Cutting through integration complexity: How to move from AI pilots to enterprise-wide deployments without disrupting core systems

What was the last thing you bought online? While the device you ordered on was probably new, the ecommerce journey — browse, add to cart, checkout — was likely the same one that retailers have been using more than two decades. But in just a few years, the way we do everything from grocery shopping to booking a vacation might be almost unrecognizable.

Unlike traditional AI systems that generate content or provide recommendations, agentic AI makes decisions, coordinates activities, and takes action — all without a human in the loop. In fact, analysts are already predicting that a large share of digital experiences will be delivered through agentic interfaces in the years ahead.

For brands and consumers alike, the benefits will be substantial: faster product delivery and highly personalized experiences, all delivered at the speed and scale of AI.

The race for agentic innovation is on. The question is no longer whether businesses will adopt agentic AI, but whether they can do so without creating major operational, security, and governance risks.

New systems, new rules — and new risks

While traditional software systems follow predefined (and therefore predictable) rules, AI agents do not. Because agentic systems operate with autonomy, they can make unanticipated decisions. That flexibility is what makes them so powerful, but it also has inherent risks.

One of the biggest risks arises from deploying agentic AI into unprepared environments. Many businesses operate a highly fragmented integration landscape, comprising legacy point-to-point connections built up over many different technological eras. Attempting to deploy agentic systems on top of this kind of disconnected integration landscape could be a recipe for chaos.

For example, imagine a customer service agent that issues unauthorized discounts in bulk, a sales agent that commits inventory that is actually unavailable, or a fraud-prevention agent mistakenly declining legitimate customer refunds. Agents operating without a shared understanding of the business might reach conflicting conclusions, add friction to customer journeys, or unwittingly expose sensitive information — all with potentially serious financial, reputational, and regulatory consequences.

Another risk is duplication of effort. Within a fragmented landscape, it’s easy for multiple developers to do the same work in isolation — creating costs, delays, and an accumulation of conflicting automations that nobody truly owns. In time, a lack of central visibility or governance could lead to anything from runaway token consumption to data breaches and reputational damage.

With Amplify Fusion, you can solve this challenge with a single, coherent orchestration layer for all your integration patterns. Designed for low- and no-code user experiences, Amplify Fusion can help you maintain visibility, accountability, and operational control as autonomous systems become part of your everyday business operations.

Creating a hospitable environment for AI

For many enterprises, the biggest obstacle to scaling AI will be the underlying technology landscape. Humans are well equipped to deal with complexity, but for an agentic system, the fragmented, disjointed, and decentralized nature of most of today’s corporate IT landscapes could be a showstopper. In fact, almost half of the agentic AI projects in process today could wind up canceled by the end of 2027.

Making the corporate IT environment habitable for agentic systems will also be crucial to enable tomorrow’s hybrid operating models, in which AI agents collaborate side by side with their agentic peers and human colleagues. For businesses, the aim must be to deliver agentic services that can be consumed securely by both human and AI users inside and outside the enterprise.

Using Amplify Fusion, businesses can create a central platform for AI execution, governance, and visibility that cuts through the messy complexity of real-world IT landscapes. Amplify Fusion allows AI agents and workflows to securely access data across your APIs, events, files, B2B, and legacy systems — helping to keep agentic development projects on track and unlock new human-AI operating models.

Laying the foundation for human-AI collaboration

The future of enterprise AI will be about more than individual agents performing specific tasks. Agentic systems have the potential to work together with humans and other AIs: exchanging information, coordinating decisions, and executing complex workflows autonomously.

Imagine an AI concierge for a travel company. In real time, the concierge could converse with the customer to understand their needs and preferences, all while engaging with agentic systems for travel and accommodation providers to check the availability of potential travel and accommodation options.

This type of cooperative behavior raises many questions for businesses. For example, how should agents communicate? What decisions should they be permitted to make, and how should trust be established between participants? How should these types of collaborative actions be monitored?

Agent orchestration and agent proxy capabilities will be vital to securely mediate, govern, and coordinate these types of group interactions, and delivering those advanced capabilities will be impossible without a robust integration platform. Amplify Fusion provides the integration foundation that businesses will need to explore a human-AI future.

By working with Axway, you can scale your agentic initiatives from pilot to production fast — without destabilizing your core systems.