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Name the outcome. Then use these to get there.

A quiz, a set of tools, and straight answers to the objections you're already thinking. Start wherever you actually are.

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AI Readiness Quiz

Seven questions on your workflows, data and team. You get a readiness score, the bottleneck to start with, and the one thing not to do yet.

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Cost of AI dashboard

Put your own numbers in and see the whole bill: tools, data cleanup, integration, training, monitoring. The consulting fee is the smallest line on it.

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Interactive Insights

Pick your objection, too expensive, all hype, tried it and failed, data is regulated, we can do this ourselves, and get the honest answer below.

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Interactive Insights

Click what you're actually thinking. No pitch, just the straight answer.

It costs too much
The consulting fee is the smallest number in the budget, not the biggest. Data cleanup, integration with what you already run, training your team, ongoing monitoring, these regularly cost more. Ask for the whole number, not just the tool price, before you decide it's too expensive.
It's all just hype
Half of what gets sold to you as AI transformation is hype dressed up as strategy, and you're right to be skeptical of it. Here's the test that matters. Can you name the bottleneck this fixes? If you can't, you're not ready for a tool, you're ready for a conversation.
We already tried it and it failed
Most failed AI attempts weren't wrong about AI, they were wrong about scope. Start small and specific, one workflow with a clear beginning and a result you can measure. Skip that step and you're just buying expensive doubt twice.
We're worried about exposing our data, or we're regulated
Ask the vendor plainly how your data gets used. Is it training their model? Stored, and for how long? Actually anonymized, or just labeled that way? If you can't get a straight answer before you sign, you won't get one after.
We can do it ourselves
If you can name your problem, your data situation, and the number you're trying to move, you may not need help for a first small pilot. Bring someone in once you're choosing between unfamiliar tools, or you've already tried this once and stalled.
We don't trust AI or its judgment
Keep a human in the loop anywhere a mistake would actually cost you something, money, safety, someone's trust in you. AI can be confidently wrong, and confident is not the same as correct. Build the review step in before launch, not after.
Employee resistance, or job security concerns
Ask yourself first. Are you trying to replace tasks, or are you trying to replace people? Your team can tell the difference even when you can't say it out loud. Be honest early, and where a role genuinely will shrink, say so and build a real plan.
It's not the right time
Plan around your slow season, not your development calendar. Launch when your team has room to learn something new. You already know which system is the tangled one costing you the most right now. Start the conversation there.
Chad Thiessen
FROM CHAD THIESSEN

AI-Driven Sustainable Impact Architect

Mentor to thousands of entrepreneurs, publisher of a national business magazine, organizer of national conferences, speaker to industry leaders, founder of a global sustainability project, and elite endurance athlete now focused on AI and how it can change the world.

ARTICLE

"Skynet" is Coming...for my job!

Society doesn't implode because Skynet took over. It implodes because it took all our jobs. A balanced look at algorithmic anxiety, human nature, and what actually happens to your job when new technology arrives.

Read the PDF
ARTICLE

We got ripped off by AI hype!

PwC found 56% of CEOs report zero measurable ROI from AI in 12 months. $547 billion in failed AI investment later, here's what the successful few actually did differently.

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