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AI Integration

AI integration – artificial intelligence that helps in everyday work

Artificial intelligence is valuable when it takes real work off your hands. Colyer-Commerce integrates modern AI models directly into your website, web app or SaaS product – as an assistant, a writing aid, a data extraction tool or an automated workflow.

What you get

  • Real value, not gimmicks

    We use AI where it genuinely saves time or improves your product – never just for the sake of it.

  • Assistants & chat

    Assistants grounded in your own content and data that answer questions from customers or staff.

  • Automated copy

    Drafts for descriptions, summaries, emails or reports – for review, not for blind copy-and-paste.

  • Documents & data

    Extract structured information from documents, forms and emails and pass it on to your systems.

  • Model-agnostic

    Integration of OpenAI or Anthropic Claude – chosen by task, quality and data protection needs.

  • Humans stay in control

    Important decisions remain with people. AI output is built in so it can be traced and checked.

Why AI integration – and where it makes sense

Large language models can understand and write text, summarise documents, extract information and answer questions in natural language. For businesses that opens up new possibilities: answering customer enquiries faster, preparing routine texts automatically, making unstructured data usable and making software easier to operate.

At the same time, AI is no silver bullet. Models can be wrong, every request has a running cost, and data protection questions need answering. Good AI integration therefore starts by asking where it creates real value – and where conventional software is the better choice.

Our principle is simple: AI is a tool, not a replacement. We combine modern models with solid engineering and human judgement so that what you get at the end is reliable.

How we build AI into your product

We start with a concrete use case: which task costs time today, and what would a good result look like? Using real examples from your day-to-day work, we test how well a model handles the task before committing to a full build. That way you know early whether the approach is worth it.

Technically we connect models from OpenAI or Anthropic Claude to your application via their APIs – typically in a Next.js or Node.js environment written in TypeScript. Your own content and data are prepared so the model can draw on them without you losing control. Prompts, fallbacks and validation steps are part of the software, so results stay consistent.

Operations are planned in too: keeping an eye on cost per request, logging responses, handling errors gracefully and swapping models when it makes sense. Data protection and the handling of sensitive information are considered from the very start.

Working together: pragmatic and transparent

You speak directly with the developer who designs and builds the AI feature. We’re open about what a model can and can’t do – without hype and without jargon – so you can make informed decisions about where AI belongs in your business.

Colyer-Commerce works from Switzerland with companies across the DACH region, the UK and the rest of Europe, remotely and in English or German. Whether it’s a single AI feature in an existing application or a new product with AI at its core, we define the scope together.

After a free initial call you receive a tailored quote for your use case.

FAQ

AI Integration: Frequently asked questions

Can’t find your question? Write to us – we’ll get back to you personally and promptly.

Which AI models do you work with?

We mainly integrate models from OpenAI and Anthropic Claude. The right choice depends on the task, the quality and speed required, and your data protection requirements.

Will my data be used to train the AI?

When models are used via the providers’ APIs, their business terms apply, which generally exclude training on customer data. We review the configuration with you and make sure only the data that’s actually needed is sent.

Can AI make mistakes?

Yes. Language models can produce incorrect or imprecise answers. That’s why we build in validation steps and keep important decisions with people. AI output is used as support, not as unchecked truth.

Can AI be added to our existing software?

Often, yes. If your application is extensible or offers an API, AI features can usually be added. We’ll work out the most sensible route in our initial call.

How should we get started with AI?

Ideally with one concrete, well-defined use case that costs you time today. We test it with real examples before building it out. Get in touch for a free initial call.

Contact

Let’s build something great together.

Tell us about your idea, your project or your challenge. We’ll get back to you personally – no sales pressure, just an honest assessment.

  • Free, no-obligation initial call
  • A tailored quote instead of a fixed package
  • One dedicated contact – from day one
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