How Axway enables AI-ready data across complex enterprises

Recently, I’ve had discussions with a couple of our customers—a leading financial institution and a major retailer—about how they’re using Axway products as part of their enterprise AI strategy.

These conversations are becoming increasingly common as more organizations look to take advantage of AI’s transformative potential.

In this post, I will share more details on how these two customers are leveraging Axway to solve their data and business process challenges, while making their data and processes AI-ready. We’ll also look at how each of Axway’s product lines helps respond to AI challenges.

They all face a common challenge: data and business processes.

Data is fragmented, complex, and often locked in silos, and business processes are often rigid and disconnected, making it difficult to fully leverage AI. But through our ongoing collaboration, we are helping them overcome these hurdles and make their data AI-ready.

Address data silos and process complexity to get enterprises AI-ready

In today’s data—and process-driven landscape, artificial intelligence (AI) is often seen as the next frontier in transforming business operations. But while AI is gaining momentum in strategic discussions, many companies struggle with its actual execution.

The main reasons? Data and fragmented business processes.

For AI to deliver on its promise of automation, insights, and better decision-making, it needs high-quality, accessible data.

Unfortunately, for many enterprises, data exists in silos—spread across on-premises systems, cloud environments, and even third-party platforms. This fragmentation makes it challenging to get data ready for AI, stalling AI projects before they even get off the ground.

This is where Axway comes in. Axway’s portfolio enables enterprises to be AI-ready by solving the data and business process challenges that block progress, ensuring data is accessible, secure, and well-governed, and that business processes are streamlined and adaptable for AI initiatives.

By providing the integration, data governance, and security infrastructure needed to ensure AI has access to the right data at the right time, Axway helps enterprises prepare for AI success.

The data challenge: a roadblock to AI

AI is only as good as the data it consumes. But many enterprises face a familiar challenge — data is fragmented across different systems and environments. For example:

• On-premises systems may store historical data that is critical for AI training.
• Cloud platforms host modern applications and data sources, often running AI workloads.
• Third-party systems such as external vendors or partners hold valuable data, but integration with those systems is often lacking.

Without the ability to easily move, govern, and secure data and align business processes across these environments, AI initiatives become more complex, expensive, and prone to failure.

Data must flow freely and securely between all parts of the business, whether that’s between on-premises and cloud systems or between internal and external partners.

The solution lies in ensuring that fragmented data and disconnected business processes become AI-ready—accessible, reliable, secure, and adaptable—so that AI models can be trained, tested, and executed without disruption.

Axway’s role: creating the AI-ready data foundation

Consider the financial institution I referenced at the start of this post. They use AI to improve fraud detection.

The bank’s data is spread across on-premises legacy systems, cloud applications, and external data sources such as transaction data from partner institutions.

Using Axway Amplify API Management and Amplify Enterprise Marketplace, the bank can integrate these disparate data sources, creating a unified data flow that enables AI models to analyze data in real-time.

By leveraging these solutions built on federated API management, enterprises can:

• Integrate on-premises and cloud environments, ensuring AI models have access to all relevant data, regardless of where it resides.
• Leverage pre-built connectors and integrations available in Amplify Marketplace, accelerating the process of connecting systems and enabling a complete data picture for AI analysis.
• Connect with external partners, facilitating seamless data exchanges that enhance AI capabilities by providing enriched and diverse data sets.

Learn more about federated API management.

Secure data movement, governance, and compliance

At this same bank, Axway Managed File Transfer (MFT) ensures that sensitive customer data is moved securely between environments, maintaining compliance with industry regulations such as GDPR.

AI initiatives often involve large-scale data movement, whether for training models or feeding real-time decision-making processes. But moving sensitive data—especially between multiple environments—raises significant security concerns, particularly in industries with strict regulations like finance or healthcare.

Axway MFT solutions like SecureTransport ensure secure data transfer and management across on-premises, cloud, and third-party environments, enabling AI models to access data safely.

They also provide encryption, monitoring, and governance policies to protect sensitive data and ensure compliance with regulations like GDPR and HIPAA. In this way, Axway not only facilitates data movement but also ensures that businesses can trust the integrity of their data and processes as they prepare for AI-driven initiatives.

See also: Why MFT matters for enterprise compliance

AI’s reliance on data means this data must be accurate, compliant, and accessible in the right format for AI models to function effectively.

This is one of the strengths of Axway B2Bi: it enables enterprises to establish strong data governance frameworks by ensuring that all B2B and EDI communications are transparent, compliant, and easy to audit.

With Axway B2Bi, businesses can:

• Streamline and standardize data exchanges between trading partners, ensuring the data being used in AI models is consistent and reliable.

• Apply data access controls, so only authorized users and systems can access sensitive transactional data.

• Ensure compliance with global and industry-specific regulations, such as GDPR, HIPAA, or financial industry standards, reducing the risk of penalties or legal challenges when using AI for decision-making.

See also: How enterprises are modernizing their B2B ecosystem in 2024

Scalability across hybrid and multi-cloud environments

AI initiatives often start small—perhaps a pilot project in one department—but the real challenge comes when enterprises try to scale AI across their operations. This requires managing large volumes of data, often across hybrid and multi-cloud environments, without sacrificing performance or security.

Now, consider the retailer I mentioned earlier. They are using AI to optimize inventory across multiple warehouses and stores.

Their data is distributed across cloud platforms, ERP systems, and external supplier databases. By using Axway Amplify Integration, the retailer can seamlessly bring this data together, allowing AI models to analyze sales trends, predict inventory needs, and prevent stockouts.

Because Amplify Integration is built to support businesses as they scale, enterprises can:

• Seamlessly scale data integrations as AI initiatives grow, ensuring that new data sources can be connected without manual intervention.

• Manage hybrid environments, ensuring data can move between on-premises and cloud systems without complexity.

• Optimize cloud connectivity, reducing latency and ensuring that AI models can access real-time data for better decision-making.

See also: Cloud application integration made simple

Meanwhile, this retailer also uses Axway MFT to ensure secure data movement between systems, maintaining real-time visibility into inventory levels and enabling proactive, AI-driven decision-making.

Unlock AI’s full potential with Axway’s seamless data and process alignment

Data fragmentation and disconnected business processes are significant hurdles for AI projects. To unlock AI’s potential, businesses need to bring data and processes together from various systems, both internal and external.

Axway’s portfolio of integration solutions provides the necessary infrastructure to connect systems that were never meant to work together, enabling a unified flow of data.

Consider one last example: AI is particularly valuable in financial processes where predictive analytics and automation can drive significant business value. However, these initiatives depend on having well-integrated financial data that is accurate and accessible.

Axway Financial Accounting Hub (AFAH) helps enterprises ensure that their financial data is well-structured and reliable, providing the ideal foundation for AI initiatives in areas such as risk assessment, financial forecasting, and automated reporting.

These examples (and capabilities) illustrate how Axway has been enabling enterprises to address the changing IT and technology landscape to be ready for AI. Our comprehensive portfolio helps businesses lay the groundwork for a successful AI strategy by addressing data integration, security, governance, and scalability challenges.

By ensuring seamless data flow across systems, robust governance, and secure access for AI models, Axway empowers enterprises to fully leverage AI’s transformative potential.