AI خطر، جعل تشغيل.
Model risk management, ethics review boards, third-line assurance and incident response for deployed AI systems.
AI model is a live control environment.
Deployed AI is not a static deliverable - its behaviour evolveds with inputs, usage and underlying data. وتعالج ممارساتنا في مجال المخاطر المتعلقة بالمبادرة النماذج المنشورة كضوابط حية: ترصد وتتحدى وتستكمل وتتوقف عند الاقتضاء عن العمل على جدول رسمي.
Before work begins, we clarify the operating context, governance expectations, and commercial pressures behind the brief. That gives the engagement a clear purpose before technical analysis starts.
The result is a more complete advisory view: what matters now, where risk may surface next, and how recommendations can be implemented without creating unnecessary hand-offs or ambiguity.
Scope
Clarify the decision, deadline, stakeholders, and evidence standard before work begins.
Delivery
Combine partner judgement, technical review, and practical implementation planning in one workstream.
Follow-through
Convert findings into owners, actions, and next steps that leadership can track after the session.
Deployed AI without a risk framework?
وتنتج عملية رفع المخاطرة بنموذج 30 يوما جردا، وربطة، وخطة رصد ذات مصداقية لكل نموذج من النماذج المنشورة.