Reinventing Enterprise AI Integration: A Q&A With Mourad Jaakou, Amplify GM at Axway

Accelerate secure, compliant AI innovation in your enterprise: https://www.axway.com/en/lp/fusion-reinventing-integration-for-the-ai-era?utm_source=youtube&utm_medium=social&utm_campaign=lg_amplify_fusion&utm_content=QAvideo_fusion As agentic AI shifts from experimentation to real operational impact, enterprises face a new tension: extraordinary opportunity paired with unprecedented risk. In this conversation with Lydia Defranchi, Content Marketing Director at Axway, Amplify General Manager Mourad Jaakou breaks down what it takes to safely scale AI, control data movement, and modernize integration without disrupting your core systems. 🤖 How agentic AI is transforming enterprise workflows — from insights to autonomous action. 🔐 Why control and security matter more as automation accelerates and data movement skyrockets. 🌍 What global AI innovation means under region‑specific regulations, including the EU AI Act. ⚙️ Why integration — not innovation — is the real scaling challenge for enterprise AI. 🚀 How Axway Amplify Fusion provides a secure control plane to accelerate AI. Transcript: If 2023 was the year AI went mainstream with ChatGPT, then 2026 is the year agentic AI moves from experimentation into real business operations. That shift crystallizes the tension enterprises are facing right now: the capabilities are extraordinary, but without the right controls, the risk becomes equally significant. I'm joined now by Mourad Jaakou, Amplify General Manager at Axway. Mourad, what opportunities do you see emerging as agentic AI goes mainstream in the enterprise? AI agents are changing the way work happens inside the enterprise. They consume enterprise data, generate insights, and trigger action across systems. Instead of small automation tasks, we are starting to see autonomous workflows where agents analyze information, make decisions, and execute processes end‑to‑end. Without the right orchestration layer, AI innovation can quickly create fragmentation instead of value. When we talk about AI agents with deep system permissions, the conversation immediately shifts to control. How should leaders think about controlling AI interactions? AI‑driven workflows are accelerating data movement across the enterprise at rates we’ve never seen before. And there is a simple principle: the more automation you introduce, the more important control becomes. Organizations must ensure that AI systems can access enterprise data without exposing sensitive information. They must prevent uncontrolled shadow AI usage while still enabling innovation, and they must maintain full traceability of every AI‑driven decision. Is it possible to scale AI workloads safely and still grasp this moment of innovation and automation? Speed creates opportunity, but unstructured acceleration creates complexity. Running a few AI pilots is easy. Scaling AI across an entire enterprise without disrupting core systems is a completely different challenge. So the real challenge is not innovation. The real challenge is integration. Regulation is also a major reality enterprises face. In 2026, you can’t talk about enterprise AI without referencing the European Union’s AI Act, although it’s not the only one. What does this mean for enterprises trying to deploy AI responsibly? AI innovation is global, but regulatory responsibility is local. AI agents can operate instantly across regions, but enterprises must comply with strict data residency rules and industry regulations. The opportunity is enormous, but only if enterprises can navigate that complexity without becoming paralyzed. That's exactly why Axway built Amplify Fusion. Amplify Fusion acts as the enterprise control plane for AI execution. It allows organizations to accelerate AI innovation while maintaining control, embedded security, and built‑in compliance. Most importantly, it allows enterprises to introduce AI into complex environments without disrupting the systems they rely on today. The enterprises that will succeed will be the ones that can move fast while staying in control of their architecture. Timestamps: 00:00 — AI goes mainstream in enterprise operations 00:31 — Opportunities with agentic AI 01:11 — Why control matters as AI accelerates 01:48 — Managing data access and preventing shadow AI 02:12 — The real enterprise challenge: integration 02:38 — Regulatory realities like the EU AI Act 03:12 — Introducing Amplify Fusion as an AI control plane 03:48 — How enterprises can move fast while staying in control #EnterpriseAIIntegration #AgenticAI #AmplifyFusion