Scale your business with Responsible AI

At Scale Edge AI, we provide a complete set of 23 essential artifacts required to implement an Artificial Intelligence Management System (AIMS) and achieve certification under ISO/IEC 42001:2023. These include key policies, procedures, registers, and governance documents—such as the Responsible AI Policy, AI Risk Register, AI System Inventory, AI Impact Assessment procedures, and internal audit and management review records. Each artifact is delivered as a structured template and tailored to your organization’s AI systems, ensuring you have the governance framework, documented evidence, and audit-ready documentation needed to successfully achieve ISO 42001 certification.

At Scale Edge AI, we provide a complete artifact library aligned with NIST AI Risk Management Framework 1.0 to help organizations implement trustworthy AI governance. The library includes 23 structured artifacts and an interactive framework diagram, covering the core functions GOVERN, MAP, MEASURE, RESPOND, and IMPROVE. It contains 8 Word documents with key policies and procedures—such as AI Risk Governance, AI Impact Assessment, Incident Response, Data Governance, and Management Review—along with 15 Excel workbooks for operational governance, including AI System Inventory, Risk Register, KPI monitoring, supplier due diligence, internal audits, and continuous improvement tracking. Together, these artifacts provide a practical toolkit for implementing the NIST AI RMF and operationalizing responsible AI practices.

Accelerate your AI adoption journey using guidance aligned with the Australian National AI Centre framework. Scale Edge AI helps organizations assess readiness, identify AI opportunities, and implement practical strategies to adopt AI responsibly while aligning with governance, risk management, and business objectives.

Prepare for compliance with the EU AI Act through Scale Edge AI’s expert readiness audit. Our focused assessment and guidance help ensure your organization is well-prepared for the EU AI Act conformity assessment process and aligned with emerging regulatory requirements.

As organizations embrace AI at scale, the need for formal governance grows. Enterprises must align AI development with business goals, meet legal obligations, and account for ethical risks. This framework is designed to support program development, deployment, and continuous improvement.

At Scale Edge AI, we deliver a comprehensive suite of 14 critical artifacts essential for establishing an AI Risk Management framework and attaining compliance with ISO/IEC 23894:2023. These encompass vital policies, processes, registers, and oversight documents—like the AI Risk Policy, AI Risk Treatment Plan, Risk Assessment Records, AI System Risk Inventory, and monitoring/evaluation logs. Every artifact comes as a customizable template adapted to your organization's AI applications, providing the structured risk controls, evidence trail, and compliance-ready materials required to effectively implement and demonstrate adherence to ISO 23894

Algorithm auditing plays a vital role in promoting the safe and ethical development and deployment of artificial intelligence systems. As AI continues to expand and become embedded in many areas of society—especially with the rapid rise of generative AI and large language models such as ChatGPT—it is essential to ensure these systems operate with transparency, fairness, and accountability.

Learn about the key principles and practices of the ISO/IEC 42001:2023 framework for AI governance and how to implement it in your organization. This training provides an overview of the standard’s requirements, including risk management, ethical considerations, and compliance strategies to help you build a robust AI Management System (AIMS) that aligns with global best practices.

This technical masterclass provides an in-depth exploration of generative AI, covering foundational concepts, advanced techniques, and practical applications. Participants will learn about the architecture and training of generative models, Prompt Engineering best practices, AI based Workflow Automation, Creating Local RAG based LLM Application for secure handling of sovereign data (For Lawfirms, Medical practices etc.)

A practical, plain-English course based on the bestselling book by Fahim Salauddin. Designed for executives, cross-functional teams, and staff to recognize AI-generated scams, deepfakes, voice cloning, and privacy risks, and learn defensible habits for everyday workplace AI adoption.

This training provides an overview of the ISO/IEC 22989 standard, which defines key concepts and terminology related to artificial intelligence. Participants will gain a clear understanding of the foundational terms and definitions used in AI, helping to establish a common language for discussing AI technologies, applications, and governance.