Enterprise Content Show Episode 3 recap

Documents still run most organizations. They decide what moves, what waits and where people end up doing endless manual work just to keep things from stalling.

That’s exactly the theme of Episode Three, part one of The Enterprise Content Show. William McInnes sits down with RJ Verheggen for a practical conversation about documents in the real world, how they slow things down in logistics and financial services, and why intelligent document processing has started to make a noticeable difference.

Dive in as we explore what actually changes for both your team and your organization once documents stop getting in your way.

In financial services, documents create a different kind of problem. Here, the issue is not whether something moves, but whether it should. KYC, AML and fraud checks all depend on reviewing identity documents and supporting records. Every new customer brings more files, more checks and more regulatory pressure. The work is constant and the tolerance for mistakes is low.

RJ gives a concrete example of the documents that financial services teams have to deal with, “If you look at large online marketplaces like eBay, KYC checks usually mean dealing with passports, bank cards and chamber of commerce records.”

And you can bet these documents arrive in immense volumes, making manual review harder to sustain. Teams rely on sampling to keep up, which helps with throughput but creates blind spots. Some risks are spotted early, but others surface much later, often during audits or investigations.

What makes documents especially risky in financial services is what is at stake:

• Regulatory obligations require consistent review
• Errors carry financial and reputational consequences
• Manual checks fatigue teams over time
• Inconsistency is difficult to defend after the fact

Once you see how documents slow logistics and increase risk in financial services, the role of intelligent document processing becomes easier to explain.

Intelligent document processing (IDP) takes documents that usually need a human to read and turns them into structured data systems can work with. PDFs, scans and images are treated as information rather than static files.

Instead of someone opening a document, figuring out what it is and copying fields into another system, IDP handles that work automatically. It reads the document, identifies the relevant information and makes it available for the next step in the process.

In practice, intelligent document processing is responsible for things like:

• Recognizing different document types even when layouts vary
• Extracting key fields such as names, dates, amounts or reference numbers
• Validating information against rules or other systems
• Flagging missing data, inconsistencies or anomalies
• Passing clean, structured data into workflows and applications

Across logistics and financial services, the effects are consistent once document processing goes on auto-pilot. As RJ explains, “With IDP, you can check 100 percent of documents instead of sampling and only escalate suspicious cases to humans.”

As a result, organizations achieve:

• Faster processing without constant headcount growth
• Better resilience when volumes spike
• Fewer errors caused by manual re-entry
• More consistent compliance and audit outcomes
• Better experiences for employees and customers

Perhaps the biggest shift is less visible. Growth stops feeling fragile and operations stretch without immediately showing strain.

The practical next step is to look closely at where documents are still forcing manual work into otherwise digital processes. Not at the strategy level, but at the workflow level, where people are still opening files, retyping information and waiting on paperwork before anything can move on.

For most organizations, that starts with a few simple questions. Which workflows still depend on documents being checked by hand? Where does information arrive too late to be useful? Which steps break down as volumes increase?

For more insights, watch or listen to Episode Three, part one of The Enterprise Content Show on YouTube and Spotify!