Axway MFT and AI: An innovation showcase

As Axway explores bringing AI into MFT, we’re not just considering potentially high-value customer features, but the impact on how we build, operate, and support the platform itself.

From AI‑assisted troubleshooting, documentation, testing, and secure coding, to anomaly detection, predictive operations, and conversational tooling, we floated initiatives that will help transform MFT.

As part of our AI journey, we’re not only running customer-focused think tanks but considering how we can use our unrivalled expertise and experience in managed file transfer to improve how we work and what we deliver.

Projects include:

Chatbots for exploring, troubleshooting, and tuning our products
Using AI to transform product documentation, knowledge base articles and Swagger for better use by AI tooling
AI-driven anomaly detection based on genetic algorithms
AI-driven analysis of user stories and test case alignment
AI-driven test development
AI-driven support case triage
AI-driven UI development
AI-driven coding-time dependency scanning and vulnerability alerting
AI-driven multi-product operations and predictive troubleshooting assistant
A conversational assistant for creating Workbench monitoring rules
An agent that monitors and analyses the CI process for CFT

We know we’re not alone in looking at these projects to improve MFT. Any MFT vendor worth its salt is investing time and effort to introduce innovation into what has long been regarded as a comparatively unexciting business solution.

In fact, Tom Skeen (our MFT File Transfer Executive) discussed many of these projects in this webinar and even gave a live demo of one in action. As you’ll see in Tom’s presentation, innovation is alive and very well indeed at Axway.

But these examples are only the beginning.

AI in stages

We’re taking a sequential three-phase approach to adding AI to MFT. All of the work we’re doing right now is our Lumen phase, where we’re using assistive AI for natural language insights and analysis – so it will be human-initiated or query-based. The second phase, Synapse, will allow AI to be more hands-on within our MFT technology – for example, using customer prompts to drive best-practice changes to workflows and configuration. And the final phase, Sage, will provide greater autonomy by using AI agents working within human-driven guardrails. Innovation features very heavily in our MFT roadmap. While we’re following the same playbook as our competitors (in terms of leveraging customer feedback, market research, and competitor research). But then there are our secret weapons: Axway’s R&D AI competition, our considerable team skill sets, and current prototyping. And no one else can copy those.

Throwing AI innovation open to the team

We even ran a competition inside the MFT product line – roping in people outside of our usual R&D process - where we challenged our people to form teams and come up with their best prototype for AI in our products. And we had around 17 submissions in the form of 30–40-minute videos. While there were a few crossovers, the winning concept (an assistive chatbot) is now in production.

We’ve now rolled out an AI innovation for 2026 challenge to Axway teams in the APAC region to ensure that everyone in the business is engaged with and learning about AI.

Leveraging AI inside MFT for customer value

Go to page