Applied AI for SaaS, From Signals to Systems.
Most AI projects fail, not because the models are bad, but because teams do not know how to turn signals into systems. That is the exact problem Maherchandani set out to solve after building AI in production (not just demos) and repeatedly seeing the same gap: plenty of ideas, plenty of models, very few real outcomes.
Maherchandani writes from direct, current experience,he is the-Head of AI at Hiver, an AI-powered customer service platform. The book breaks down how to actually ship AI features rather than just experiment with them, how to turn messy real-world data into reliable product experiences, and where most teams go wrong along the way. One detail he shares publicly: an entire chapter reframes prompts as product specs for AI behavior, not throwaway strings — the shift from ownership to accountability to better AI output.
Who this is for: SaaS product teams and technical founders who have built AI demos but struggled to turn them into dependable, shipped features,this is a practitioner’s account rather than theory from someone still just experimenting.
Get the book here → https://amzn.to/4fB9qiv
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Applied AI for SaaS-from Signals to Systems.By Anurag Maherchandani
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