AI-персонализация без хайпа: что работает в реальных проектах

The question is no longer 'should we use AI?' It's 'where does it earn its keep?' We've found three areas where AI creates measurable impact: structured brief assistants that help users articulate complex project needs, content slot personalization that surfaces relevant case studies based on visitor signals, and lead intelligence summaries that arm sales teams with context before the first conversation. What we refuse to do: let AI rewrite public-facing pages, fabricate testimonials, or make commitments on our behalf. Every AI-generated output in our system is logged, prompt-versioned, and paired with a deterministic fallback. The rule is simple: if the AI goes down, the experience still works.