When (and When Not) to Invest in AI Solutions

[mouakter13]

Companies with low risk tolerance should allocate additional budget to safety guardrails, testing, and human oversight.

While researching AI costs, I saw a clear pattern: AI is slowly moving from small department-specific experiments to enabling organization-wide shifts.

Companies aren’t asking if they should adopt AI, but rather how to integrate it.

Whether it is a managed solution like Hubspot Breeze or a custom implementation with API calls, there are AI solutions for each business level. Hubspot’s State of AI Marketing Report reveals 75% country wise email marketing list of companies implementing AI have gotten a positive ROI.

When I spoke to Cainey, I liked his three-step decision tree for integrating AI solutions:

1. Does it scale linearly with headcount?

2. Is it predictable enough for a model to handle?

3. Is it safe to be wrong 5% of the time?

If yes to all three, it’s on the roadmap. If not, it’s either human-led or skipped entirely.

My advice? Resist the temptation to automate or include AI in every business process. Start small, measure usage, and then scale your AI investment as you validate the ROI.