Integrationofartificialintelligenceintoexistingsites

Compatibility with your stack

Integration is possible with virtually any platform: WordPress, Shopify, custom Next.js sites, headless CMS, CRM and ERP via their APIs. The principle is always the same — a thin intermediary layer (backend-for-AI) that hides keys, caches responses and controls spend.

The frontend stays light: heavy model calls never run in the user's browser, so site speed is unaffected — critical for both SEO and conversion.

Data privacy: what can be sent to a model

The main rule is minimize. Personal data, payment information and trade secrets either never leave for external APIs or are anonymized before sending. We help you pick a provider with the right guarantees: retention policies, no training on your data, processing regions.

For particularly sensitive scenarios there is the option of self-hosting open-weight models — your data never leaves your infrastructure.

Performance and cost control

AI calls carry latency and per-token price. We build in three layers of protection: caching of repeated requests, per-user limits, and model choice per task — a small model for classification, a large one for complex generation. This typically cuts costs severalfold without quality loss.

Mandatory element — monitoring: token usage, peaks, most expensive flows. Without it, budgets leak invisibly.

What happens after launch

Models get updated and behavior changes — an integration needs oversight. We set up response logging, alerts on errors and quality degradation, and provider fallbacks so that one API outage doesn't break site functionality.