iFixAi is a diagnostic tool that audits AI agents to verify they perform their intended functions according to business objectives and organizational requirements.
The tool addresses the gap between technical capability evaluation and functional correctness. Existing evaluation frameworks focus on token efficiency, latency, and security vulnerabilities like prompt injection, but do not answer whether an agent actually accomplishes its assigned business goals. iFixAi combines adversarial red-teaming with operational assurance to deliver this answer within a two-minute timeframe. The approach runs diagnostic inspections across five pillars, producing an A-F grade with a scored core-pillar scorecard that reflects both AI safety concerns and business alignment.
Organizations building or deploying AI agents should adopt this tool when they need independent verification that agents behave as intended before production use. It suits teams responsible for AI governance, risk management, and compliance with frameworks like the EU AI Act, ISO 42001, NIST AI RMF, and OWASP LLM standards. The tool operates in three modes, allowing configuration flexibility for different deployment contexts. The README does not compare iFixAi to specific alternatives, so no comparative positioning is available.
The project maintains active continuous integration with automated testing. The codebase includes fifty distinct inspections that form the diagnostic foundation. The tool provides structured support for new contributors through designated entry-point issues. Documentation is available in multiple languages, reflecting an international user base.
