AI Governance and Bias Detection
Practical frameworks and tooling for responsible AI deployment where transparency, fairness, and accountability matter.
Artificial intelligence is being deployed into environments where decisions affect lives, livelihoods, and public trust. Yet most AI systems operate without adequate oversight. Models are opaque. Bias goes undetected. Accountability is unclear.
Xtrable is building expertise and tooling to address this gap. Our focus is on practical, auditable AI governance that works for any organisation deploying AI where transparency and accountability matter.
Areas of Focus
Our AI governance work spans three interconnected disciplines.
Our Approach to Responsible AI
We take a practical, engineering-led approach to AI governance. Our work is grounded in the belief that responsible AI is not a compliance exercise but an engineering discipline.
Sector Relevance
AI governance requirements vary significantly by sector. Our expertise covers the environments where the stakes are highest.
Looking Ahead
Xtrable is actively developing tooling to support AI governance at scale. Our goal is to bring the same model-first, auditable approach that underpins NeoArc Studio to the challenge of AI oversight, creating systems where every model, every decision, and every data dependency is visible, traceable, and accountable.