AI Integration
The wiring, not the rebuild. We connect your existing software to the AI provider that fits — quietly, in the background, without your team noticing a migration.
Most software wasn't built with AI in mind — and it doesn't need to be rebuilt to get it. Integration is the unglamorous, essential layer that lets a fifteen-year-old PHP platform talk to a model released last month: an API call here, a webhook there, a new field quietly appearing in a form your team already uses.
We treat integration as infrastructure, not a feature demo. That means error handling for when an AI provider times out, fallbacks for when a response doesn't meet your quality bar, and logging so you can see exactly what the AI did and why — the same engineering discipline as any other production system.
A typical first integration touches three things: an API client wired to the provider you've chosen, a small addition to your existing database schema to store AI-generated fields, and a review step so someone can see what the AI produced before it's fully trusted. None of that requires touching the rest of your codebase.
We've done this across PHP/Laravel platforms, WordPress sites and custom internal tools — the underlying pattern barely changes from client to client, only the specific hooks and data model do.
What "integration" actually covers
API Integration
Direct, authenticated calls to OpenAI, Gemini, Claude or DeepSeek — with retries and fallbacks built in.
Database Integration
AI-generated fields written straight into your existing schema, no parallel system to maintain.
CRM & ERP Integration
AI surfaces inside the tools your team already has open — not a new tab to check.
WhatsApp & Email Integration
AI-assisted replies on the channels your customers are already messaging you on.