Someone asked how to price AI automation services when clients can "get the same thing cheaper elsewhere." This reveals the real problem: If your service can be directly compared on price, you're already in trouble.
The hard truth about AI automation services: You're catching a trend wave right now, making good money, but riding trends is temporary. Low barriers to entry mean you'll eventually be competing with countless others offering similar services.
Your pricing challenge isn't about finding the "right price" - it's about reframing your value proposition entirely. Start by increasing perceived value through time constraints, client limitations, and focusing on expensive business problems.
When talking with clients, lead with value first, logistics second. Business owners are logical but still human - they need to feel the impact before analyzing the details. Don't feature-dump; tailor explanations to their specific challenges.
The bundling insight: Single automation solutions are easily commoditized. Bundled solutions that solve the same problem comprehensively can command higher prices while being harder to directly compare.
Here's the path to sustainability: Move beyond just implementing automations to creating AI agents with specialized intelligence. Feed these agents with business-specific data that makes your solution increasingly valuable and harder to replicate.
The most defensible position isn't technical implementation (which is easily copied) but specialized knowledge of how to apply AI to specific business contexts. The deeper your industry expertise, the less replaceable you become.
Hope you found this valuable! :)