Generative AI Integration for Products You Already Run

Generative AI integration without rebuilding your product

Good AI features are narrow and sit where the user already works. A summarize button on a long record. A search box that understands a question. A draft reply in the support console. We start from your existing screens and data model and identify the points where a model call removes real effort. The feature is then built into your current frontend and backend, behind a feature flag, using the authentication and permissions you already have.

The model call itself never runs from the browser or the mobile app. Requests go through your backend or a dedicated gateway, which keeps API keys private, enforces who can use what, and assembles the prompt from trusted data. Responses stream back to the interface so users see output immediately. If a provider is slow or unavailable, the gateway retries, falls back to another model, or degrades gracefully to the non-AI behavior.

• Works with your existing frontend and backend
• API keys kept server side
• Streaming responses for a fast interface
• Feature flags for gradual rollout
• Graceful fallback when a provider fails
• Usage metering per user or account

Choosing models and controlling cost, latency and data exposure

Not every feature needs the most capable model. Tagging and short summaries run well on small, fast models. Complex reasoning and long documents justify a larger one. We match each feature to the smallest model that passes its quality tests, and route requests accordingly. Prompt caching, response caching and batch processing for non-urgent work reduce cost further. Token usage is tracked per feature and per customer, so you can see spending and set limits or pricing tiers.

Data exposure is handled deliberately. We document what each feature sends to a model, strip fields it does not need, and select provider settings that keep your data out of model training where the provider offers them. Hosted APIs from OpenAI, Anthropic and Google suit most products. If your customers require that their data stay within your infrastructure, the same gateway can route those requests to open-weight models hosted privately.