Vince Padua recently wrote about how Axway is helping enterprises make their data AI-ready, addressing core challenges like data fragmentation and rigid processes. I wanted to continue the thought exercise and take it a step further:
How can AI, specifically Large Language Models (LLMs), bring even more value to your B2B integration solutions? And how can your integration solutions better support your AI initiatives?
Supporting your AI initiatives with robust integration
Your B2B integration solution itself plays a key role in supporting AI initiatives. The ability to access diverse, high-quality data in real-time is foundational for any AI project.
Axway’s integration and data management solutions ensure that your data is available, secure, and ready to power AI-driven insights.
Whether it’s pulling together siloed data from multiple ERP systems, securing sensitive customer information in transit, or ensuring compliance across hybrid cloud environments, our solutions are designed to make data integration seamless.
This not only makes your systems AI-ready, but also ensures that your AI projects can scale effectively without compromising on data quality or governance.
See also Data governance in action: Axway’s leadership on privacy and security
Driving agility in your B2B
At Axway, we’re actively exploring several ways to apply AI to our B2B products that focus on unlocking the full power of your B2B integration solution by tackling areas that are traditionally the most complex and time-consuming.
Here’s what that could look like in practice:
1. Simplifying product documentation
B2B integration technologies continue to evolve, providing new formats, standards and protocols on top of older ones that continue to be utilized.
Decades of product guides, specifications, articles, and FAQs can overwhelm even the most experienced team members struggling to find answers.
This is where AI-powered summarization comes in. We’re exploring how LLMs can help navigate product documentation by providing concise summaries and answering specific queries.
Imagine a scenario where your team can quickly access relevant details about specific configurations, how to troubleshoot failed messages, or how to set up custom integrations, without diving into hundreds of pages.
AI can cut through the noise, helping you get to the information you need faster, ultimately reducing downtime and increasing productivity.
2. AI-based data mapping
One of the most significant pain points in B2B integration is mapping data between partners—a process that is often labor-intensive and error-prone.
Discover B2B integration advanced mapping examples
Our goal is to leverage AI to simplify and even automate data mapping. AI models can be trained to work with the user to create suggestions that reduce the manual work needed to build new maps.
This approach can not only speed up onboarding but also helps maintain consistency in how data is mapped, ensuring fewer discrepancies and smoother transactions.
With enough data and modeling, imagine using AI to build your maps from scratch, even performing time-consuming testing and validation.
Agility is key with B2B integration, and using AI to eliminate time-consuming onboarding requirements enables you to respond swiftly to new business opportunities.
3. Redefining B2B data flows
Most companies are leveraging B2B integration solutions that were put in place over 10 (or even 20) years ago. These solutions were designed to meet business needs at the time but are now struggling to support modern, dynamic requirements, such as new protocols, compliance mandates, or integration patterns.
Organizations want modern EDI/B2B solutions that can address both the accumulated and the evolving complexities of B2B integration; however, migrating to Axway B2Bi can be seen as a daunting task.
We’re applying AI to analyze and understand these implementations, unravel legacy complexity, and offer a streamlined path to reimplement them within Axway’s ecosystem.
AI agents can analyze and map out these complex flows, perhaps even make suggestions for fixing fragmented ones. The result is a blueprint for reimplementation, reducing the manual effort required for rework and significantly cutting down migration time.
Your organization can recognize the benefits of a modern B2B integration solution that much sooner and without the migration headaches.
Moving B2B Transactions to the Cloud? EDI Experts Have You Covered.
4. AI agent for efficient and effective application deployments
Companies are always looking for the most efficient use of their resources and infrastructure. By developing AI models and deploying AI operators (agents) running those models through container deployments, we can achieve more efficient and scalable deployments for Axway’s B2Bi software.
AI-powered operators that reveal usage patterns over time can actively adjust deployment parameters and infrastructure based on those patterns. They can also update or upgrade applications and infrastructure services as needed, ultimately lowering the total cost of ownership (TCO) for companies.
Building an AI-enabled B2B ecosystem for the future
AI and LLMs aren’t just buzzwords—they’re powerful tools that, when integrated thoughtfully, can address real operational challenges in B2B integration, such as reducing manual and redundant tasks, accelerating partner onboarding, shortening time to value, and improving overall supply chain efficiency.
On top of that, a cohesive B2B Integration strategy – by its very nature – can help a business leverage AI to drive faster, data-informed decisions.
This could be particularly useful for areas like predictive maintenance or real-time supply chain adjustments based on changing conditions.
At Axway, we’re committed to making AI an enabler for your business: simplifying complex integrations, reducing onboarding time, and helping you gain faster access to the insights you need.
We’d love to hear from you. How do you envision AI transforming your B2B integration processes? Are there particular challenges where you think AI could make a difference?
Let’s work together to explore how AI can reshape your B2B integration journey.
Learn more about how enterprises are modernizing their B2B ecosystem through 2034 and beyond.