One Registry to Rule them All - Sonny Merla, Mauro Luchetti, & Mattia Redaelli, Quantyca

2026-04-10 · Source: AI Engineer · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Software Development & Engineering · Depth: Intermediate, long

Summary

Amplifon, a global leader in hearing care with over 10,000 stores across 26 countries, launched its Amplify program in January 2025 to standardize AI adoption and overcome challenges like instability, scaling, and compliance. The program focuses on governance, platform infrastructure, and a development factory, aiming to centralize guidelines and enable scalable, reusable AI solutions. Key technical components include an AI Gateway for unified, secure, and budgeted access to models, and three registries: an MCP (Model, Capability, and Provider) registry for internal and curated public tools, an A2A (Agent-to-Agent) registry for discoverable agents using agent cards, and a Use Case registry to link agents and tools to specific business applications. This system provides full traceability, impact analysis, and production-ready blueprints for developers, streamlining AI deployment and ensuring compliance.

Key takeaway

For AI Architects and MLOps Engineers scaling AI solutions across a large, distributed enterprise, consider adopting a centralized platform approach like Amplifon's Amplify program. Implementing an AI Gateway and dedicated registries for models, agents, and use cases can standardize development, ensure compliance, and provide critical traceability for maintenance and governance. This strategy helps avoid chaos from disparate deployments and enables developers to focus on business logic.

Key insights

Centralized governance and a unified platform are crucial for scaling AI across a large enterprise.

Principles

• Standardize AI adoption with clear guidelines.
• Enable traceability for AI assets and use cases.
• Provide production-ready blueprints for developers.

Method

Amplifon's Amplify program uses an AI Gateway for unified access and budgeting, complemented by MCP, A2A, and Use Case registries to catalog tools, agents, and their deployment context, ensuring governance and traceability.

In practice

• Implement an AI gateway for unified model access.
• Develop registries for tools, agents, and use cases.
• Utilize CI/CD for automatic metadata publishing.

Topics

• Amplify Program
• AI Governance
• AI Gateway
• MCP Registry
• A2A Agent Registry

Best for: AI Architect, MLOps Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Engineer.