Recommendations, smart search, content assist, and automation layered onto existing web or mobile apps — behind flags and budgets.
← Services
AI Feature Integration
Recommendations, smart search, content generation, and automation inside your existing product.
No rebuild AI features inside the product you already ship
Who this is for
Teams with a live product who want AI leverage without pausing roadmap for a greenfield rewrite.
The problem clients bring us
Stakeholders ask for “AI everywhere.” Engineers fear a rewrite. Without isolation, a model outage or cost spike takes down core checkout.
How Xaironix approaches it
Isolate AI behind a service boundary. Feature flags, fallbacks, and cost caps. Ship one high-value feature end-to-end before expanding.
Outcome you can expect
You get AI where it converts — without gambling the whole product on a single vendor call.
What we ship
- AI microservice or module with clear API contract
- Feature-flagged UX in React, Vue, or React Native
- Fallbacks when the model or vendor is down
- Usage metering and per-tenant budgets
- Playbook for the next AI feature on the same rail
Why teams trust Xaironix on this work
- NDA before product data is connected
- Senior full-stack + AI engineers on the thread
- You own the integration code and configs
- 90-day post-launch support included
Tech stack
OpenAI
Laravel
Node.js
React
Vue
Ready to scope this?
Talk to a senior engineer — NDA-ready, no account managers.
Start Your Project Or message us firstProof of work
Related case studies
−40%
p95 database latency under heavy concurrency
Fintech SaaS MVP — Concurrent Ledger APIs
Node.js microservices and API rate limiting cut p95 database latency by 40% under heavy concurrency — without a risky full rewrite.
Read deep breakdown<3s
Status lag at peak (down from minutes)
Multi-Tenant Fleet Ops SaaS (Laravel, React)
Event-driven Laravel pipelines cut dispatcher status lag from minutes to under 3 seconds at peak concurrency.
Read deep breakdown