Future CoLab 3000.

Research shows that up to 95% of AI and automation projects miss their intended outcomes.
The reason isn’t the tools, it’s the lack of strong foundations.

Weak processes. Vague problems. Missing context. Teams unsure how to work with AI. Value is lost before it’s created.

That’s where Future CoLab 3000 comes in.

About Andrew

I’m Andrew Privitera, founder of Future CoLab 3000. I help organisations adopt AI and automation with confidence - focusing on structure, readiness, and practical skills, while staying tool-neutral and outcome-focused.

For more than 20 years, I’ve worked across industries and continents as a business analyst, process improvement specialist, and educator. I’ve seen too many organisations rush into AI adoption without clarity, wasting budget, time, and opportunity.

How I work with you

We start with an AI Readiness and Skills Assessment. This digs into the problems you’re trying to solve, maps your processes, reviews your data and risks, and aligns AI goals with your business outcomes. The result: a clear picture of where AI will add value, and where it won’t.

From there, I equip your teams to work with AI in a way that’s practical and sustainable. Through my live, facilitated AI Accelerator course, we cover:

• The AI ecosystem, and the importance of adopting the mindset required to work with generative AI
• How to use any large language model (ChatGPT, Gemini, Perplexity) effectively
• The differences between non-agentic, semi-agentic, and agentic AI
• The AI use cases relevant in your industry
• How to apply hygiene, verification, and build adoption habits that stick

What you achieve

I’ve worked with clients in finance, government, professional services, and beyond, always with the same goal: to reduce waste, lower risk, and build real capability that lasts.

AI is changing how businesses operate - but without the right approach, success isn’t guaranteed. With the right structure, clarity, and skills, it is.