AI INTEGRATION FOR EXISTING SOFTWARE

Add AI to your existing Rails app without rebuilding it.

For SaaS teams and operators with a working Rails product who want AI features inside it. We pick the first feature worth building, integrate it into your existing architecture, and measure its quality before it reaches users.

AI inside your workflows, not a bolt-on chatbot
Built on your existing Rails codebase
Quality checked before launch

10+ years · systems trusted on 32M+ transactions

32M+

Transactions processed

10+ yrs

Shipping Rails in production

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SOUND FAMILIAR?

Everyone wants AI in the product. Nobody wants to break production.

Customers and leadership are asking for AI features in your product.
Your team has a prototype, but no path to production.
You are not sure which AI feature is worth building first.
You worry about cost, latency, and wrong answers reaching users.
Sensitive customer data needs to stay under your control.
The Rails codebase was not designed with AI in mind.

WHY CHOOSE STACKWORX

AI, inside the systems you already run

Not a chatbot bolted onto your homepage. We wire AI into the workflows that move your business, where it actually earns its keep.

Start with one feature

We pick a first feature with clear value and measurable quality, rather than an AI roadmap that never ships.

Fits your Rails architecture

Background jobs, caching, and fallbacks so AI calls do not slow down or take down the rest of the app.

Measured before launch

We define what a good result looks like and test against it before users see the feature.

WHAT YOU GET

AI features in existing software, done properly

01Core

AI integration for Rails apps

AI features built into your existing Rails product and the data it already holds.

Rails
LLM APIs
Background jobs

Feature selection & scoping

Choose the first AI feature by value, risk, and how easily its quality can be measured.

Text generation & classification

Drafting, summarizing, and classifying inside the workflows your users already use.

Recommendations

Product and content recommendations built into the flow, as we did for Midway Sports.

Guardrails & data controls

Prompt design, output checks, and rules for what data leaves your system.

Monitoring & cost control

Tracking quality, latency, and usage costs after launch.

32M+
Transactions processed
20,000+
Agents on our platforms
20+
Long-term partnerships
10+ yrs
In production

Proof · Midway Sports

AI recommendations in a production store.

AI product recommendations built into Midway Sports' Shopify operation, alongside the order and inventory system behind 18.5M+ transactions and 200,000+ SKUs.

18.5M+transactions processed

Book a Discovery Call

Midway Sports order and inventory management system

HOW IT WORKS

From first call to an AI feature in production.

01
Discovery call
A 45-minute call on your product, your data, and what users need.
02
Pick the first feature
We scope one feature and define how its quality will be measured.
03
Build & evaluate
Built into your Rails app in increments and tested before launch.
04
Own it
We monitor, tune, and extend the feature long-term.

WHAT CLIENTS SAY

Partners, not vendors

Farooq did the job well. Very responsive and fast communication. Recommend.

Upwork client

AI calling agent build (Python, RetellAI, Supabase)

Verified on Upwork

RELATED GUIDES

FAQS

Frequently asked questions

Can you add AI to an existing Rails app without rebuilding it?

Yes. We pick the first AI feature worth building, integrate it into your existing Rails architecture, and measure its quality before it reaches users.

Which AI feature should we build first?

We choose the first feature by value, risk, and how easily its quality can be measured, rather than an AI roadmap that never ships.

How do you keep AI from slowing down the app or leaking data?

Background jobs, caching, and fallbacks keep AI calls from slowing down or taking down the rest of the app. Prompt design, output checks, and rules for what data leaves your system cover guardrails and data controls.

Have you built AI features in production?

Yes. We built AI product recommendations into Midway Sports' Shopify operation, alongside the order and inventory system behind 18.5M+ transactions and 200,000+ SKUs.

Ready to add AI to your Rails app?

Book a 45-minute Systems Discovery Call. You leave knowing which AI feature to build first and how it fits your app, whether you hire us or not.

Book a Discovery Call

Add AI to your existing Rails app without rebuilding it.

Get an AI integration plan

Everyone wants AI in the product. Nobody wants to break production.