Thinking & Perspectives
AI Strategy Insights
Practical perspectives on AI strategy, agentic systems architecture, and governance — from the advisory practice at Imagine Works.
How to Design an AI Incident Response Process
AI incidents are not IT incidents. When a system produces a wrong, discriminatory, or harmful output systematically, the incident may have been occurring for weeks before anyone notices, the harm distributed across thousands of individuals, and the cause difficult to isolate. AI incident response requires its own framework.
AI Procurement: What to Demand in a Vendor's Governance Documentation
When organisations procure traditional software, the governance due diligence checklist is mature. AI procurement is different — the systems are not deterministic, their outputs depend on training data and deployment context the buyer does not control, and the consequences of inadequate due diligence are higher. Here is what to ask.
What Is an AI Model Card — and Why Every Enterprise AI System Needs One
Every AI system has a design history: what data it was trained on, what it was optimised for, where it performs well and where it does not. Almost none of this is documented in a way that the people operating or affected by the system can access. A model card changes that.
General-Purpose AI Models and the EU AI Act: What the August 2025 Obligations Mean
The EU AI Act's General-Purpose AI provisions became enforceable in August 2025. For organisations using foundation model APIs, fine-tuning GPAI models, or building products on large language models, the obligations are direct and material. Here is what changed and what it requires.
India's DPDP Act and AI: What Every Business Deploying AI Needs to Know
India's Digital Personal Data Protection Act 2023 has significant implications for any organisation using AI to process data about Indian citizens. Most businesses have focused on data storage. Fewer have considered how the Act applies to AI systems — where the obligations are more complex and the risks higher.
What an AI Governance Framework Looks Like in Practice
AI governance is one of the most discussed — and least implemented — priorities in enterprise AI. Most organisations know they need a framework. Few know what one actually contains. Here is a practical anatomy of AI governance, from board oversight to model monitoring.