AI Is Not Coming For Your Team. It Is Coming For The Worst Two Hours Of Their Day.

One in eight things it tells you is made up, and it says every one of them with the same confidence. You would fire that employee. So why did you hand it your invoicing?

AI is not coming for your team. It is coming for the worst two hours of their day. But it is not an employee, and treating it like one is how companies end up with a pile of spend and nothing on the P&L.

Host Nick Dreyfus, VP of Business Development at i-NETT, argues the replacement narrative is wrong and the real risk is the opposite one. Not that AI takes the job, but that nobody is checking its work.

In this episode:

• The one in eight test: apply your hiring standard to a system that is confidently wrong, and your deployment plan writes itself
• The invoice that hit ten thousand percent: what a 5% price increase becomes with no guardrails, and why your client catches it before you do
• Why MIT found roughly 95% of AI deployments show no return, and why it is not the technology's fault
• What an agentic engineer does all day, for a CEO with no interest in becoming technical
• The rule that changes everything: do not let AI think, let it choose
• Why five hours saved in accounting is worth almost nothing, and five hours saved in sales takes a 90 day close to 45

This episode answers:

• Is AI going to replace my employees?
• Why do most AI projects fail to produce any ROI?
• What is an AI agent, and who should be building ours?
• Do we hire AI engineers or bring in a partner?
• What AI is already running in my company that I do not know about?

You have three choices and one is not real. Do nothing, which is not neutral, because your team is already using AI on personal accounts. Build your own agentic engineering team. Or bring in a partner who has one.

Start here. Ask your team what AI they use and what they put into it. Then ask who would catch it if it got something wrong. If nobody has an answer, you found your starting point.

Free AI usage policy template you can hand your team Monday: https://i-nett.ai/ai-usage-policy A starting point, not legal advice. Have your attorney review it.

Book a time with Nick: https://meetings-na2.hubspot.com/ndreyfus Our position on AI: https://i-nett.ai Managed services and cybersecurity: https://i-nett.com Community Technology Fund: https://nonprofit.i-nett.com LinkedIn: https://www.linkedin.com/in/nicholas-dreyfus/ NickD@i-nett.com | (858) 337-2866

Chapters: 00:00 The employee who makes things up one in eight times 03:00 Why confidence is the danger, not error 08:00 The invoice that hit ten thousand percent 13:00 Why 95% of AI deployments fail 18:00 What an agentic engineer actually does 23:00 Not all saved hours are worth the same 28:00 Your three choices, and one is not real

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Educational only. Not legal or financial advice. Statistics cited are third party research and results vary.

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