𝗧𝗵𝗲 𝗛𝗶𝗱𝗱𝗲𝗻 𝗖𝗼𝘀𝘁 𝗼𝗳 𝗔𝗜 𝘃𝘀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻
Companies use AI for everything now. They use it to speed up workflows and reduce repetitive work.
This creates a problem. Many businesses use AI for tasks that do not need it. They choose AI when simple automation works better.
Choosing the wrong tool leads to high costs and slow results.
You must know the difference between these two tools.
Automation follows rules. Use automation when:
- Steps are predictable
- Rules are clear
- Outcomes stay the same
- Exceptions are rare
Examples:
- Routing invoices
- Onboarding employees
- Syncing data
- Compliance reports
AI makes decisions. Use AI when:
- You face ambiguity
- You need context
- You need predictions
- You need interpretation
Examples:
- Fraud detection
- Customer intent analysis
- Demand forecasting
- Document understanding
AI requires more work. You need data prep, model training, and constant monitoring. If you use AI for a simple task, you waste money and time.
The best companies use both.
AI handles the thinking. Automation handles the doing.
Look at customer service. AI understands what the customer wants. Automation then updates the system and sends the ticket to the right person.
Stop asking if you should use AI.
Ask if your process needs intelligence or execution.
If you need execution, use automation. If you need intelligence, use AI.
Using the right tool leads to faster results and lower costs.
Source: https://dev.to/techcompass/the-hidden-cost-of-using-ai-where-automation-would-work-better-75p
Optional learning community: https://t.me/GyaanSetuAi