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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?
AI Investment Governance: How to Control AI Spend Without Slowing Innovation
AI spend can quickly fragment across teams, pilots and technology platforms. Learn how to govern AI investment through staged funding, evidence, value and capital reallocation without slowing innovation.
Sep 2311 min read
AI Workforce Planning: How AI Changes Roles, Skills and Organisational Capacity
AI productivity creates a bigger management question: what happens to the work, capacity and people? Learn how to redesign roles, skills and workforce plans around AI.
Sep 2310 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 Literacy for Executives: What Business Leaders Actually Need to Understand About AI
Executives don't need to become AI engineers. They need enough AI literacy to challenge assumptions, evaluate investment, govern risk and lead AI-enabled organisational change.
Sep 2211 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
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
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
AI Benefits Realisation: How to Turn AI Productivity Into Measurable Financial Value
AI can save thousands of hours without creating equivalent financial value. Learn how to convert AI productivity into capacity, business outcomes and measurable benefits through a structured benefits realisation process.
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 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
What Does an AI-Ready Leadership Team Look Like? 8 Capabilities Every Executive Team Needs
Executives don't need to become AI experts. They do need the collective ability to make good AI decisions. Explore eight capabilities every AI-ready leadership team needs.
Sep 2110 min read
When Should You Stop an AI Project? A Framework for Scale, Change or Stop Decisions
Not every AI project should scale. Learn how leaders can use evidence, adoption, value, cost and risk to decide whether an AI investment should scale, change, pause or stop.
Sep 2111 min read
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