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Navigating AI Integration in Your Business: A Four-Tiered Approach
From buying ChatGPT subscriptions for all of your employees, like what one CEO did, to investing $10 billion in OpenAI like Microsoft, what are your options as a company in this third (and maybe final) AI wave? Do you have to partner or perish? Like Chegg, who lost 50% market value to and ultimately partnered with OpenAI.
So… now does a company decide if, when, and at what extent to integrate AI into their business operations?
I offer this 4-tiered model for thinking about it.
The advice for LLMs works for AI in general.
Tier -1: To AI or Not to AI?
Before you start, you must identify the challenges that AI could solve. Are there repetitive tasks eating up valuable employee time? Could AI help in enhancing customer service, automating recruitment, or optimizing supply chains? Next, consider available resources. Do you have the in-house expertise to develop and manage AI systems or the budget to hire external AI specialists? Finally, you must evaluate potential risks associated with AI integration, including data security, ethical issues, and operational disruptions.
Tier 0: Utilizing Existing AI Tools
Want to automatically make onboarding videos for new employees? There’s a tool…
