Tatiana Vdovychenko

Not every startup needs AI, but every startup needs an AI strategy. The key is whether AI can:
Enhance your core product (e.g., AI-driven features like ChatGPT in Notion)
Automate repetitive tasks (saving time & resources)
Give you a data advantage (predicting customer behavior, market trends)
If AI doesn t provide a clear ROI, wait until it does. A structured approach beats random AI adoption. JetSoftPro, a software development service, wrote an awesome guide on structuring an AI strategy for SMBs.

Most startups should NOT build AI from scratch it s expensive and time-consuming. Instead:
Build AI if it s your startup s core value (e.g., OpenAI, Midjourney)
Buy AI for non-core tasks like marketing automation, customer support, or analytics
Hybrid approach fine-tune open-source AI models to fit your niche
A smart build-vs-buy strategy can save startups months (or years) of development time. What do you think about it?

Yes until it can t. Many early-stage startups rely on founders or engineers to manage projects. This works when the team is small, but as you scale, you hit bottlenecks:
Priorities become unclear
Developers waste time on non-tech tasks
No one tracks risks, leading to costly delays

The real question isn t "Do we need a PM?" but "When will we regret not having one?"
JetSoftPro, a software development service, breaks it down in their latest guide: https://jetsoftpro.com/blog/tech...