Jun 12 • General Discussion
16 AI terms every business owner needs to know in AI age.
1. AI Audit
↳ A review of your business to find where AI can save time or money.
↳ This is step 1. Every business that gets ROI from AI starts here.
2. Process Mining
↳ Mapping exactly how work actually flows through your business right now.
↳ You can't automate a process you haven't documented. Full stop.
3. Automation vs AI
↳ Automation follows rules. AI handles judgment calls and variation.
↳ Knowing which you need saves you months of building the wrong thing.
4. Handoff Point
↳ Where an AI system passes work to a human, or to another system.
↳ Most implementations fail here. Bad handoffs create more chaos than no AI at all.
5. Human in the Loop
↳ A checkpoint where a human reviews AI output before it goes anywhere.
↳ Where you place this defines your risk. Every customer-facing AI needs one.
6. Guardrails
↳ The rules and limits that control what your AI can and can't do.
↳ Non-negotiable before AI touches your customers, your data, or your money.
7. Use Case
↳ The specific business problem an AI system is built to solve.
↳ Vague use cases produce vague results. The narrower this is, the better the outcome.
8. ROI Threshold
↳ The minimum return that justifies the cost of an AI build.
↳ Define this before you start. If you can't measure it, you can't manage it.
9. Shadow Work
↳ The invisible admin, formatting, and coordination tasks eating your team's time.
↳ This is where AI pays for itself fastest. Most businesses have no idea how much they have.
10. Agentic AI
↳ AI that takes actions, not just answers questions.
↳ It can research, write, send, and execute tasks end to end. This is where the real leverage is.
11. Prompt
↳ The instruction you give an AI to get an output.
↳ Vague prompt, vague output. The quality of what you get is determined by what you ask.
12. Knowledge Base
↳ Your company's internal information, fed into an AI so it answers from your data.
↳ This is how you build an AI that knows your business, your clients, and your processes.
13. Spend Controls
↳ Limits on how much your team can spend on AI tools per month.
↳ A company just burned $500M without these. Enough said.
14. Change Management
↳ How you get your team to actually use the AI systems you build.
↳ The #1 reason implementations fail isn't the tech. It's adoption.
15. Integration
↳ Connecting an AI system to your existing tools, CRM, inbox, or database.
↳ AI that lives outside your stack is AI your team won't use.
16. Time to Value
↳ How long before an AI implementation starts saving time or generating return.
↳ Good implementations show results in weeks, not quarters. If it's taking forever, something's wrong.
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16 AI terms every business owner needs to know in AI age.
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