Embedding vs. Creating: The 5 Strategic Pillars of AI Deployment Architecture
When bringing an AI solution to production, executives face a critical fork in the road: Do we embed the AI directly into our existing workflows, or do we launch an entirely new, standalone product stream? Making this decision purely on “gut feeling” leads to expensive engineering rework or dead user adoption. To make an objective choice, organizations must evaluate their situation across five core strategic pillars. 🏢 1. Strategic Value & Positioning This pillar evaluates the ultimate business goal of the AI solution. Is the AI meant to optimize and speed up a current task (a feature upgrade), or is it designed to unlock an entirely new business model, revenue stream, or market position (a core product)? ...