ABRITES AVDI Ford, Mazda Key Manager, Advanced Diagnostic Functionality - FR008

The ABRITES AVDI Ford, Mazda Key Manager, Advanced Diagnostic Functionality (License: FR008) is a professional software authorization that unlocks advanced immobilizer and key programming operations on supported Ford and Mazda vehicles. Working within the AVDI platform, FR008 provides guided procedures for adding keys, All Keys Lost (AKL), proximity/smart key learning, and related module adaptations to streamline workshop workflows with OE-level precision.

• License: FR008 – add-on authorization for the ABRITES Vehicle Diagnostic Interface (AVDI).
• Brand coverage: Ford and Mazda (feature availability depends on model, year, and ECU generation).
• Key programming: add spare keys, erase/lost key handling (AKL), remote programming, and proximity/smart key learning.
• Immobilizer functions: PATS–related operations, incode/outcode or PIN handling (where applicable), key status read/write, and key table management.
• Module adaptation: initialization/synchronization of IMMO-related modules (e.g., BCM/RFA/IC/PCM) after repair or replacement, where supported.
• Advanced diagnostics: identification of modules/part numbers, DTC operations, and guided procedures that assist with key and IMMO workflows.
• Workflow integration: designed to be used alongside other AVDI special functions (e.g., cluster/ECU configuration) when the job requires it.
• Professional safeguards: non-destructive, guided operations when used as instructed; observe all local laws and manufacturer guidelines.
• Requirements: AVDI interface, active software, internet connection for online features; AMS recommended for the latest model coverage.
• Delivery: digital authorization bound to the user’s AVDI account; no extra hardware beyond AVDI is typically required.

The ABRITES AVDI FR008 Key Manager equips workshops and locksmiths with robust Ford and Mazda key programming and immobilizer capabilities. By simplifying AKL and proximity key procedures and enabling module adaptation, it helps complete jobs faster and more reliably across a wide range of supported models.