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Independent AI Strategy, Governance & Decision Intelligence
The AI Edge
The AI Edge is the insights hub from Stratify Advisory, exploring AI strategy, governance, leadership, transformation and the future of business.
We provide practical perspectives, strategic insights and actionable frameworks to help CEOs, Boards and leadership teams understand where AI can create value, make better investment decisions and navigate the opportunities and risks of AI adoption.
From AI strategy and accountability to Agentic AI, governance and organisational transformation, our insights focus on one question: how can organisations turn AI ambition into measurable business value?
The Agentic Enterprise: How AI Agents Could Change the Operating Model of Business
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AI agents could change more than individual tasks. Explore how agentic AI may reshape workflows, authority, accountability, workforce design, economics and enterprise management.
Sep 2516 min read
AI Agent Governance: A Practical Framework for Managing Agentic AI
AI assistants primarily help people perform work. AI agents can increasingly perform work themselves. They can retrieve information. Use software. Update systems. Communicate with customers. Coordinate workflows. Make decisions. Trigger actions. Execute transactions. And potentially work with other agents. That changes the governance question. With an AI assistant, leadership may ask: Can employees use this tool safely? With an AI agent, leadership increasingly needs to ask:
Sep 2311 min read
Leading Through AI Uncertainty: How to Make Decisions When the Technology Keeps Changing
AI is changing faster than leadership can eliminate uncertainty. Learn how to make assumptions visible, limit exposure, test intelligently and adapt AI decisions as evidence develops.
Sep 2210 min read
How Should Leadership Make AI Decisions? A Practical Executive Decision Framework
AI decisions are often made with incomplete evidence and rapidly changing technology. Learn how executives can make consistent investment, governance and scale decisions using a practical seven-part framework.
Sep 2210 min read
AI Monitoring and Assurance: How Do You Know Your AI Controls Are Actually Working?
AI governance doesn't end when a use case is approved. Learn how to monitor AI performance, behaviour, permissions, risk and business outcomes — and demonstrate that your controls are actually working.
Sep 2210 min read
AI Incident Management: What Should Happen When AI Goes Wrong?
What happens when AI goes wrong? Learn how to build an AI incident-management process covering detection, containment, escalation, investigation, recovery and organisational learning.
Sep 2211 min read
AI Escalation Framework: When Should an AI Decision Move Up the Organisation?
Not every AI decision should reach senior leadership. Learn how to design escalation triggers, authority levels and exception routes that keep AI moving without losing control.
Sep 2210 min read
AI Roles and Responsibilities: Who Should Do What Across Business, Technology, Risk and Leadership?
Who owns AI across Business, Technology, Risk and leadership? Learn how to define business ownership, enablement, control, adoption, value and oversight without creating accountability gaps.
Sep 2210 min read
AI Steering Committee: How to Govern AI Without Creating Another Talking Shop
An AI steering committee should do more than discuss AI. Learn how to structure its mandate, membership, decision rights, portfolio oversight and executive management cycle.
Sep 2210 min read
How to Build an AI Portfolio: Managing AI Opportunities, Pilots and Investments as One System
AI initiatives can quickly become fragmented across teams, budgets and platforms. Learn how to manage opportunities, pilots, agents and investments as one AI portfolio — and direct resources towards the opportunities creating the greatest value.
Sep 2212 min read
How to Redesign Business Processes Around AI — Instead of Adding AI to Broken Workflows
Adding AI to an existing workflow can create productivity. Redesigning the workflow around AI can create transformation. Learn how to rethink processes, human work, automation and agents from the ground up.
Sep 2110 min read
AI Governance Checklist: 15 Questions Every Leadership Team Should Ask
Do you know where AI is used, who owns it and which controls apply? Use these 15 questions to identify gaps in your organisation's AI governance.
Sep 2110 min read
How to Create an AI Governance Policy: A Practical Guide for Business Leaders
An AI policy should do more than restrict employees. Learn how to create practical AI governance rules covering approved use, risk, data, decision rights, human oversight, AI agents and incident response.
Sep 2111 min read
How Much Autonomy Should You Give an AI Agent? A Practical Framework for Business Leaders
AI agents can increasingly make decisions and take actions, but capability doesn't equal permission. Learn how leaders can determine the right level of AI autonomy using value, risk, reliability and evidence.
Sep 2110 min read
AI Risk Classification: How to Classify AI Use Cases by Risk
Not every AI use case creates the same risk. Learn how to classify AI by impact, data, decision-making, autonomy and consequence—and apply governance proportionate to the risk.
Sep 1810 min read
AI Change Management: How to Prepare People for AI-Enabled Ways of Working
AI transformation requires more than technology and training. Learn how leaders can prepare employees, redesign workflows, equip managers and turn AI adoption into sustainable organisational change.
Sep 149 min read
AI Productivity vs AI Value: Why Time Saved Doesn't Automatically Become ROI
AI can save thousands of employee hours without creating equivalent financial value. Learn the difference between AI productivity and realised value — and how to convert time saved into capacity, business outcomes and measurable ROI.adoption and operation—and how to calculate the true cost of AI.
Sep 149 min read
Human Oversight in AI: When Does AI Need a Human in the Loop?
Putting a human in the loop doesn't automatically create effective AI oversight. Learn when human judgement is needed, what meaningful oversight looks like and how to balance AI autonomy with appropriate control.
Sep 149 min read
Why AI Pilots Don't Scale: From Experimentation to Enterprise Transformation
AI pilots are easier than ever to launch — but far harder to scale. Discover the six organisational conditions that determine whether AI experiments become repeatable, governed and valuable enterprise capabilities.
Sep 149 min read
Why Employees Aren't Adopting AI: 7 Barriers Business Leaders Need to Address
Giving employees access to AI doesn't guarantee adoption. Explore seven common barriers preventing workplace AI adoption—and what leaders can do to turn technology investment into changed behaviours, better workflows and measurable value.
Sep 149 min read
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