أثار عرضك التوضيحي للذكاء الاصطناعي إعجاب مستثمري جولة البذرة. الآن يسأل مستثمرو جولة السلسلة A عن بنية الإنتاج وأطر تقييم النماذج وخطط التوسع. لقد أرشدت أكثر من 30 شركة ناشئة في مجال الذكاء الاصطناعي في Berkeley SkyDeck وبنيت 8 مشاريع ذكاء اصطناعي من الصفر حتى الإنتاج. أعرف ما الذي ينهار عند التوسع — لأنني مررت بذلك.
قيادة تقنية للشركات الناشئة القائمة على الذكاء الاصطناعي. بنية تحتية تصمد أمام العناية الواجبة، وتتخطى مرحلة الإطلاق، ولا تحتاج إلى إعادة كتابة في جولة السلسلة B.
Two weeks. A written readiness report ranked by severity, plus a 90-day roadmap you can actually defend to your board
Four weeks to a strategy document, a business case, an ROI model, and a 12-month execution plan — reconciled end to end and defensible to the board, the CFO, and your head of engineering
Twelve weeks to a multi-agent production system that holds up under real traffic, with the eval harness, the observability stack, and the SRE handoff your team needs to operate it without me
Twelve weeks to harden a working AI pilot into a system that will survive its commercial stage gate — whether that is an enterprise launch, a public sector go-live, an SME rollout, or a Series A
Eight weeks to engineer prompt-injection defense, PII redaction, audit logs, and a real threat model into your AI pipeline — before a red team finds them missing
Twelve to twenty-four weeks to risk-classify your AI systems, complete the conformity assessment, produce the Annex IV technical documentation, and stand up post-market monitoring — before an enforcement deadline finds you unprepared
A monthly retainer that runs your production AI like a production system — dashboards, alerts, eval regressions, on-call response, cost tracking, and the quarterly model-refresh call your team would otherwise skip
Part-time executive AI leadership — six to twelve months, two days a week — owning the AI P&L, governing risk, reporting to the board, and coaching the team you will eventually promote into the seat
سلّم 10× مثل شركة من 1000 شخص بفريق من 10 أشخاص.