AI Integration ServicesAdd AI features people actually use.
I integrate LLMs like Claude and GPT into your product: chat, search, summarisation, and smart assistants, built to be fast, safe, and genuinely useful.
By Parish Khan, senior developer since 2013
Updated
- Starting price
- $3,000
- Typical project
- $8,000 to $10,000
- Typical timeline
- 5 to 7 weeks
What AI Integration involves
AI integration means adding intelligence to the product you already have: a support assistant that answers from your docs, semantic search that understands intent, auto-summaries, drafting, tagging, or extraction. Done well, it feels like a natural part of the app, not a bolted-on gimmick.
I connect the right model (Claude, GPT, or an open model) to your data with retrieval-augmented generation (RAG), streaming responses, guardrails, and fallbacks, so it is accurate, fast, and does not fall over when traffic spikes or the model changes.
What you actually get
RAG over your data
Answers grounded in your content with vector search, so the AI is accurate instead of confidently wrong.
Streaming and fast
Token streaming and edge deployment so responses feel instant, not laggy.
Safe by design
Prompt hardening, rate limits, cost caps, and human-in-the-loop where it matters.
Estimate your AI integration cost
Answer three questions and pick any extras. You get a price range and timeline instantly, and can send it straight to me for a fixed quote.
Your estimate
About 2 to 3 weeks
A ballpark to plan with, not a quote. Your answers go along with the brief, so the fixed quote comes back faster.
Or skip the quote
Build it on the Build plan at $2,490/month instead. This estimate equals about 1 month of a plan, and the plan keeps going after launch. Pause anytime.
How the subscription works
AI Integration cost breakdown
What AI integration typically costs at three levels of scope. Every project still gets its own fixed quote.
| Scope | Cost | Timeline | What it looks like |
|---|---|---|---|
| Starter | $3,000 to $3,750 | 2 to 3 weeks |
|
| Typical | $8,000 to $10,000 | 5 to 7 weeks |
|
| Advanced | $18,900 to $23,750 | 12 to 16 weeks |
|
Starter
$3,000 to $3,750
2 to 3 weeks
- Summarise, draft, or tag content
- None, or a few documents
- A new or small app
Typical
$8,000 to $10,000
5 to 7 weeks
- Chat or search over your own docs (RAG)
- A knowledge base or help centre
- Your existing production app
Advanced
$18,900 to $23,750
12 to 16 weeks
- An assistant that takes actions in your app
- Several live sources (database, CMS, files)
- Several apps, or exposed as a public API
- All add-ons
What drives the cost
What the AI has to do
A single-prompt feature is quick to ship. Answering from your own data, or taking actions inside your app, needs retrieval, tool wiring, and far more testing.
- Summarise, draft, or tag contentBase
- Chat or search over your own docs (RAG)+$2,500
- An assistant that takes actions in your app+$5,500
How much data it reads
Every extra source means ingestion, chunking, and sync jobs to keep answers current.
- None, or a few documentsBase
- A knowledge base or help centre+$1,000
- Several live sources (database, CMS, files)+$3,000
The app it plugs into
Adding AI to an existing production app means learning its codebase and shipping without breaking what already works.
- A new or small appBase
- Your existing production app+$1,500
- Several apps, or exposed as a public API+$3,000
A good fit if
- SaaS teams adding an AI assistant, search, or copilot to an existing product
- Businesses that want AI answering from their own docs and data
- Founders who tried a quick AI demo and now need it production-grade
What is included
- Model selection and prompt design for your use case
- RAG pipeline: embeddings, vector store, retrieval
- Streaming chat or assistant UI wired into your app
- Guardrails: rate limiting, cost controls, content safety
- Evaluation and monitoring so quality does not drift
- Clear docs so your team can extend it
How it runs
No surprises and no black box. You see a live URL from week one.
- 1
Scope
We pick one high-value use case and define what "good" looks like.
- 2
Prototype
A working slice against real data in days, so you can feel it early.
- 3
Harden
Guardrails, evals, and cost controls before it meets users.
- 4
Ship
Deployed on fast infra, monitored, and handed over.
Typically built with
Claude
Next.js
TypeScript
Supabase
Cloudflare Workers
Proof, not promises
Two ways to get AI Integration.
As a fixed-price project with a clear finish line, or as part of a monthly subscription where you add requests and never wait for a quote.
Monthly subscription
A senior developer on call for one flat price. Add unlimited requests, I ship them one by one. The price never moves while the work keeps coming.
- No quotes, ever
- Unlimited requests
- 1 to 2 day turnaround
- Pause or cancel anytime
- Shared request board
- You own all the code
from$990/month
See plansFixed-price project
One defined build with a clear finish line. You get a written scope, a timeline, and one number before any work starts.
- Fixed quote in one business day
- Milestone payments
- Launch, handover, and support window
from$1,500
Start a projectAI Integration FAQ
How much does AI integration cost?
AI Integration starts at $3,000. A typical mid-sized project runs between $8,000 and $10,000, and an advanced build between $18,900 and $23,750. You always get a fixed quote before work starts, and the cost estimator on this page gives you a ballpark in under a minute.
How long does AI integration take?
A starter project takes about 2 to 3 weeks, a typical one 5 to 7 weeks, and an advanced one 12 to 16 weeks. You see a live URL from the first week, so progress is visible the whole way.
What affects the cost of AI integration?
Three things move the price most: what the AI has to do, how much data it reads, and the app it plugs into. Optional extras such as evaluation suite and quality monitoring or usage limits and cost dashboards add to the total.
Which AI model do you use?
Whichever fits: Claude and GPT for quality, open models when cost or privacy matters. I design so the model can be swapped without a rewrite.
Will it make things up?
RAG grounds answers in your real content, and I add citations and guardrails. It is built to say "I do not know" rather than invent.
How do you control AI costs?
Caching, right-sized models, token budgets, and rate limits. You get cost visibility, not a surprise bill.
Need just one piece of this?
These fixed-price services have a set scope and delivery time. Order in two minutes, no quote needed.
Often paired with
Ready to add AI?
Tell me your use case. I will map the fastest path to a real, useful feature.
Prefer one fixed price for one defined build? Start a project
You work with me directly, on a monthly plan or a fixed-price project. No agency layer, one person accountable for the build.