Future CoLab 3000.
Clear guidance. Real capability. No hype.
Research shows that up to 95% of AI and automation projects miss their intended outcomes.
Research shows that up to 95 percent of AI and automation projects miss their intended outcomes.
The problem isn’t the tools, it’s the lack of strong foundations.
Teams start with the technology. Processes are unclear. Problems aren’t defined properly. Decision-making is rushed. People don’t know how to work with AI in a way that’s safe, useful, and consistent.
Value is lost before it’s created.
Future CoLab 3000 helps you avoid these problems.
About Andrew
I’m Andrew Privitera, founder of Future CoLab 3000. I help organisations adopt AI 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
- Differences between non-agentic, semi-agentic, and agentic AI
- When to use AI vs human interaction
- The AI use cases relevant in your industry
- Strengthening AI governance for safe and strategic adoption
- How to scale AI in an organisation
- Preparing for emerging AI roles and team skills
What you achieve
I’ve supported organisations across many industries, all with the same goal: reduce waste, lower risk, and build real capability that lasts.
AI changes how businesses operate - but without structure, clarity, and skills, success isn’t guaranteed. With the right approach, it is.
Successful adoption needs preparation, structure, and strong foundations. Future CoLab 3000 delivers business-led services focused on better processes, lower risk, and confident, educated teams. A clear method shows how support flows from assessment to action.
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AI ReadinessThrough problem-solving workshops, process mapping, and focused analysis, we surface gaps, risks, and opportunities. Output is a clear AI Readiness and Skills Assessment to guide next steps.
Scroll down to see how we work together using my structure readiness assessment approach.
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AI Education and UpskillingClear, practical AI education via my live 'AI Accelerator' facilitated course for non-technical teams. Sessions include: how to communicate clearly with AI by crafting contextually rich prompts; understand the basis and function of agentic, semi-agentic and non-agentic AI; explore real use cases tailored to your industry; learn about emerging AI roles; and apply governance frameworks for safe, strategic adoption.
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