A global Tier-1 financial institution modernized its Client Due Diligence (CDD) operations within their Know Your Customer (KYC) process by deploying LandingAI’s Agentic Document Extraction. Facing rising document volumes, manual review bottlenecks, and increasing regulatory pressure & complexity, the bank introduced AI-driven document intelligence to augment analysts and streamline complex KYC workflows.
The solution automated extraction across large, non-standard and multi-lingual corporate documents—often hundreds of pages per client—while integrating seamlessly with their existing KYC platform, powered by an RPA software. Running on AWS infrastructure, LandingAI’s agentic approach delivered measurable operational impact without disrupting established processes.
As a result, the bank achieved a 40–60% reduction in manual document review time, saving hundreds of analyst hours per week across global KYC teams. The bank improved data consistency and auditability, accelerated onboarding and refresh cycles, and strengthened its compliance posture, while scaling KYC capacity without adding headcount.
By combining LandingAI’s Agentic Document Extraction(ADE) with the scalability, reliability, and security, the bank transformed KYC from a manual bottleneck into a cloud-native, AI-powered capability built to scale with regulatory complexity and business growth.
Customer Overview
A global Tier-1 financial institution providing wealth management and wholesale banking services to corporate and ultra high net worth clients across regions, industries, and regulatory regimes. Operating at massive scale, the bank manages complex onboarding and ongoing compliance processes for some of the world’s largest and most sophisticated organizations and customers.
At the core of these operations is Know Your Customer (KYC)—a regulatory requirement designed to prevent financial crime, e.g. AML (Anti-Money Laundering), assess risk, and ensure compliance with global standards.
The Challenge: Manual KYC at Global Scale
KYC in wholesale banking is fundamentally document-driven. For each corporate client, the bank must collect, review, and validate large volumes of documentation, including:
- Incorporation and registration records
- Ownership and beneficial ownership structures
- Board and directorship information
- Annual reports and financial statements
- Regulatory and jurisdiction-specific filings
Each client can submit multiple documents that can reach up to 200–300 pages, and the process often repeats multiple times per year due to regulatory refresh requirements. Additionally, high-risk customers are subject to a more rigorous Enhanced Due Diligence (EDD) process.
Historically, this work relied on large teams of analysts manually reviewing documents and entering data into downstream systems. The result was a process that was:
- Slow and expensive to operate
- Difficult to scale during volume spikes
- Prone to inconsistency and human error
- Increasingly risky in a tightening regulatory environment
At the same time, high-profile enforcement actions across the banking industry reinforced the cost of ineffective KYC—both financially and reputationally. The bank recognized that traditional automation approaches were no longer sufficient.
Increasing Demand on Client Due Diligence Modernization
To address these challenges, the bank launched a Client Due Diligence (CDD) modernization initiative. The objective was not to replace analysts or rip out existing systems, but to fundamentally improve how documents are processed and how information flows through the KYC lifecycle.
Key goals included:
- Reducing time spent on manual document review
- Improving data accuracy, and consistency with full auditability & traceability
- Integrating AI into existing KYC platforms and workflows
- Building a flexible and scalable, cloud-native architecture that could evolve over time
This initiative created the opportunity to introduce AI-driven document intelligence as a core capability.
Why LandingAI
The bank evaluated several document automation solutions, but many fell short of enterprise requirements. Some required extensive training data and fine-tuning, which was impractical for sensitive financial documents. Others relied on rigid templates that failed on non-standard or visually complex files.
LandingAI stood out for its ability to extract structured information from highly complex documents without requiring templating or any training. Its Agentic Document Extraction (ADE) platform combines:
- Layout-aware parsing
- Visual grounding across text, tables, and diagrams
- Agent-based reasoning to correlate entities across documents
Equally important, LandingAI aligned with the bank’s strategy to deploy on their Virtual Private Cloud infrastructure, meeting strict security, scalability, and compliance requirements.
“Accuracy and auditability are non-negotiable in KYC. LandingAI helped us standardize extraction across regions and teams, strengthening our compliance posture while reducing manual effort and fitting cleanly into our existing workflows.”
— Senior Leader, Financial Crime & Compliance Platform
The Solution: Agentic Document Extraction
LandingAI partnered with the bank to deploy an AI-powered document intelligence solution built on AWS.
The solution begins with intelligent ingestion and indexing of KYC documents within the bank’s AWS environment. LandingAI ADE uses layout-aware parsing and visual grounding to understand document structure, extracting text, tables, diagrams, and visual elements.
Using LandingAI’s proprietary foundation models running on AWS GPUs, ADE performs agentic extraction. This enables the system to reason across documents and identify relationships such as corporate hierarchies, beneficial owners, directors, and shareholders.
Extracted data is securely staged within AWS compute services and integrated into downstream KYC platforms and workflows. Analysts remain in the loop, reviewing and validating outputs, but their role shifts from manual document reading to higher-value analysis and decision-making.
The result is a cloud-native, scalable document intelligence layer that augments existing KYC systems without disrupting them.
High-level solution architecture example
Primary Use Case: Client Due Diligence (CDD)
The initial production deployment focuses on document extraction for Client Due Diligence.
LandingAI ADE processes large volumes of complex, non-standard corporate documents and extracts required KYC fields with high accuracy. Structured outputs are delivered directly into existing workflows, accelerating review cycles and improving consistency.
Success Criteria
- High accuracy of extracted fields across diverse document types and languages
- Reduced manual review time for analysts
- Seamless integration with existing KYC platforms
- Compliance with strict data governance and security standards
Results and Business Impact
While the program continues to expand, early deployments have established a strong foundation for measurable impact:
- 40–60% reduction in manual document review time for CDD analysts, allowing teams to focus on risk assessment rather than document reading
- Hundreds of analyst hours saved per week across global KYC operations, driven by automated extraction of complex corporate documents, saving millions per year
- Consistent, high-accuracy extraction across non-standard and visually complex documents, improving data quality and auditability to mitigate risk
- Faster onboarding and refresh cycles, reducing time-to-decision for corporate and private clients, providing better customer experience
Beyond efficiency, the solution delivered meaningful risk and compliance benefits:
- Improved consistency and standardization of KYC data across regions and teams
- Reduced operational risk by minimizing manual handling of sensitive documents
- Stronger compliance posture, with more traceable, auditable extraction outputs
Importantly, these gains were achieved without replacing existing KYC platforms or workflows. LandingAI’s API-driven solution integrated seamlessly into the bank’s environment and existing systems, enabling modernization while preserving operational continuity.
Looking Ahead
The bank plans to extend Agentic Document Extraction across additional stages of the KYC lifecycle, including:
- Customer Identification Programs (CIP)
- Enhanced Due Diligence (EDD)
- Ongoing monitoring and refresh cycles
Future phases include deeper integration with internal data platforms, expanded use of embeddings and graph-based representations for entity resolution, and continued evolution of the bank’s in-house KYC applications on AWS.
By combining LandingAI’s Agentic Document Extraction with the scalability, reliability, and security of cloud technologies, the bank is transforming KYC from a manual bottleneck into a strategic, AI-powered capability—built to scale with regulatory complexity and business growth.
Get Started
- Start for free: Explore Agentic Document Extraction at va.landing.ai
- Build faster: Access sample workflows and helper scripts on GitHub: https://github.com/landing-ai/ade-helper-scripts
