Quote from bsdinsight on 29 May 2025, 08:15

🤖 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝗮𝗻 𝗔𝗜 𝗦𝗧𝗥𝗔𝗧𝗘𝗚𝗬 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗮𝗻𝘆?

If AI is going to shape your future, it shouldn’t be a side project.
It should be fully integrated, end-to-end, and built to scale.
Here’s one of the clearest roadmaps I’ve seen (inspired by Gartner): ⬇️

🔹 𝗦𝗧𝗘𝗣 𝟭 — AI Strategy Goal Setting (𝗧𝗵𝗲 𝗖𝗼𝗿𝗲)
This is your strategic compass. Everything starts here.
• Drivers → Why are you doing this?
• Vision → Where do you want to go?
• Alignment → Is everyone rowing in the same direction?
• Risks → What could go wrong?
• Adoption → Who will actually use it?
📍 Without this, you’re just building disconnected pilots. No north star = no impact.

🔹 𝗦𝗧𝗘𝗣 𝟮 — Aligned Strategies (𝗠𝗮𝗸𝗲 𝗶𝘁 𝗳𝗶𝘁 𝘁𝗵𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀)
AI shouldn’t float on top — it must connect with the rest of your organization.
• Business Strategy → AI should drive core business value.
• IT Strategy → Infrastructure must support AI at scale.
• R&D Strategy → Innovation should align with AI capabilities.
• Data & Analytics Strategy → No strong data, no scalable AI.
📍 If it doesn’t plug into the real decision-making, it risks becoming irrelevant.

🔹 𝗦𝗧𝗘𝗣 𝟯 — AI Operating Model (𝗠𝗮𝗸𝗲 𝗶𝘁 𝗿𝗲𝗮𝗹)
This is how strategy turns into action.
• Governance → Set the rules — ethical, legal, operational.
• Data → Build reliable, accessible pipelines.
• Engineering → Establish the deployment backbone.
• Technology → Pick the right tools and platforms.
• Literacy → Empower your people to work with AI.
📍 This is your AI engine room. Without it, strategy stays theoretical.

🔹 𝗦𝗧𝗘𝗣 𝟰 — AI Portfolio (𝗗𝗲𝗹𝗶𝘃𝗲𝗿 𝘁𝗵𝗲 𝘃𝗮𝗹𝘂𝗲)
This is where things get real.
• Ideation & Prioritization → Choose what matters.
• Use Cases → Translate strategy into working MVPs.
• Change Management → Ensure adoption and integration.
• Value & Cost Management → Track ROI and scale efficiently.
📍 This is where your AI strategy finally meets the customer.

Credit; Andreas Yokom!