AI Integration into Existing Apps (OpenAI + Claude APIs)

I add production-grade AI features to the app you already run — no rewrite, no platform switch. Whether your backend is Laravel, Node.js, Next.js or Django, I wire in the OpenAI API and the Anthropic Claude API to handle document summarization, data extraction from PDFs and emails, ticket and lead classification, embeddings-based semantic search, and streaming chat responses that feel instant to your users.

The part most integrations get wrong is the operational layer, so it is built in from day one: token-cost controls with per-feature budgets and usage dashboards, rate-limit handling with retries and backoff so a provider 429 never crashes your app, prompt caching to cut repeat-call costs, and graceful fallbacks between models. You get an AED cost-per-request estimate before launch, not a surprise invoice after.

I work with Dubai, Abu Dhabi and Sharjah businesses — free-zone startups and mainland SMEs alike — that have a working product and want AI inside it: a property CRM that summarizes call notes, an accounting tool that extracts invoice fields, a support desk that triages tickets in Arabic and English. Typical projects ship within 10 working days from AED 3,000.

How it works

1. 1
   Codebase and use-case review

   I look at your repo, stack and the feature you want, then confirm the model choice and a fixed quote within 48 hours.

2. 2
   Build on a branch

   The integration is developed on a feature branch in your repository with API keys kept in your own environment, never mine.

3. 3
   Test with real data

   We run the feature against your actual documents, tickets or records and tune prompts until outputs are reliable.

4. 4
   Deploy and monitor

   I help merge and deploy, set up usage logging, and walk your team through the cost dashboard.