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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 Monitoring: How Do You Know What Your AI Agents Are Actually Doing?
AI agents can make decisions and act across enterprise systems. Learn how to monitor their activity, authority, exceptions, performance, economics and business outcomes.
Sep 2512 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
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 Accountability in Practice: How to Build an Ownership Model That Actually Works
AI accountability requires more than assigning an owner. Learn how to connect business outcomes, authority, responsibilities, evidence and escalation into an ownership model that works in practice.
Sep 229 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
Scaling AI Across the Enterprise: Why Successful Pilots Aren't Enough
A successful AI pilot doesn't prove an organisation is ready to scale. Learn the seven conditions leadership should test before moving AI from experimentation into enterprise operations.
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
AI Agent Use Cases: Where Can Agentic AI Actually Create Business Value?
Not every AI use case needs an agent. Explore where agentic AI can create genuine business value — and how to identify workflows where greater AI autonomy is actually worth it.
Sep 2211 min read
AI Agent Permissions: What Should an AI Agent Be Allowed to Access and Do?
AI agents can access systems, make decisions and take actions. Learn how to define what an agent should be allowed to see and do — and how to govern its authority as autonomy increases.
Sep 2111 min read
How to Create an AI Roadmap: From Strategy to 12–24 Month Execution
An AI strategy defines where you want to go. An AI roadmap turns that ambition into sequenced priorities, capabilities, owners, evidence and decisions. Learn how to build a practical 12–24 month AI roadmap.
Sep 2110 min read
The AI Accountability Gap: 7 Signs Nobody Really Owns AI
Everyone may be involved in AI while nobody really owns the outcome. Discover seven signs your organisation has an AI accountability gap — and how leadership can close it.
Sep 219 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 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 Assistants vs AI Agents: What Business Leaders Need to Know Before Giving AI Autonomy
AI assistants help people perform work. AI agents can increasingly perform parts of the work themselves. Learn what changes when AI moves from providing answers to taking actions — and what leaders need to govern.
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
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
Is Your Business Ready for AI Agents? 7 Questions Leaders Should Ask Before Deploying Agentic AI
AI agents can do far more than generate content — they can take action across business systems and workflows. Discover seven questions leaders should ask before deploying agentic AI, covering readiness, governance, data, accountability and measurable business value.
Aug 258 min read
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