10 Questions (Plus One) About EDICOM’s Approach to AI

We could spend the first half of this article talking about our approach to Artificial Intelligence.

How it fits into EDI, how we protect data, the security measures behind it, and why human oversight still matters, and save the key questions for the end.

But we’d rather do it the other way around.

So, if you’re here to find out how EDICOM approaches the use of Artificial Intelligence, these 10 questions (plus one) cover what you need to know.

How EDICOM Uses Artificial Intelligence

Artificial Intelligence creates new opportunities to automate processes, analyze information, and improve productivity across organizations.

At EDICOM, we see AI as a set of technologies that can add value both to the development of our solutions and to specific processes across our organization.

But how we adopt AI must reflect the nature of the services we provide.

EDICOM supports global EDI, e-Invoicing, and Tax Reporting projects that process and integrate data associated with our customers’ critical business transactions. Purchase orders, invoices, logistics documents, tax information, and data generated through B2B relationships can all contain commercially sensitive information.

Introducing Artificial Intelligence into these environments therefore requires rigorous standards for security, confidentiality, data protection, and risk management.

Our approach is based on a simple principle: AI should be used when it serves a clear business purpose and delivers tangible value, while always operating within the governance and security framework EDICOM applies across its operations.

In practice, we only use tools that have been properly evaluated and approved. We limit the data they can access to what is necessary for the task and ensure appropriate human oversight where needed.

Artificial Intelligence can support our teams in areas such as software development, programming, research, content creation, and other professional activities. It can also become part of an EDICOM solution when it offers a more effective way to address a specific customer need.

But one principle remains non-negotiable.

Data exchanged by our customers through EDICOM services is never used to train or retrain AI models, perform fine-tuning, or improve or validate Artificial Intelligence models.

Our goal is not to limit what AI can do.

It is to use AI where it delivers meaningful value without compromising the security, control, and trust expected of a technology provider responsible for critical data integration processes.

AI in EDI, e-Invoicing, and Tax Reporting

Not every use of Artificial Intelligence carries the same implications.

Using AI to help draft content, summarize documents, or speed up a routine task is one thing. Applying it to sensitive business information that belongs to our customers is something else entirely.

At EDICOM, we draw a clear line between the two.

Our platform handles billions of transactions between companies, suppliers, customers, and government agencies. Purchase orders, invoices, shipping notices, tax documents, and many other business messages flow through our systems every day.

But processing this information does not mean analyzing it.

In fact, our role has always been quite the opposite.

We often describe ourselves in simple terms: we are a digital mail carrier.

A mail carrier needs the information on the envelope to know where a letter needs to go. They do not need to open the letter, read what is inside, or analyze its contents.

The same principle applies at EDICOM.

Our systems need to identify each document, determine where it comes from and where it needs to go, recognize its format, and apply the technical rules required to process and deliver it correctly.

But we do not use the information inside those documents to analyze our customers’ businesses, draw conclusions about their operations, or generate insights from their data.

Artificial Intelligence does not change that principle.

If anything, it makes that distinction even more important.

Today’s AI technologies can process, interpret, connect, and extract insights from enormous volumes of data. That capability is precisely why adopting AI must not blur a boundary EDICOM has maintained for decades.

We do not use Artificial Intelligence to analyze or interpret the business information and data our customers exchange through the EDICOM platform.

B2B Integration and Artificial Intelligence

When discussing Artificial Intelligence in the context of EDI, there is one important point to make from the start: not every integration process needs AI.

In fact, much of EDI’s value comes from exactly the opposite.

B2B integration relies on predefined data structures, standards, and rules. We know what type of document is being received, what data it should contain, how that data needs to be validated and transformed, and which system it needs to reach.

This is what we mean by a deterministic process.

Given the same conditions, the system should always produce the same result.

When a company automatically integrates purchase orders, invoices, shipping notices, or tax documents with its ERP, trading partners, or tax authorities, that consistency is exactly what matters: 

• predictability,
• control,
• and no room for interpretation.

AI is most valuable in a different type of scenario: when information is unstructured, when rules are difficult to define, or when content needs to be recognized and interpreted.

EDI solves the opposite problem.

In a B2B data integration platform, structured messages are already designed for automated processing.

There is no need for AI to “understand” an EDI invoice, an EDIFACT purchase order, or an XML document when the meaning and structure of the data have already been defined.

So where does AI fit into an EDI project?

Its greatest potential lies at the edges of the integration process.

Not all business information arrives in a structured, integration-ready format. Companies still receive PDFs, files and documents by email, and other information that cannot be directly integrated into an ERP or enterprise application.

This is where AI and EDI can work together.

Artificial Intelligence can extract and transform unstructured information into usable, structured data.

Once that data has been captured and validated, integration technologies such as EDICOMiPaaS can route it to enterprise systems and keep the workflow moving automatically.

In this way, AI can extend the reach of B2B integration without changing the deterministic logic that makes EDI reliable.

• AI handles information that is difficult to process using predefined rules.
• EDI handles processes that need to follow those rules consistently, every time.

Our approach to AI in EDI and e-Invoicing is therefore not about replacing standards, structured formats, or deterministic processes with AI models.

It is about using each technology where it works best.

AI for Unstructured Documents

So far, we have focused largely on where we do not want to use Artificial Intelligence.

But there are also use cases where AI is a natural fit.

Consider an invoice received as a PDF attachment by email.

An EDI invoice or structured electronic invoice can be processed and integrated directly into an ERP. A PDF, on the other hand, is essentially a document designed for people to read, not for business systems to process automatically.

This is where AI can solve a very real integration challenge: reading the document, identifying the relevant information, and turning it into structured data that enterprise systems can process.

It is also one of the areas where EDICOM is already putting AI to work.

EDICOM PDF2Data uses AI-powered document processing to extract key information from PDF documents and transform it into structured data ready for integration with an ERP or other enterprise management system.

This is a good example of how we believe AI should work within the EDICOM platform.

It does not replace technology or processes that already work reliably. It extends automation to information that would otherwise be difficult to integrate.

Protecting Customer Data: A Boundary We Do Not Cross

When people talk about data protection, the conversation usually centers on personal data, privacy, and regulations such as the GDPR.

At EDICOM, our responsibility goes much further.

Our platform handles billions of transactions tied to business-critical processes for some of the world’s largest companies. Purchase orders, invoices, shipping notices, tax documents, and other business records are exchanged with customers, suppliers, logistics providers, and government agencies every day.

This is highly sensitive business information.

Prices, quantities, commercial terms, product references, transaction volumes, and similar data can reveal important details about a company’s operations and supply chain.

That is why data security in EDI, e-Invoicing, Tax Reporting, e-Reporting, and B2B integration goes far beyond protecting personal data.

It means protecting all the information our customers entrust to us.

Since the company was founded, and across billions of transactions, EDICOM has never experienced a loss of customer data or theft of customer information.

That track record is not the result of a recent policy, nor is it a response to the rise of Artificial Intelligence. It comes from an approach in which security and confidentiality have always been built into the way our services are designed and operated.

AI must meet those same standards.

Before we approve an AI tool, we assess the technology behind it, the provider, how and where information is processed, whether data can be retained or reused, and what security and confidentiality safeguards are in place.

If a solution does not meet the standards we require across our technology infrastructure, we do not use it.

We can use AI to improve specific tasks in areas such as software development, programming, and research.

We can also incorporate it into solutions such as EDICOM PDF2Data to extend the capabilities of our EDI and e-Invoicing data integration projects.

There is plenty of room for innovation at EDICOM. Innovation has played an important role in making us the technology provider we are today.

But innovation can never come at the expense of the security standards that apply across the rest of the EDICOM platform.

AI Governance at EDICOM: Moving Fast, Making Informed Decisions

Adopting technologies that help us work more effectively and deliver greater value to our customers has always been part of how EDICOM operates.

For us, it is also essential.

Every EDICOM service is powered by technology we develop in-house. That means staying ahead of technological change, moving quickly to incorporate new capabilities, and continuously evolving our platform to meet new challenges and business requirements.

Artificial Intelligence is part of that evolution.

We closely follow advances in AI, explore what new technologies can do, and adopt the tools and capabilities that can make our solutions and our teams more effective.

As a technology company, we cannot afford to stand still.

But moving quickly does not mean adopting technology without careful evaluation.

As with any technology we consider adopting, we look closely at how it works, who provides it, how it handles information, and the potential implications for security, data protection, and compliance.

As a technology company, we do not want unnecessary barriers to slow down innovation.

At the same time, we will not adopt solutions that fall short of the standards we set for our technology infrastructure and our EDI, e-Invoicing, Tax Reporting, e-Reporting, and B2B integration services.

This is the foundation of AI governance at EDICOM. It is not about building layers of bureaucracy around Artificial Intelligence.

It is about applying the same technology principles that have guided our evolution for years: understanding what a technology can deliver, assessing its risks, and adopting it when its safeguards meet our standards.

The balance is straightforward:

Embrace technology that helps us move forward, without compromising the security standards our customers rely on.

Human Oversight Before, During, and After

Artificial Intelligence can speed up tasks, organize information, and suggest possible outputs.
But at EDICOM, people always make the final call.

And not just anyone.

Our teams include specialists in EDI, e-Invoicing, Tax Reporting, e-Reporting, and data integration who understand the processes, regulations, and specific requirements behind each project at a level no AI model can match.

That expertise takes time to build.

Every professional who joins EDICOM goes through rigorous technical onboarding and continues to receive training throughout their career. This keeps our teams up to date on EDI standards, e-Invoicing models, international tax requirements, and integration technologies.

That is why human oversight at EDICOM goes far beyond simply reviewing an AI-generated answer before accepting it.

Any output produced with the help of AI must be evaluated by someone who understands the problem, knows the context, and can recognize when an answer is accurate, incomplete, or simply does not make sense.

AI can be an extremely powerful tool when it is backed by human expertise.

And when it comes to EDI, e-Invoicing, or Tax Compliance, that expertise comes from our specialists. That is why we do not delegate critical responsibilities to an LLM, including: 

• Identifying and reviewing inconsistencies.
• Analyzing current e-Invoicing and Tax Reporting regulations.
• Updating data interfaces to keep pace with regulatory changes around the world.
• Validating integration testing with trading partners and government authorities.
• etc.

Artificial Intelligence can assist the expert.

It does not replace expert judgment.

GDPR and Artificial Intelligence at EDICOM

When discussing GDPR and Artificial Intelligence, it is important to start with a distinction that is sometimes overlooked.

The General Data Protection Regulation (GDPR) protects personal data: information relating to an identified or identifiable individual.

But the EDICOM Platform also processes large volumes of business data that may be just as sensitive, or even more sensitive, from a commercial standpoint, even though it does not fall within the GDPR definition of personal data.

EDICOM complies with applicable personal data protection regulations and applies strict security and confidentiality standards to the other types of sensitive business information processed through our platform as well.

Core GDPR principles such as purpose limitation, data minimization, security, confidentiality, and accountability remain relevant regardless of the technology being used. At EDICOM, we extend that same disciplined approach to protecting the non-personal business data entrusted to our platform.

At EDICOM, the adoption of Artificial Intelligence does not change how we approach or protect that data.

Artificial Intelligence can be a transformative technology, enabling capabilities and use cases that were previously difficult or impossible to achieve.

Responsibility for protecting data remains with the organizations and people using the technology.