Do we need to rebuild our app for this?

No, that's the specific point of integration work. We build AI capability into your existing software, not a replacement for it.

How long does integration take compared to building something new?

Integration is typically faster than a full build, since the core product already exists, we're connecting AI into what's already working.

Will this work with our existing tech stack?

In most cases yes, we review your actual architecture during discovery and confirm the integration path before any development starts.

Who owns the integration once it's built?

You own it completely, the moment the final payment is received.

Will changes after launch cost extra?

Anything requested after the scope is locked and signed is scoped and billed separately, we'll walk through that directly on your first call.

Start My 21 Days

AI Integration Services

Add Real AI Capability Into Your Existing App Or Software

You don't need to rebuild your product to add real AI to it. LiFet integrates AI directly into the software you already have and already sell, connected to your real data, without starting over.

Who This Is For

Built For Products That Already Exist

This page is for businesses with real, working software that now needs AI capability added to it, not replaced. Founders with an existing product who need to compete with AI-forward competitors, and companies with internal tools that need AI added without disrupting what already works.

BOLTED-ON

The Real Problem This Solves

Most AI Additions Feel Bolted On

A lot of AI integrations feel exactly like what they are, a separate tool stapled onto the side of a product, disconnected from the real data and real workflow underneath it. LiFet integrates AI directly into your existing architecture, connected to your real database and your real product, so it feels like it was always part of the product, not an add-on.

What's Included

Direct API integration into your existing software, no rebuild required.

Webhook-based automation connecting AI to tools you already use.

AI features embedded directly into a product you already sell.

Connection to your existing database, working with your real data, not a copy.

Integration built around your existing codebase and architecture.

A faster path to real AI capability than rebuilding from scratch.

PROCESS

How We Build It

Discovery and Risk Assessment

We review your actual existing software, your actual architecture, and flag real risks before any code gets written.

Scope and Compliance Definition

The exact integration points and any real compliance requirements get locked in writing before development begins.

UI/UX Design

A real, tested plan for how the AI feature fits into your existing product you review and approve before the build phase starts.

Technology and Architecture Setup

The real technical foundation gets built first, API connections and core infrastructure, before any feature work starts.

Agile Software Development

The integration gets built and verified one connection point at a time, tracked against a visible pipeline you can see progress on.

Quality and Security Testing

Every integration point is tested against your real system before it counts as done, not assumed working.

Deployment and Launch

The AI capability goes live inside your real, existing product, not a separate standalone tool.

Continuous Support and Optimization

Real, ongoing monitoring and support after launch, not a one time handoff.

Relevant Tech Stack

Built On Proven, Modern Technology

Node.js and Python for real integration logic, GraphQL and FastAPI for clean API connections, PostgreSQL, Supabase, and Docker for reliable infrastructure, and React and TypeScript for any interface changes the integration needs.