‍

When it comes to curing ailments, medicine can take different forms and follow various routes. Sometimes it's an oral medication, designed to treat an entire body. In other cases, it's a topical solution, aimed at healing a specific area. Similarly, implementing Generative AI in an organization requires choosing the right strategy. It's a choice between an oral medication approach, treating the entire organization, or a topical treatment, focusing on specific areas.

The Oral Approach: Systemic Implementation of AI

Just as oral medicines are designed to be absorbed in the digestive system and spread throughout the body, a systemic implementation of Generative AI involves a comprehensive integration throughout the entire organization. This strategy is the equivalent of a broad-spectrum antibiotic, designed to impact all areas at once.

For organizations that are digitally mature and primed for a major technological revolution, this approach can bring about transformative change. However, this 'systemic treatment' comes with its own challenges. It could cause disruptions or side effects if not properly managed or if the organization is not prepared for such a widespread change. This 'full body treatment' requires significant resources and a sophisticated understanding of AI and its potential implications.

The Topical Approach: Focused Implementation of AI

On the flip side, we have the topical approach, which corresponds to the targeted, direct application of Generative AI in specific areas. This method resembles a soothing cream applied to a local area, bringing relief and healing exactly where it's needed.

This method might be the best strategy for organizations new to AI. It's less disruptive, allowing for easy adjustments, better troubleshooting, and more controlled optimization. While it might not bring about rapid transformative change, it's a starting point that builds competence and confidence in the AI realm before scaling up.

Choosing the Right Treatment: Context Matters

When you're dealing with a health issue, the treatment depends on the condition. The same applies when implementing Generative AI. It all depends on the organization's context and readiness for technological innovation.

For some, a topical, focused approach could be the best way to start. It's an opportunity to test the waters, learn the ropes, and build momentum. For others, who are more experienced and ready for a larger-scale transformation, a systemic approach may be more appropriate.

Just like a good doctor who assesses the patient's condition before prescribing treatment, it's essential for an organization to understand its current status, readiness, and needs. Only then can it select the right AI 'treatment' strategy - one that brings about positive outcomes with minimal negative side effects.

When it comes to implementing Generative AI, a careful diagnosis and a well-planned treatment strategy are the keys to success. Remember, you don't need to rush the process. Take your time, understand the needs, and choose wisely. After all, this is one prescription you don't want to get wrong.

‍