Practical challenges selling AI systems
Hi everyone 😉 I’d really appreciate some input from those of you already selling AI systems / automations in practice.
I’m positioning my offers around business outcomes (time saved, cost reduction, revenue impact) rather than tools, but I’ve been running into a few very practical challenges and wanted to hear how others handle them:
1.Before the call
Many leads ask for a website, portfolio, or more information before agreeing to a discovery call.
How do you usually handle this?
  • One-pager?
  • Simple landing page?
  • PDF?
  • Short Loom video?
What tends to unblock the call without creating unnecessary extra work?
2. Perceived risk & recurring costs
even when I clearly show ROI and operational impact, some clients are still hesitant about: platform fees…API usage, monthly costs
So how do you frame these costs to reduce friction, especially when the solution feels “new” to the client?
  1. closing & delivery
Once a client agrees to move forward, what do you typically send?
  • Invoice + contract?
  • Scope document?
  • Clear inclusions + exclusions?
I’m asking because I recently worked with a client where the scope wasn’t clearly defined upfront, and I ended up doing far more work than expected. I want to avoid repeating that mistake.
I’m less interested in theory and more in real-world practices from people who’ve been through this.
Thanks in advance… really appreciate any insights.
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2 comments
Michelle Liber
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Practical challenges selling AI systems
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