Enterprise software company Axway has launched Amplify Platform to give large companies oversight of the AI tools running across their business. The system keeps a record of the model behind each AI answer, the data that model drew on and the person who made the request. Axway says it can also lower what companies spend on running AI.
The platform brings together AI oversight, controlled data access, links to core business systems and a shared catalogue of approved services. Axway says companies can begin with whichever part they need first.
The company announced the launch on 12 November 2026. 74Software, a group listed on Euronext Paris, owns Axway, which says more than 4,000 organisations use its software. Its customers include Dun & Bradstreet, Alaska Airlines, health insurer Humana and Belgian HR and payroll provider Acerta.
Inside The Platform
At the centre is the AI Control Plane. Every AI request from staff or AI agents, software that carries out tasks on its own, is routed through it. That gives the company a log of the model, the data and the person or agent behind each answer.
The Control Plane can also pass simple requests to lower-priced models and serve stored answers to questions the company has paid to answer before. Axway puts the possible saving on token spending at 30% to 40%.
API Management decides which data AI agents can reach through APIs (application programming interfaces), the connections that let one piece of software request data or services from another. Axway says the tool limits agents to approved data and services, which helps reduce exposure of sensitive information.
API gateways act as control points for these connections. The tool works across the gateways a company already runs, including ones from other vendors, according to Axway.
Integration Fabric connects AI to the applications and data that companies depend on, including older legacy systems. According to Axway, companies can bring in AI this way while keeping their existing software.
Engagement Portal offers staff and AI agents one list of approved APIs and AI services. The list is meant to stop separate teams from building the same tools twice, the company says. Companies can also open those services to partners and customers, which Axway presents as a possible new source of revenue.
Cloud, Own Servers Or Offline
Amplify Platform can run in the cloud, on a company’s own servers or in a sovereign cloud, a cloud service kept within one country’s borders to meet local data laws. It can also run air-gapped, meaning fully cut off from outside networks.
Axway points to the growing number of countries that set rules on where data must be stored. It says the hosting choice can help companies that operate across regions support differing local rules.
Current customers do not have to switch anything, the company says. They can keep the Axway products, contracts and set-ups they have and bring in Amplify Platform features later as their use of AI expands.
Rules On Paper, Gaps In Practice
Axway is aiming the platform at the gap between companies’ AI rules and what actually happens. In an EY survey of 202 senior AI decision-makers at US public companies with at least $1bn in annual revenue, 98% said their organisation had formal AI governance policies, the written rules on how AI may be used. Yet 47% said their organisation had previously not followed its AI governance process for urgent deployments.
The same survey found that 91% of respondents’ organisations were using or piloting agentic AI, meaning AI that can carry out tasks on its own. Among those users, 26% said their organisation could not detect unauthorised AI agents running internally.
A separate data security survey, supported by security company Netskope and covered recently by Morning Tick, found that only 8% of large firms consistently enforce data protection rules when staff use AI tools.
Europe has also tightened its AI rules. On 2 August 2026, the European Commission’s AI Office gained powers under the EU AI Act, the bloc’s law on AI, to request documents from makers of general-purpose AI models, evaluate those models and issue fines. Transparency rules took effect at the same time. Chatbots must now tell users they are automated, and deepfakes must be labelled.
AI Bills Climbing Fast
Cost is the other problem Axway is targeting. Ramp, a US finance software company that tracks what businesses pay AI providers, says token spending by businesses using its service grew 497% between January 2025 and April 2026. Tokens are the units of text that AI providers charge for.
Much of that money went to premium models. By April 2026, the most expensive models took 55.9% of business token spending on Ramp’s data, up from 5.7% in June 2025. Those models handled 45.8% of the tokens used.
Axway argues that much of this spending is avoidable. It says AI systems often work out the same answer again for different users and that simple tasks run on premium models when cheaper ones would do.
A Banking Customer Weighs In
Axway’s Mourad Jaakou, who runs Amplify Platform as vice president and general manager, compared AI bills to roaming charges. “Most companies discover their AI problem the way travelers discover roaming charges, when the bill arrives,” he said. “By then, the money is spent.”
He said companies that build governance in from the start can move faster and reduce the need to add controls later. “We built Amplify Platform so enterprises can say yes to AI and still answer for every decision and every dollar,” he said.
German lender Commerzbank is one of the companies working with Axway. “AI models are quickly becoming a commodity. The real work is connecting them to the right data and systems, with the right controls,” said Christoph Berentzen, cluster lead for business connectivity at the bank.
Axway says it has spent decades working with highly regulated organisations. In March 2026, research firm IDC named the company a leader in its IDC MarketScape: Worldwide API Management 2026 Vendor Assessment, according to Axway.
Amplify Platform pulls AI oversight, data access, links to core systems and a shared service catalogue into a single product for large companies. It arrives as business spending on AI keeps climbing and surveys show many firms still struggle to track how their AI tools reach a result and what each one costs.
