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AI-Powered Due Diligence Screening: Unlocking True Straight-Through Processing for Compliance

In the evolving landscape of compliance, financial institutions, regulated businesses and large corporations face mounting pressure to streamline Know Your Customer (KYC) processes, meet anti-money laundering (AML) requirements, and manage third-party risk efficiently. Traditionally, KYC and supplier screening has been a resource-intensive process, with human analysts manually reviewing each subject, often spending several minutes on individuals and entities that present no actual risk.

With AI-powered KYC screening technology, organizations can now fully automate the bulk of their customer or supplier base, allowing compliance teams to focus only on genuinely high-risk cases. This shift towards straight-through processing (STP) is revolutionizing compliance operations, significantly reducing costs, improving efficiency, and enhancing regulatory confidence.

The Challenge of Traditional KYC and Supplier Screening

Historically, third-party screening was a high-touch process where due diligence analysts had to manually review each subject, even when the likelihood of identifying risk was minimal. This approach led to several inefficiencies:

1. Wasted Time on Low-Risk Subjects

• A vast majority of clients and suppliers present no risk at all, yet compliance teams still had to manually process them.

• Even a few minutes per subject can add up to thousands of hours wasted each year.

2. Human Bottlenecks

• Compliance teams struggled to scale as client and supplier bases expanded, increasing costs and operational burdens.

• A manual approach could not keep up with the speed of regulatory change and global transaction volumes.

3. False Positives and Inefficiency

• Simple name-matching algorithms produced excessive false positives, forcing analysts to clear unnecessary alerts.

• Many cases required no actual review, but human intervention was needed just to confirm they were clean.

To address these inefficiencies, AI-driven due diligence automation solutions now enable true straight-through processing—allowing compliance teams to fully automate low-risk cases, eliminating human review where unnecessary.

AI-Powered Straight-Through Processing (STP): A Game Changer for Due Diligence

STP is the ultimate goal of AI-powered due diligence automation. It enables compliance systems to handle the majority of cases without human intervention, escalating only high-risk subjects for manual review.

1. Automating Low-Risk Cases with AI

By using advanced AI-driven screening tools, businesses can automatically clear clients and counterparties who:

Have no adverse media mentions, such as legal issues

Do not appear on watchlists or sanctions lists

Have no politically exposed person (PEP) status

With intelligent risk scoring, compliance teams can confidently let low-risk cases pass through without human review.

2. Multilingual Natural Language Processing (NLP) for Automated Adverse Media Screening

One of the biggest challenges in automating KYC is the ability to process unstructured data, such as online news and web pages.

AI-powered multilingual NLP solves this challenge by:

Scanning news in multiple languages and non-Latin scripts (e.g., Mandarin, Arabic, Cyrillic).

Identifying relevant context (e.g., “John Smith convicted of fraud” vs. “John Smith attended a fraud prevention seminar”).

Extracting and categorizing risk factors automatically (e.g., financial crime, ESG violations, regulatory breaches).

By eliminating false positives and accurately classifying risk, AI-powered multilingual NLP enables true STP, ensuring that only real risks are flagged for human review.

3. Smart Entity Resolution & Identity Matching

A major inefficiency in traditional due diligence screening is the misidentification of subjects due to:

Common names

Variations in spelling

Aliases and nicknames

Multiple languages and scripts

AI-powered entity resolution algorithms solve this by:

Identifying the correct individual or entity despite spelling variations.

Matching subjects to their true risk profile rather than generating unnecessary alerts.

Enhancing data accuracy over time, improving compliance outcomes.

By minimizing false alerts and redundant reviews, AI-driven entity resolution ensures that only relevant cases require manual intervention, reinforcing the efficiency of straight-through processing.

Key Benefits of AI-Driven Due Diligence Automation

1. Over 95% of Cases Can be Fully Automated

With AI-powered risk assessment and decisioning, most subjects are cleared without human review, saving thousands of hours in compliance effort.

2. Human Review Focused Only on High-Risk Cases

Instead of reviewing every subject manually, compliance teams can dedicate their expertise to cases that actually require investigation.

3. Faster Onboarding and Due Diligence

STP reduces customer onboarding time from weeks to minutes.

Suppliers and counterparties can be screened instantly, improving business agility.

4. Lower Compliance Costs & Higher Efficiency

Automated due diligence screening reduces operational costs, freeing up resources for strategic risk management.

Fewer false positives reduce unnecessary case reviews, lowering compliance workload.

5. Regulatory Confidence & Audit Readiness

• AI ensures that all screening decisions are fully documented and explainable, improving audit compliance.

Regulators increasingly recognize AI-driven compliance tools as best practice.

The Future of Compliance: AI-Driven Risk Intelligence

Straight-through processing is just the beginning of the AI revolution in compliance. As AI models continue to evolve, we will see:

1. Greater Predictive Capabilities

• AI will anticipate emerging financial crime and other risks before they appear in structured data sources.

2. Continuous Learning & Adaptive Risk Models

• Machine learning will adapt to new compliance risks, improving risk detection accuracy over time.

3. Deeper Integration with Other Compliance Tools

• AI-powered due diligence will seamlessly integrate with transaction monitoring, payment screening, fraud detection and other systems.

By embracing AI-powered due diligence automation, financial institutions, regulated businesses and large corporations can significantly improve compliance efficiency, eliminate unnecessary human intervention, and achieve true straight-through processing for the majority of their customer and supplier base.

Traditional due diligence screening relied too heavily on human review, wasting time on subjects that presented no real risk. With AI-powered adverse media screening, multilingual NLP, and entity resolution, businesses can now automate the majority of their compliance workflows, focusing human effort only where it’s truly needed.

Straight-through processing is no longer just an ambition—it is a real, achievable solution that reduces costs, improves efficiency, and ensures regulatory compliance. As compliance teams adopt AI-driven automation, they can focus on real risks while allowing low-risk cases to be processed automatically, ensuring a faster, smarter, and more effective approach to due diligence.

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This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.

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