AI Integration Services for Your Existing App
Add AI to the app you already run, without a rebuild.
A short call to see if this is a fit. No pressure, no slides.
Pricing
$2,000
fixed fee
What you get
- + An AI feature inside your current app, not a separate tool
- + A clean API layer so the model is easy to swap later
- + Tests and a rollback path for the new feature
- + Source code you own and a handoff session
- + Two weeks of post-launch support
Ideal for
- → Teams with a live app that want AI search, drafting, or classification
- → Engineering leads who cannot afford a rewrite
- → Product teams testing one AI feature before betting on more
Add AI to what you already have
You do not need a new app to use AI. You need one good feature inside the app you already run. We add it without touching the parts that work.
We work in your codebase, behind a small API layer, so the new feature is clean and easy to remove if it does not earn its place.
What we integrate
- Semantic search. Let users find things by meaning, not just exact words. This usually involves a vector database.
- Drafting. Generate first-draft replies, summaries, or descriptions for a human to approve.
- Classification. Tag, sort, and route incoming items automatically.
- A support assistant. Answer common questions from your own help content.
If the feature needs to read your private internal documents, that is a job for private RAG.
How we keep you free to change later
We put the model behind a clean API layer. When you connect AI to tools and data, standards like the Model Context Protocol keep the wiring tidy. The result is a feature you can update, and a model you can swap, without a rewrite.
You get the source code and a handoff session. We are easy to fire.
See it live
We run agents and AI features in production, including on this site. Look at the real work before you book a call.
Pricing and scope
AI integration starts at $2,000, fixed scope. We agree on the one feature, the handoff, and the tests up front, so there are no surprises.
A short readiness audit is the usual starting point. If you want a workflow automated across tools rather than a feature inside one app, see AI automation.
Is this right for you
This is a fit if you have a running app, access to the codebase, and one clear feature in mind.
It is not a fit if the app is a tangle no one wants to touch, or if you cannot give us code access. In that case the honest move is to fix the foundation first, and we will say so.
FAQ
See the questions above on rebuilds, feature types, and provider lock-in.
Frequently asked questions
Can you add AI without rebuilding my app?
Yes. That is the whole point of this service. We add the feature behind a small API layer in your current codebase. Your app keeps working the way it does today, with one new capability bolted on cleanly.
What kinds of features do you integrate?
The common ones are semantic search, document drafting, classification, and a support assistant. If the feature needs to read your private documents, see our private RAG service instead.
Will I be tied to one model provider?
No. We put the model behind an API layer so you can switch from one provider to another without touching the rest of your app. That keeps you free to chase a better price or a better model later.
Industries we serve with this
Other solutions
AI Agent Development Company
Custom AI agents that run in production, not demos that die in a sandbox.
AI Automation Services (n8n + LLM)
Automate the busywork with n8n and LLMs, priced one workflow at a time.
AI Readiness Audit (2 to 3 Days)
A short, flat-fee audit that tells you where AI fits and what to ship first.
Private RAG Development Services
Private RAG for teams whose data cannot leave the building.
Want to talk it through?
A short call to see if this is a fit. No pressure, no slides.
Book a scoping call