الذكاء الاصطناعي التطبيقي
AI inside the workflow, where the decision is made.
المشكلة
An AI demo answers a question. An AI deployment makes a decision that has a consequence — which means it needs data access, permission boundaries, an audit trail and a defined answer to what happens when it is wrong.
المخرجات
- 01
AI opportunity assessment against real workflows
- 02
Document and language processing
- 03
Decision support and classification models
- 04
Automation of high-volume manual steps
- 05
Evaluation, monitoring and fallback design
أين تندرج في المنهج
Which of the six build stages this capability leads, on the same path used on How We Build.
التقنيات
Named stack, listed honestly — only what the team genuinely works in today.
- TypeScript
- Next.js
- React
- Node.js
- PostgreSQL
- AWS
- Docker
- Kubernetes
نموذج التعاون
Duration, team shape and what the client or venture receives at the end.
8–12
weeks
1 Lead + 2 Engineers
Production-ready system