AI is supposed to save you time and money.
So why did my AI experiment start costing me $3,000 a month?
I was building useful tools with AI, but I was using the wrong approach. I relied on AI to generate prompts, build solutions, and fill in the gaps. The problem? When AI didn’t have the right information or method, it simply made things up.
And every correction meant more time, more iterations, and more money.
The lesson was simple:
AI isn’t expensive because it doesn’t work. It’s expensive when you use it the wrong way.
For financial advisors, the stakes are even higher. Generic AI can waste hours – or produce answers that shouldn’t reach a client.
The better approach is to give AI the right knowledge, structure, and guardrails from the start.
That’s what RiXtrema AI Advisor Accelerator is built for: helping advisors use specialized AI for retirement plan research, prospect conversations, outreach, and everyday advisory work.
The goal isn’t to spend more on AI.
It’s to make AI actually pay for itself.
