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AI Integration for Apps and SaaS Products

Smart search, summaries, content generation and in-app chat, built into your web app or SaaS product.

At a glance

  • Intro call

    Day 1

  • Written proposal

    1–2 days

  • Updates and replies

    Weekly updates, replies within 24 hours

  • Revisions

    One free round included

What AI integration means

AI integration means adding features powered by language models directly into your own app or SaaS product, so your users get help where they already work. That can be a search box that understands questions, automatic summaries, drafted content, or an assistant inside the product.

We build these features into web apps made with Next.js and React and Node.js, using OpenAI, Claude or Gemini. We have taken an AI chatbot SaaS product from finalised Figma designs to a production launch, so we plan for the practical side too: running costs, usage limits and keeping data secure.

What You Get

  • Smart search and answers

    Users ask questions in plain language and get answers from your product's data.

  • Summaries and drafts

    Long content summarised and first drafts written for users to edit.

  • In-app assistant

    A chat assistant inside your product that helps users get things done.

  • Classification and tagging

    Content, tickets or records sorted automatically.

  • Usage and cost controls

    Limits and monitoring so AI costs stay predictable.

  • Secure handling of data

    Your users' data handled carefully and only shared with the AI provider when needed.

Who It's For

  • SaaS companies adding AI features to an existing product
  • Startups building a new AI-powered product
  • Teams with a Next.js, React or MERN codebase
  • Products with lots of content or data users need to search

Tools We Use

  • OpenAI
  • Claude
  • Gemini
  • Next.js
  • React
  • Node.js
  • MongoDB

How We Work

A simple, clear process from the first call to handover, with no surprises along the way.

  1. 1Day 1

    Intro call

    We talk through your project, your goals and what you need, and agree what will be delivered.

  2. 21–2 days

    Detailed proposal

    You get a written proposal with the scope, price, timeline and tech stack. We only move forward once we both agree.

  3. 31–2 days

    Access & setup

    We tell you exactly what we need to start, such as a WordPress login, Git repository or API keys, over a call or by message. Then we set up the project.

  4. 4Agreed per project

    Build with weekly updates

    After kickoff you get an update every week, and we reply to your messages within 24 hours. The length depends on the project and is agreed with you up front.

  5. 51 day to preview

    Review & free revision

    We send you a link to check the finished website, and one round of revisions is included free.

  6. 62–3 days

    Final changes & handover

    We finish the revisions and hand over your website along with any other project material.

Frequently Asked Question

Everything you need to know about working with us

Contact Us
Yes. We join existing codebases, especially Next.js, React and MERN projects. Share the repository and we scope the work in a written proposal.
We choose a model that fits the task, add usage limits and monitoring, and avoid sending more data to the AI provider than each feature needs.
That depends on the provider and plan. We explain the options for OpenAI, Claude and Gemini so you can choose the right setup for your data.

Talk to a Real Human, Not a Sales Bot

No pressure. Just a real conversation about how we can improve your digital presence — free of charge.