Cut Through the Noise: Building a Forced Labor Compliance Program That Works

As enforcement of the Uyghur Forced Labor Prevention Act (UFLPA) continues to evolve, many apparel importers find themselves facing a familiar problem.

It’s not a lack of supply chain data.

It’s having too much of it.

Organizations today can purchase supplier intelligence, supply chain mapping tools, ESG platforms, risk databases, and screening services. Yet many compliance teams still struggle to answer a straightforward question: Could we produce the evidence that Customs and Border Protection (CBP) would expect if one of our products were detained tomorrow?

That question is becoming increasingly important as companies face growing pressure to demonstrate where products come from, how they were made, and whether their supply chains can withstand regulatory scrutiny. Meanwhile, organizations must navigate an expanding patchwork of forced labor, human rights, and supply chain due diligence requirements from governments around the world.

The Compliance Trap of Mistaking Data for Readiness

Many organizations assume they need complete visibility into every tier of their supply chain before they can meaningfully address forced labor risk. In reality, that approach can become expensive, time-consuming, and difficult to sustain.

Customs authorities don’t ask importers to demonstrate theoretical visibility into an entire supply chain. They ask companies to provide evidence supporting specific products, suppliers, sourcing decisions, and import transactions.

That distinction matters. A business may possess extensive supply chain intelligence while still being unable to quickly assemble the documentation needed to support a product’s origin, production history, and chain of custody. The objective isn’t to collect more data. It’s to identify, organize, and maintain the evidence that regulators, auditors, customers, and business partners are most likely to request. 

This theme sits at the heart of the upcoming USFIA AI Clinic and reflects a growing recognition that compliance teams need actionable evidence, not simply larger volumes of information.

A Different Approach Starts With the Product

One concept gaining traction among importers is product-level traceability. Rather than attempting to map every supplier relationship across a global sourcing network, organizations can begin with specific products, sourcing programs, or higher-risk categories and build evidence around those items.

This often includes:

• Purchase orders.
• Commercial invoices.
• Bills of lading.
• Certificates of origin.
• Manufacturing records.
• Supplier attestations.
• Compliance certifications.
• Internal sourcing documentation.

When connected properly, these records can form a defensible chain of custody that supports UFLPA readiness, detention response preparation, supplier due diligence, and broader compliance objectives.

Many trade compliance professionals are responding positively to this product-focused model because it aligns more closely with how enforcement activities are typically evaluated and documented. 

CBP doesn’t detain supply chains. CBP detains products. 

Whatever visibility an organization may have into its broader supply chain, it ultimately needs evidence tied to the specific goods entering U.S. commerce. Internal discussions about the development of the USFIA clinic reflected this perspective. The focus remained on SKU-level traceability, documentation readiness, and practical detention-response preparation rather than endless supply chain mapping exercises.

Why Affordable Compliance Requires Automation and AI

One of the biggest misconceptions surrounding forced labor compliance is that organizations need large compliance departments, costly consulting engagements, or years of supply chain mapping before they can demonstrate meaningful diligence.

In reality, many organizations already maintain purchase orders, invoices, bills of lading, supplier certifications, manufacturing records, and other documents that can contribute to a traceability program. The challenge is that these records are often dispersed across email systems, ERP platforms, customs broker portals, supplier systems, shared drives, spreadsheets, PDFs, and other repositories. Internal KYG presentations have consistently highlighted that the industry’s challenge is often not a lack of information but the inability to connect it.

Without automation, compliance teams often must spend significant time and effort locating, reviewing, organizing, and maintaining documentation across numerous systems and business functions. Automation and workflow technologies can help reduce that operational burden by supporting document collection, organization, workflow management, and evidence retention. AI-assisted document analysis can further aid compliance teams in reviewing large document sets more efficiently, uncovering relevant records, and identifying potential documentation gaps that warrant additional attention. 

The upcoming clinic specifically discusses how AI-assisted document analysis can be used to connect purchase orders, invoices, bills of lading, certificates of origin, supplier attestations, and other records into a defensible chain of custody for specific products and sourcing programs.

And it’s important to note that AI is not replacing trade compliance professionals.

As discussed during prior USFIA presentations, the most successful organizations increasingly focus on identifying the optimal division of labor between humans and technology. AI can help process large volumes of information and accelerate documentation review. Experienced compliance professionals continue to provide judgment, regulatory interpretation, governance, risk assessment, supplier engagement, and decision-making.

Organizations are increasingly exploring how trade expertise, workflow automation, and AI-assisted analysis can help make traceability initiatives more manageable, scalable, and cost-effective. For many companies, these capabilities may be the difference between a traceability program that remains a one-time compliance project and one that can be maintained over time.

Industry Demand Is Growing

Recent industry research underscores why this issue has become such a priority. The 2026 USFIA Benchmarking Study found that approximately 75% of respondents reported working closely with industry associations such as USFIA to obtain the latest policy updates and industry best practices related to UFLPA compliance. The study also found increased participation in workshops and educational events as companies seek practical guidance on developing enforcement expectations.

Meanwhile, discussions across the apparel industry increasingly recognize that forced labor enforcement has become a significant trade policy issue globally. New regulations, heightened due diligence expectations, detention risks, and expanding compliance obligations are creating pressure on organizations to adopt more systematic approaches to traceability and documentation management.

From Data to Defensible Evidence

For organizations evaluating their forced labor compliance strategy, the most important question may not be, “How much data do we have?”

Instead, organizations should ask, “Can we quickly assemble the evidence necessary to support our highest-risk products?”

Companies that can answer that question confidently may be better positioned for:

• UFLPA enforcement activity.
• Supplier due diligence reviews.
• Internal audits.
• Customer inquiries.
• Regulatory investigations.
• Emerging global forced labor requirements.

In an era of expanding enforcement, compliance success is increasingly determined not by the volume of data collected, but by an organization’s ability to transform information into defensible evidence.

As enforcement expectations change, organizations will need practical approaches for connecting compliance data, maintaining supporting records, and responding efficiently to requests for evidence. For many companies, automation and AI may become important tools for managing that workload without requiring proportional increases in staff or cost.

The future of traceability isn’t collecting more data. It’s creating a practical, repeatable process for organizing the evidence that matters.