
  
  • Pre-filling known data from existing relationships or national digital identity frameworks.
  
  • Validating information in real time so errors can be corrected immediately.
  
  • Embedding eKYC and e-signature so customers can complete everything in one session.
  
  • Offering follow-up via email or messaging for partially completed journeys.

  By combining web forms, responsive signing, multichannel delivery and agreement summarisation, Docusign IAM helps institutions reduce friction at each step, which in turn lowers abandonment rates and increases completion and conversion.

• 7. What is Perpetual KYC (pKYC), and how does it differ from periodic KYC?

  Perpetual KYC (pKYC) is a continuous approach to customer due diligence where risk is monitored and updated on an ongoing basis using event-driven triggers and data feeds, rather than only at fixed intervals.

  Traditional periodic KYC revisits customer profiles every one, three or five years based on risk rating, which can leave long periods where material changes go undetected.

  With pKYC:
  
  • Changes such as new adverse media, unusual activity, updated ownership information or changes in geography can trigger automatic reviews.
  
  • New documentation and declarations can be requested immediately, rather than waiting for the next scheduled review.
  
  • Risk scores and profiles can be kept current, improving AML and fraud controls.

  In Singapore and Hong Kong, many institutions are moving towards pKYC models while still meeting MAS and HKMA expectations on periodic reviews. Docusign IAM complements pKYC by making it easy to trigger and track new agreement and documentation workflows when a KYC system flags a change, ensuring that updated declarations, consents and supporting documents are captured, signed and stored with a full audit trail.

• 8. How is AI used in Anti-Money Laundering (AML) compliance?

  AI is increasingly used in AML compliance to improve detection quality and reduce manual effort. Common applications include:
  
  • Transaction monitoring models that identify unusual patterns and behaviours more effectively than simple rules.
  
  • Name screening and network analytics that reduce false positives by understanding relationships between entities.
  
  • Alert prioritisation that scores alerts based on likely risk, helping teams focus on the highest-value investigations.
  
  • Document and data extraction that structures unstructured KYC and CDD information for downstream analysis.

  In Singapore and Hong Kong, AI is typically deployed within specialised AML and fraud systems governed by MAS and HKMA expectations; it does not replace regulatory judgement or accountability.

  Docusign Iris, the AI engine for Docusign IAM, is focused on agreements and related documents: it can help extract key data from onboarding and KYC documentation, surface anomalies in agreement attributes and support case teams by making agreement evidence easier to search and review, but it is not a replacement for dedicated AML transaction monitoring solutions.

• 9. How can financial institutions defend against deepfakes and synthetic identity fraud during onboarding?

  Defending against deepfakes and synthetic identity fraud requires a layered approach that combines strong identity proofing, risk-based controls and good operational discipline.

  Practical measures include:
  
  • Using certified digital identity providers that combine document authenticity checks, biometric facial comparison and advanced liveness detection.
  
  • Combining identity verification with device, IP and behavioural risk signals to detect anomalies.
  
  • Applying risk-based verification so higher-risk scenarios automatically trigger stronger checks or manual review.
  
  • Ensuring there is a complete audit trail of how identity was verified and by which systems.
  
  • Periodically tuning controls based on emerging fraud patterns and typologies.

  In Singapore and Hong Kong, this often means combining Singpass or iAM Smart-based identity flows, bank-led KYC and specialised fraud tools. Docusign IAM contributes by orchestrating these identity and fraud checks in the context of agreement workflows, enforcing risk-based verification policies, and maintaining tamper-evident audit trails and certificates of completion for all agreements processed in one single unified platform - IAM.