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Not every company needs AI. In our experience at A-LUX, AI delivers real ROI when at least one condition is met: large volume of typical operations (1000+ daily), team bottlenecks, unused data sitting in CRM, competitors implemented, expensive specialists.
Solution: start with a concrete task: "AI bot in WhatsApp takes orders". Not "AI transformation".
Solution: data audit before AI project. If data is dirty — clean first, then implement AI.
Solution: take a solution with fine-tuning capability or build custom. No universal AI without adaptation.
Solution: first 2–4 weeks all AI responses go through manual operator review.
Solution: 3-tier model architecture (Haiku/4o-mini → Sonnet/4o → Opus/o1). Cost drops 5–10x.
Monthly savings = (Routine hours × Hourly rate) - (API cost + dev amortization over 24 months)
About 8–12% of medium and large companies. Leaders: banks (scoring, anti-fraud), e-commerce (recommendations), retail (demand forecasting), marketing agencies (AI copywriting).
$1,700 — for simple automation (FAQ chatbot or request classification). Will give first ROI and AI experience.
Related: AI Automation, RU, KZ.