AI chatbots for websites and support
Assistants that answer from your own content, capture leads, book appointments and hand off to a person, on Wix, Shopify, WordPress or custom sites. See AI chatbot development.
AI for websites, apps and workflows
AI Development Services That Solve Real Business Problems
Our AI development services cover chatbots, agents, automations and LLM features that plug into the website and tools you already run. Each build targets one measurable job and is tested on your real data before launch.
Wix Legend Partner · 2,000+ projects since 2014 · 1,400+ client reviews
What are AI development services?
AI development services are the design, build and upkeep of software that uses machine learning or large language models to do useful work: answering customer questions, routing leads, reading documents, searching content or forecasting demand. They suit businesses with a repetitive, language-heavy or data-heavy task they want handled faster, inside their existing systems.
Custom AI solutions we build
Each project starts from a specific task and a way to measure it.
AI agents that take action
Agents look up records, update your CRM, draft emails and call other tools across several steps, with an approval gate on anything that can't be undone. See AI agent development.
AI workflow automation
Workflows in n8n, Make or Zapier with language-model steps inside them: sorting inbound email, reading attachments, enriching leads, writing weekly summaries. See AI automation.
GPT and LLM integrations
One AI feature added to a product you already run, such as summarization, content drafting, classification or AI search, using OpenAI, Claude or Gemini APIs. See AI integration services.
RAG knowledge systems
Retrieval-augmented generation (RAG) lets a model answer from your policies, manuals and product data, with sources shown. We handle ingestion, embeddings, vector search in Pinecone or similar, and re-indexing when content changes.
AI-powered search and recommendations
Search that understands what a shopper means rather than matching exact words, plus "related products" logic built on embeddings and browsing behavior.
Natural language processing
Extracting fields from contracts and forms, tagging tickets, scoring review sentiment, translating and summarizing. Usually one step inside a bigger process.
Computer vision
Image classification, object detection, OCR for scanned paperwork and visual quality checks, starting from pretrained Hugging Face models and training custom ones in PyTorch or TensorFlow only when needed.
Predictive analytics dashboards
Forecasts for demand, churn or lead quality, shown where your team will look at them. The interface comes from our custom dashboard development team.
We also produce video with AI: explainers, training and presenter videos through AI video production, and testable paid-social creative through AI video ads.
Chatbot, agent, automation or integration — what do you actually need?
These four get blurred together in sales pitches, but they solve different problems, cost different amounts and fail in different ways.
| AI chatbot | AI agent | AI automation | AI integration | |
|---|---|---|---|---|
| What it does | Holds a conversation and answers questions | Works toward a goal over several steps, choosing its own tools | Runs a fixed sequence of steps when something happens | Adds one AI feature inside your existing product |
| Started by | A visitor typing | A person, a schedule or an event | An event: new email, form, file or record | A user clicking a button |
| Takes actions? | A few: capture a lead, book, hand off | Yes, across several systems | Yes, the same ones every time | Inside your product only |
| Predictability | High when grounded in your content | Lowest; needs guardrails and approvals | Highest | High |
| Example | "What's your return policy?" on your site | "Research this lead, update HubSpot, draft an intro email for review" | "When an invoice arrives, extract the totals and log them" | A "summarize this report" button in your app |
| Starts from | $2,000 | Custom AI from $8,000 | $3,000 | $2,500 |
Choose a chatbot if…
Your biggest cost is answering the same questions over and over, or leads drift away because nobody replies after hours.
Choose an agent if…
The job requires deciding what to do next, and those steps touch several systems. Most businesses need fewer agents than vendors suggest.
Choose automation if…
You can draw the process as a flowchart. When every case follows the same path, a workflow is cheaper, faster and easier to debug than an agent. The AI goes only into the steps that read or write language.
Choose integration if…
Customers already use your product or website, and you want an AI feature inside it rather than a separate tool they have to find.
Not sure? That's what the free call is for. Many projects combine two, such as a website chatbot that triggers an automation to create a CRM record.
Generative AI development and LLM development, explained
Most business AI today runs on large language models (LLMs) from OpenAI, Anthropic, Google and others. Generative AI development is the engineering around the model that makes it behave reliably for your job.
Prompts and structured output
We write the system instructions, add worked examples and require JSON that matches a schema, so the rest of your software can trust what comes back.
Retrieval before fine-tuning
For most projects, giving the model the right documents at question time (RAG) beats fine-tuning: it's cheaper, easier to keep current and can cite sources. We fine-tune only for a clear reason, like a consistent output style across thousands of examples.
Model selection on evidence
We test your real tasks on two or three models and choose on accuracy, speed, cost and data terms, then structure the code so you can switch providers later. Sometimes a small, inexpensive model wins.
Evaluation sets
Before launch we build a set of real questions or documents with known correct answers and score each version against it. That's how we know a change made the system better, not just different.
Classic machine learning, where it fits
Predicting churn from a table of customer history is a job for traditional machine learning, like gradient-boosted trees or regression, not a language model. We use Python, scikit-learn, PyTorch or TensorFlow when an LLM is the wrong tool.
When AI isn't worth it
We'd rather lose a project than build something that won't pay for itself. Here's when we usually advise against AI.
- The rules are already clear. If "orders over $500 go to the sales manager" covers it, a plain automation does the job for less and never improvises.
- The volume is tiny. Automating a task that happens twice a month rarely earns back the build cost.
- There's no source of truth. A support bot can't answer accurately when your policies live in three people's heads. Writing the documentation comes first, and sometimes solves the problem by itself.
- Every output must be right, with nobody checking. Legal, medical, financial and safety-related answers need human review. If no one can review, AI is the wrong tool.
- The real problem is the website. If visitors can't find your pricing, a chatbot is a bandage. A clearer page often does more.
- Running costs would outgrow the value. Model usage is billed per request, so for high-volume, low-value tasks we work out the cost per run before building.
- The brief is "competitors have AI." Fair instinct, weak brief. We'll help you find the one place AI would earn its keep, or tell you there isn't one yet.
Why choose Wix Engine as your AI development company
- 2,000+projects delivered
- 10+years in business
- 15+countries served
- 50+technologies
AI that lands inside real websites and apps
Since 2014 we've delivered 2,000+ projects on Wix, WordPress, Shopify, Next.js and custom stacks. The model call is often the easy part. Wiring it into your CMS, checkout, logins and CRM is where AI projects stall, and that's our core work.
Honest scoping
You'll hear "you don't need AI for this" from us when it's true. Every proposal states what the system will do, how we'll measure it and what it should cost to run each month.
Wix Legend Partner
Legend is the highest tier in the Wix Partner Program, which we reached in 2021. If your site runs on Wix, we add AI through Velo backend code, with API keys stored in the Wix Secrets Manager.
Privacy by default
We sign NDAs on request, keep API keys on the server and use paid API tiers whose terms exclude your data from model training by default. If your project involves regulated data, such as health records under HIPAA or personal data under GDPR, tell us on the first call and we'll agree on providers, data processing terms and hosting region with you before the build starts.
Clear communication
Email replies within 2–4 business hours, a detailed proposal within 24 hours of your call, and one point of contact from kickoff to launch.
How an AI project works
- 01
Free 30-minute call
You describe the task, the volume and the systems involved. We tell you which approach fits, or whether AI is worth it at all.
- 02
Proposal within 24 hours
Scope, success measure (for example, the share of test questions answered correctly), architecture, timeline, build price and estimated monthly running cost.
- 03
Proof of concept
A working prototype on your real data, scored against the test set. Typically a few weeks. You decide whether to continue before the full build starts.
- 04
Production build
Integrations, interface, guardrails, logging, admin controls and documentation.
- 05
Launch and monitoring
We review real conversations or runs, fix recurring failures and track cost per request.
- 06
Ongoing improvement (optional)
A monthly retainer to refresh knowledge, re-test when providers update models and add features.
Tools & technologies
models & apis
- OpenAI API
- Claude (Anthropic) API
- Gemini API
- open-weight models via Hugging Face
frameworks
- LangChain
- LangGraph
- Model Context Protocol (MCP)
- Python
- TensorFlow
- PyTorch
- scikit-learn
retrieval & data
- Pinecone
- pgvector (PostgreSQL) and other vector databases
- embedding models
automation
- n8n
- Make
- Zapier
Work
AI work and results
We publish case studies only with real, client-approved results.
Custom AI chatbots on Wix. We built custom AI chatbots for Canada Medical Notes and US Medical Notes, two online medical-documentation services, and for Sharon Homes, a real-estate firm in Cyprus and Greece. Each one is written with Velo and custom elements and runs inside the client's Wix site.
E-receipt automation. For a client selling pricing plans on Wix, every purchase now generates a fiscal e-receipt through the eParagony.pl API, and the customer gets the link by email.
Our web and app portfolio, including builds for Lightspeed Venture Partners and Purely Solutions, is on our projects page.
What clients said
- Workflow automation
“The developer successfully automated our sales-to-fiscal workflow. Every pricing plan purchase on the website now triggers automatic e-receipt generation via the eParagony.pl API. Additionally, he set up an automated email that delivers the online receipt links directly to clients. Great work. Thanks!”
bbartosz299Poland · via Fiverr
How much do AI development services cost?
AI chatbots start from $2,000. Custom AI projects, including agents, RAG systems, computer vision and predictive models, start from $8,000.
What moves the price:
- Data readiness clean, current documents index quickly; scattered PDFs and spreadsheets need cleanup first.
- Integrations each connected system (CRM, helpdesk, store, ERP) adds build and test time.
- Accuracy bar higher-stakes outputs need a larger test set and more evaluation rounds.
- Autonomy systems that act on their own, like issuing refunds or editing records, need approval flows, permissions and audit logs.
- Interface a widget on your site is simpler than a full admin dashboard.
Running costs are separate from the build: model API fees billed per request, usually to your own account, plus hosting or database fees in some setups. We estimate them in the proposal.
You can work with us on a fixed-price proof of concept, a fixed-price build, or a monthly retainer for improvements and monitoring. Describe the task you want handled and you'll get an estimate within 48 hours.
FAQ
Frequently asked questions
How much do AI development services cost?
AI chatbots with Wix Engine start from $2,000, and custom AI projects such as agents, RAG systems and predictive models start from $8,000. On top of the build, expect usage-based model API fees, which we estimate in your proposal. Send us the task and we'll return an exact estimate within 48 hours.
What does an AI development company do?
An AI development company scopes, builds and maintains software that uses AI models to handle a business task. That covers choosing the model, preparing your data, connecting the AI to your existing systems, building the interface, testing accuracy and monitoring it after launch. The integration and testing work usually takes longer than the AI itself.
Do I need an AI chatbot or an AI agent?
You need a chatbot if the main job is answering questions in a conversation. You need an agent if the job involves taking several actions across different systems, like researching a lead, updating your CRM and drafting an email. If the steps never change, a workflow automation is usually cheaper and more reliable than either.
How long does an AI development project take?
A focused chatbot typically takes 2–4 weeks and a single AI integration a few weeks, while agents, RAG systems over large document sets and custom models take longer. We often start with a short proof of concept on your real data, so you can see results before committing to the full build.
Will my company data be used to train AI models?
Not by default on the paid API tiers we use: OpenAI, Anthropic and Google state that API data isn't used for model training unless you opt in. RAG systems also leave the model unchanged; your documents are only retrieved at question time. We review each provider's current terms with you before the build.
Which AI model do you use: ChatGPT, Claude or Gemini?
We use whichever performs best on your task. We test two or three models from OpenAI, Anthropic and Google, and open-weight models when data has to stay on your servers, then compare accuracy, speed and cost. The code is structured so you can switch providers later without a rebuild.
Can you add AI to my existing website?
Yes, without rebuilding it. We add AI features to Wix sites through Velo backend code, to WordPress through custom plugins, to Shopify through apps and theme extensions, and to Next.js or React apps directly. Our AI integration services page covers model choice, privacy and cost control in more depth.
What happens when the AI gets something wrong?
It will occasionally, so we design for it. Answers are grounded in your approved content, uncertain cases go to a person, irreversible actions need approval and every interaction is logged. We review failures after launch and add them to the test set so the same mistake gets caught before the next update.
Tell us the task you want AI to take off your plate
Book a free 30-minute call. We'll tell you honestly whether AI fits, which approach makes sense and what it would cost to build and run, with a detailed proposal within 24 hours.
Sohaib Mehmood
Owner & CEO
Wix Legend Partner · 2,000+ projects since 2014 · 1,400+ client reviews