Consulting10 Aug 2026
Why Most AI Projects Fail Before They Even Start
Nikhil Singh
Co-founder, AI Too Easy
Sydney, Australia
The video plays from YouTube when you press play.
What we talked about
Nikhil explains why companies should start with a business problem rather than an AI tool. The conversation covers AI discovery, measurable outcomes, token and staffing costs, data sovereignty, human review, hallucination risk and critical thinking.
Key takeaways
- 01Define the business outcome before choosing an AI tool.
- 02Treat AI as one layer in a wider system of people, processes and software.
- 03Calculate ROI using time, operating cost and workflow improvement.
- 04Keep humans in control of high-stakes decisions.
- 05AI makes building easier, but judgment about what to build becomes more important.
About Nikhil
Nikhil Singh is the Sydney-based co-founder of AI Too Easy, an IIT graduate and technology leader with more than 20 years of experience. He helps businesses find practical AI use cases and measure their operational value.
If you liked this, watch next.
9 Sept 2026 · Consulting
Most Businesses Are Using AI Wrong. Here's Why
Rabiha Ansari, AI Strategist and Advisor, Rabiha Ansari AI Coaching & Consulting
5 Oct 2026 · Technology
The Real-World Test 99% of Voice AI Startups Skip
Raj Jethwa, Voice AI Strategist, Speechmatics
28 Sept 2026 · Software
I Built 15 Apps With Vibe Coding
Henry Greer, Product Owner and former full-stack developer, 3Cloud
21 Sept 2026 · Gaming
How This Studio Builds 1,000 Games a Year With AI Agents
Tatu Petersen-Jessen, Co-Founder, Odd Latent
Free AI Masterclass · Mon 16 Nov
Turn ideas like these into one working AI workflow.
A free 90-minute live session for business leaders.
Free · Live on Zoom · Replay included