AI-driven integration for legacy systems without the need for a full rebuild.
Modernise existing platforms through secure AI connectors, mirrored databases, and API or MCP-based integrations — extending functionality while preserving stability.
Many organisations depend on legacy systems that hold valuable data but lack modern intelligence or interoperability. A2Z bridges that gap by integrating AI capabilities through a combination of mirrored databases, secure APIs, and MCP server connections. This approach allows older platforms to benefit from automation, analytics, and predictive intelligence — without the risk or cost of total redevelopment.
Our integrations are designed to respect existing architecture and business logic. Whether it’s an on-premise ERP, PHP-based CRM, or proprietary system, we can layer in AI-driven tools that read data securely, process it intelligently, and deliver new functionality through modern interfaces or workflow automation.
By connecting legacy systems to contemporary AI infrastructure, we unlock new insights, speed, and efficiency — transforming long-standing software into a connected, data-smart ecosystem.
Services
01
Mirrored Databases
Synchronise legacy data to modern storage environments for AI processing, analytics, and automation — without disrupting production systems.
02
API & Middleware Access
Expose essential endpoints safely through modern APIs or middleware, allowing new services and AI layers to communicate with existing logic.
03
MCP Server Integration
Deploy an MCP server as a secure gateway between AI models and legacy data sources — enforcing access control, auditability, and reliability.
The Process & Expected Results
Each project begins with a detailed assessment of your current infrastructure, data flows, and access constraints. Our team then determines the best integration pathway — whether through APIs, mirrored databases, or an MCP server. Once the secure connection is established, AI tools and automations can interact with your legacy systems safely and in real time.
The result is a modernised environment where old systems gain new life — enriched by automation, accessible through modern interfaces, and capable of supporting scalable innovation without the cost or risk of a full platform rebuild.