Axway launches Amplify Platform to control AI costs and data risk

Axway launched its Amplify Platform for enterprise AI management on November 13, 2026, targeting companies that need tighter control over what their AI systems cost and what data those systems touch. The launch lands against a stark financial backdrop: Axway cited growth of 497% in enterprise spending on AI tokens (the units of text that models process and bill) between January 2025 and April 2026, as boards, customers and regulators ask tougher questions about oversight.

The stakes are not hypothetical. An EY survey cited by Axway found that 98% of senior executives at large US public companies said their organisation had formal AI governance policies in place. Yet 47% admitted their organisation had not followed its own governance process for urgent deployments. The gap between policy and practice is the commercial opening Axway is aiming at.

In Europe, scrutiny has intensified as parts of the EU AI Act have begun to carry enforcement powers. That has added compliance pressure for companies deploying AI systems that can access customer records and act across internal systems — precisely the deployment pattern Amplify Platform is built to monitor.

What does the platform actually do?

The platform combines four functions that enterprises usually buy separately: governance, API management, integration and a central catalogue of approved AI tools and services. It is designed for enterprises that need to track AI models, APIs and autonomous agents across their operations, with a particular eye on organisations in regulated sectors.

The first component, AI Control Plane, records each AI request, including which model responded, what data was used and who made the request. This audit trail is the answer to the accountability question that Axway says companies cannot currently answer. The system also carries direct cost-control logic: it can route simpler tasks to lower-cost models and reuse previous answers instead of generating new ones. Axway estimates those mechanisms could cut token spending by 30% to 40%.

The second component, API Management, is intended to restrict AI agents to approved data and services through secure application programming interfaces (the connection points through which software systems exchange data). It works across existing API gateways regardless of which supplier built them — a deliberate neutrality that lets enterprises keep incumbent infrastructure in place.

The third, Integration Fabric, connects AI systems with core business applications and data sources, including legacy systems. The stated aim is to let companies add AI tools without replacing existing infrastructure, which removes one of the largest cost barriers in enterprise AI programmes.

The fourth, Engagement Portal, provides a single catalogue of approved APIs and AI services for both employees and AI agents. Companies can also open the catalogue outward, making services available to partners and customers.

Where can it run?

Deployment flexibility is a headline feature. Amplify Platform can run in cloud environments, on-premises, in sovereign cloud settings or in fully air-gapped environments (isolated systems with no internet connection). That range reflects growing demand from multinational companies that must satisfy different regional rules on data residency and access — a constraint sharpened by the EU AI Act's enforcement powers.

Axway also says companies can adopt the platform in stages. A business that already uses AI but lacks governance controls can start there, while a company that has not yet linked AI to core systems can begin with integration. The staged model lowers the adoption threshold for enterprises at very different points of AI maturity.

What did Axway executives say?

Mourad Jaakou, Vice President and General Manager of Amplify Platform at Axway, framed the problem as one of late discovery. Companies find their AI cost problems the way travellers find roaming charges.

"Most companies discover their AI problem the way travelers discover roaming charges, when the bill arrives. By then, the money is spent. Often no one can explain where it went or what data the AI touched. Companies that build governance in from the start can move faster and reduce the need to retrofit controls later. We built Amplify Platform so enterprises can say yes to AI and still answer for every decision and every dollar," Jaakou said.

The quote carries the platform's core pitch: governance as an enabler of speed rather than a brake on it. Axway's argument is that controls installed at the start cost less than controls retrofitted after an audit, a breach or an unexplained invoice.

Who is already using it?

The platform builds on Axway's work with more than 4,000 organisations. Named customers include Alaska Airlines, Humana, Dun & Bradstreet and Acerta. Existing customers keep their current products and contracts while adding new functions from Amplify Platform, which positions the launch as an expansion of Axway's installed base rather than a forced migration.

One customer offered a public endorsement with a sharper thesis than most vendor quotes. Christoph Berentzen, Cluster Lead Business Connectivity at Commerzbank, said the value has shifted from the models themselves to what surrounds them.

"AI models are quickly becoming a commodity. The real work is connecting them to the right data and systems, with the right controls. As AI continues to evolve, having a secure and well-governed foundation becomes increasingly important. Working with Axway, we are strengthening that foundation so we can embrace new opportunities with confidence," Berentzen said.

Why does this launch matter now?

The timing reflects where enterprise AI programmes currently stand. Companies are moving from AI pilots to broader deployment, and that transition surfaces questions that experiments never had to answer: who approved this model, what data did it read, what did it cost, and who is accountable when an autonomous agent acts across internal systems.

The fragmentation risk is growing. As more teams begin using multiple models and autonomous agents, enterprises are trying to avoid a patchwork approach that drives up costs and limits oversight. Axway's catalogue, audit trail and routing controls are a direct response to that patchwork: one place where approved tools live, one record of every request, one mechanism for pushing work to cheaper models.

The regulatory context makes the commercial case stronger. With parts of the EU AI Act now carrying enforcement powers, and with nearly half of surveyed US executives admitting governance processes get skipped when deployments are urgent, the market for tooling that closes that gap is expanding. Axway's 30% to 40% token-savings estimate gives buyers a quantified justification that governance software can pay for itself — if the numbers hold in production.

The open question is whether enterprises will consolidate AI management into a single platform of this kind or continue assembling governance, integration and API management from specialist vendors. Axway, with 4,000 organisations already in its orbit and a staged adoption model, is betting on consolidation.