SAN FRANCISCO, June 11 — Aria Systems, the leader in AI-powered billing automation, today announced the launch of Aria Allegro™ ACE (Adaptive Charging Engine), a new class of real-time charging and session management engine that enhances the Aria Allegro™ product line. Designed for enterprises operating high-volume, consumption-based services of any kind, in any industry, Allegro ACE enables organizations to authorize, control, and monetize usage in real time, before costs are incurred and while services are actively being consumed.
As AI services, telecom networks, financial transactions, cloud infrastructure, IoT, digital connectivity, and outcome-based business models continue to expand, enterprises face growing pressure to move beyond traditional post-event billing approaches. Many organizations can measure and invoice usage after the fact, but lack the ability to control consumption, enforce commercial policies, and protect revenues during service delivery.
Allegro ACE addresses this challenge by introducing real-time authorization, balance management, allowance control, threshold monitoring, and charging capabilities that operate directly within active customer service usage. This enables enterprises to approve usage in milli-seconds before it occurs, monitor consumption continuously, and take automated actions when commercial limits or business policies are reached.
Unlike traditional billing systems that focus on invoicing completed transactions, Allegro ACE allows organizations to actively manage the commercial relationship throughout the customer interaction, helping prevent revenue leakage, eliminate bill shock, and support new monetization models.
Allegro ACE supports a broad range of high-growth use cases, including AI services and charged by tokens, conversations, or outcomes; cloud infrastructure consumption; network APIs; IoT connectivity; complex financial transactions; digital media services; and any offering where consumption must be controlled and monetized in real time. In telecommunications, it complies with 3GPP OCS/CCS standards for voice, data, and messaging. In AI, it’s designed for Open Telemetry data.
“With seat-based pricing and license-based pricing coming under increasing pressure across industries as AI adoption grows, businesses are exploring ways to monetize based on consumption and align value more directly with cost, similar to models long used in telecommunications,” said James Crawshaw, Practice Leader, Omdia’s Service Provider Transformation team. “Aria’s use of real-time balance management and charging concepts beyond traditional telecom applications reflects how these capabilities are being adapted to support emerging AI services and other consumption-based business models.”
Built on the latest elastic, edge-compliant compute architecture, Allegro ACE can dynamically scale supporting billions of real-time interactions with service sessions and charging events, at sub-100ms response times. The addition of ACE to Allegro’s offline usage processing capabilities enables enterprises to manage both real-time service monetization and high-volume usage monetization from a single standalone platform at the highest scale.
“Usage monetization solved the challenge of understanding and pricing consumption after it happened,” said Tom Dibble, President and CEO of Aria Systems. “The next challenge is controlling and monetizing consumption while it is happening. As AI, cloud, connectivity, and digital services become increasingly consumption-driven, enterprises need the ability to authorize, govern, and monetize every interaction in real time. Allegro ACE provides that capability.”
Allegro ACE supports multiple charging models, including Immediate Event Charging (IEC), Event Charging with Unit Reservation (ECUR), and Session Charging with Unit Reservation (SCUR), allowing organizations to select the most appropriate approach based on service type, customer experience requirements, and financial risk.
The launch further expands Aria’s vision for modern monetization infrastructure, enabling enterprises to move beyond subscription billing and support dynamic consumption, outcome-based pricing, partner ecosystems, and AI-driven business models at scale.