SMBs' Biggest AI Deployment Mistakes: Undocumented Processes and Unrealistic Expectations, Says Strategist Algernae King
This Q&A article features Algernae King, a business infrastructure and capital strategist, discussing the key mistakes SMBs make when deploying AI. King argues that the main obstacles aren't the AI tools themselves but rather undocumented processes and unrealistic expectations. The article emphasizes that SMBs don't need massive budgets or large IT teams to benefit from AI — they need to document their workflows first and set realistic goals for what AI can achieve.
Key quotes
The biggest obstacles to successful AI adoption aren't the tools themselves. It's a combination of undocumented processes and unrealistic expectations.
We've talked with plenty of SMBs that assume they need bigger budgets or larger IT teams before AI can deliver meaningful business value.
Organizations that document their processes first are far more likely to see real returns from AI investments.
From the article
You might also wanna read
Why AI won't accelerate your business processes as much as you expect
The article argues that organizations are overly focused on process optimization, especially during market downturns, and that AI is being b
frederickvanbrabant.com·1mo agoAvoid costly AI engineering mistakes with 4 smart tactics
The AI security paradox: Why are organizations trusting what they can’t fully see?
Critique of Aggressive AI Deployment and Call for More Organic Adoption
The article criticizes the current approach to AI deployment, arguing that AI is being forced upon users too quickly and aggressively across
gpt3experiments.substack.com·7mo ago
Building an Enterprise Context Layer with Minimal Code: A Contrarian Approach to Enterprise AI
The article presents a contrarian view on enterprise AI solutions, arguing that building an 'Enterprise Context Layer' - a central intellige
andychen32.substack.com·4mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.