Do we need to train our own AI model?

Almost never. Models like GPT, Claude and Gemini are capable enough for most business tasks. What makes them useful is connecting them to your own content and systems, usually through retrieval, so they answer from your information rather than general knowledge. Fine-tuning only pays off for specialist tasks with lots of good examples.

Is our data safe if we use AI?

It can be, with the right set-up. We use provider plans and settings that don't use your data for training, restrict the AI to the information it needs, and log what it does. For sensitive data, we talk through hosting options and your compliance requirements before anything is built.

How do you stop the AI making things up?

By grounding it in your own content, telling it to say when it doesn't know, and showing sources alongside its answers. We test against a set of real questions before launch and keep reviewing answers afterwards. For high-stakes decisions, a person stays in the loop.

Which AI models do you work with?

Whichever suits the task. We work with OpenAI, Anthropic's Claude and Google Gemini, and usually design the system so the model can be swapped as prices and capabilities change.

How long does an AI project take?

It depends on scope. We aim to put a working prototype in front of you early, built on your own data, so you can judge it before committing to a full build. The production timeline then depends on integrations, data preparation and how much review the output needs.

Can you add AI to our existing website or platform?

Usually, yes. Most AI features connect through APIs, so they can sit alongside your current CMS, CRM or app. We review what you have and suggest the least disruptive way to add them.

What does AI cost to run once it's built?

You pay the model provider based on usage, plus any hosting and support. We estimate running costs before you commit, and design with caching and model choice in mind so they stay predictable as usage grows.

AI development that does real work.

We build AI into the websites, platforms and tools your business already runs on. Assistants that answer from your own content, automation that clears repetitive admin, and features your customers will actually use.

Built on OpenAI, Claude or Gemini
Answers grounded in your own data
A person in the loop where it matters
Running costs estimated up front

See platforms we've built

Global
brand experience.

What is AI development?

AI development is building software that uses AI models to do a specific job: answering questions from your documents, sorting incoming requests, drafting content or pulling data out of files. Most business projects don't train a model from scratch. They connect a proven model, such as GPT, Claude or Gemini, to your own data and systems, with clear limits on what it can see and do.

Last reviewed 25 October 2026 by the Rubik Digital team.

Assistants
Support or sales assistants that answer from your content and hand over to a person when needed.
Retrieval (RAG)
Plain-English search across documents and policies, with answers that show where they came from.
Automation
Models that read, classify and route emails, forms and files, so nobody has to copy and paste.
AI features
Summaries, recommendations and smart search built into your website, portal or app.

Years in business: 15+
Global brands: 50+
Industry sectors: 13+

Where AI usually earns its place.

“Our team answers the same questions all day.”
We fix it with an assistant that works from your help content and policies, handles the routine questions and passes anything tricky to a person.
“We tried ChatGPT, but it makes things up.”
We fix it with answers grounded in your own documents, with sources shown and firm limits on what the assistant will say.
“Someone retypes data from PDFs every week.”
We fix it with document extraction that reads invoices, forms or reports and feeds the data into your systems, with a check step for anything uncertain.
“We know AI could help, but not where to start.”
We fix it with a short discovery that finds the tasks where AI pays back fastest, then a prototype you can test before committing.

Everything connects to your data.

Models are interchangeable. What makes AI useful is how well it's wired into your content, your systems and the way your team works.

Your data

Grounded answers.

Every assistant and automation works from your own content and systems, not the open internet.

Request a proposal

AI assistants

Customer-facing or internal assistants that answer from your knowledge base and hand over to your team.

Retrieval and search

Your documents indexed and searchable in plain English, with every answer pointing back to its source.

Document processing

Data pulled from PDFs, emails and forms, checked, then sent wherever it needs to go.

Workflow automation

AI steps built into n8n or your own back end, triggered by real events in the business.

AI in your product

Summaries, tagging, recommendations and smart search added to your website, portal or app.

Monitoring

Test sets, usage logs and cost tracking, so you can see how well it works and what it costs.

Platforms we've engineered.

Explore our work

Social Impact

JTI ARISE

Preventing and helping eliminate child labour

View case study

JTI ARISESocial Impact

CupelloSports Education Technology

6,500+Global subscribers40KOrganic visits100+Club partnerships

Desucla — Cross-border tax & customs compliance

DesuclaB2B Professional Services

4Regional sites launched98%Cross-border compliance rate

Enness Global — Global UHNW finance brokerage

Enness GlobalFinancial Services

5+Primary markets reached+72%Organic traffic increase80%High-value leads increase

All work

From idea to working AI.

Small steps, real data and a prototype in your hands early, so nobody spends months building on a guess.

Start a project

Discover
Find the right job for AI.
We map the tasks, the data and the risks, then pick the use cases most likely to pay back.
Prototype
Test it on real data.
A working prototype built on your own content, so you can judge the answers before anything goes live.
Build
Make it production-ready.
Integration with your systems, guard rails, permissions, logging and the tests that keep quality steady.
Improve
Measure and tune.
We review answers, costs and usage after launch, and adjust prompts, data and models as things change.

Which kind of AI solution do you need?

Not every problem needs a custom build. Here's how the main options compare, starting with the simplest.

Which kind of AI solution do you need?
Approach	Best for	Effort to set up	Watch out for
Off-the-shelf AI tools	Individual productivity: writing, research and meeting notes	Low: sign up and agree a usage policy	Data leaves your systems, and you have little control over output
AI added to your systems	Assistants, summaries and automation using a model like GPT, Claude or Gemini	Medium: integration, prompts and testing	Usage costs and model updates to keep an eye on
Retrieval over your data (RAG)	Answers grounded in your documents, policies or product data	Medium to high: preparing content is most of the work	Out-of-date or messy content leads to poor answers
Custom or fine-tuned models	Specialist tasks with plenty of examples and strict format needs	High: data collection, training and evaluation	Rarely needed; a good prompt and retrieval often does the job

How much does AI development cost?

It depends on how many systems the AI connects to, how much content it works from and how carefully its output has to be checked. A focused prototype costs a fraction of a full rollout, which is why we usually start there. You also pay the model provider for usage, and we estimate that before you commit.

Get a fixed proposal

What moves the price

Data preparation
Cleaning, structuring and indexing your content is often the biggest part of the work, and it decides answer quality.
Effect on budget: High
Accuracy and review
Where mistakes are costly, we add evaluation sets, human review steps and stricter guard rails.
Effect on budget: High
Integrations
Each connection to a CRM, help desk, database or internal tool adds build and testing time.
Effect on budget: Medium
Model usage
Provider fees grow with volume. We choose models and caching to keep running costs predictable.
Effect on budget: Medium
Interface
A chat widget on an existing site is quick. A custom interface inside your product takes longer.
Effect on budget: Low

Why Rubik
for AI.

We'd rather tell you AI isn't the answer than build something nobody uses.

Talk to the team

We start with the job, not the model.
Every project begins with a task worth automating and a way to measure it. The technology choice comes second.
Your data stays under control.
We use provider plans and settings that don't train on your data, and give the AI access only to what it needs.
The same team builds the platform.
AI features fail at the joins. We build the website, the integrations and the AI layer, so nothing falls between suppliers.
No black boxes.
You get the prompts, the code and the logs, documented, so you can see why the AI did what it did.

Expert guidance and flawless execution. Our go‑to agency for all things digital.”

Nic CooperStrategy Director

AI Development Questions,
answered.

What people usually ask us before a project starts. If yours isn't here, ask it in the form and someone senior will reply.

Ask the team

We design and build software that uses AI models to do useful work: assistants, document processing, automation and AI features inside your website or product. That covers choosing the model, connecting it to your data and systems, adding guard rails, testing it, and monitoring it once it's live.

Start a conversation

Got a task you'd love AI to take off your hands?

Tell us what it is and what you've tried so far. We'll come back with an honest view on whether AI fits, and how we'd approach it.

The technology
we work with.

WordPress
Strapi
Payload
Concrete CMS
Shopify
Laravel
React
TypeScript
PHP
HubSpot
Stripe
Google Analytics
Google Search Console
Cloudflare
DigitalOcean
Amazon Web Services
Figma

AI development that does real work.

What should AI do for you?

Global
brand experience.

What is AI development?

Assistants

Retrieval (RAG)

Automation

AI features

Where AI usually earns its place.