AI Integration Services for Business Applications
Language models wired into the product you already run - descriptions, translations, tagging, and summaries at a scale manual work can't reach.
AI & Automation Scalable Secure Performance Reliable Long-Term Support
AI & Automation
AI has stopped being a project of its own. A model that reads and writes language is something you call like any other service. The question is which piece of work inside the software you already run is worth handing to it.
We build that part: descriptions generated from structured product data, catalogs translated, documents summarised, records tagged, data pulled out of unstructured text. The provider account and the API keys stay in your name, and the code lives in your repository.
When an AI integration is the right call
AI earns its place where the work is repetitive, involves reading or writing text, and is too irregular for ordinary rules. Where a query or a template answers the question, that is the cheaper and more predictable tool.
Worth doing
The cases where an integration pays for itself:
Thousands of product descriptions to write from structured data- Catalogs, documentation and marketing content to keep current in several languages
- Products, documents or media that need categorising, tagging and attributes filled in
- Tickets, contracts, reports and email threads nobody has time to read in full
- Structured data buried in unstructured documents - invoices, forms, supplier paperwork
- Internal knowledge people look for by asking a question, not guessing a keyword
Not worth doing
We will say so if you land here:
- The output must be exactly right every time and nobody will review it
- A database query, a business rule or a template already does the job
- The source data is so inconsistent a person could not answer from it either
- The volume is low enough that reviewing the output costs more than doing the work
What you get
- AI features inside the applications your team already uses, not another tool to log into
- Generation that follows your templates, tone of voice and business rules, and stays editable
- A human-in-the-loop step wherever output is published, sent or acted on
- Validation around the model, so a poor response is caught instead of passed downstream
- Usage monitoring, so the spend stays visible as volume grows
- The repository, the hosting and the model provider account - in your name, documented
What we connect it to
Most of the work is not the model call; it is everything the model has to agree with. We integrate with ERP and CRM systems, e-commerce platforms, PIM and CMS, document repositories, support software and internal applications, over their APIs and within the permissions those systems already enforce.
How we build it
- We start from a task that is costing time today, not from a list of AI features
- The model is chosen for the job - quality, latency, privacy and cost all differ
- Prompts, business rules and validation are designed together; the model is one step in a workflow, not the whole of it
- Tested against your real content before it reaches a customer or a live system
- Monitored after launch, so response quality and usage cost can be tuned
Frequently Asked Questions
What AI models can you integrate?
Commercial or open-source models, depending on your requirements - the choice comes down to response quality, latency, privacy and operating cost.
Can AI work with our existing ERP, CRM, or e-commerce platform?
Yes, through APIs, middleware or custom components, so it becomes part of your existing workflows instead of replacing what you run.
How do you ensure data security and privacy?
Access is limited to what each workflow needs, with authentication, authorization, encryption, logging and approval steps as required.
Can AI-generated content be reviewed before publication?
Yes, and most businesses prefer it. AI generates drafts, your team reviews and approves before anything is published or sent.
Which business processes benefit most from AI integration?
Content creation, localization, support, document processing, product data enrichment and knowledge search - work involving large amounts of text.
Can you build custom AI workflows instead of using off-the-shelf tools?
Yes. We build the functionality into your existing applications rather than fitting your business around a generic AI tool.
How do you control AI usage costs and performance?
We optimize prompts, pick an appropriate model per use case, cache where it makes sense, and monitor usage. The provider account is registered in your name and billed to you directly, so the spend stays visible.
Do you provide ongoing support and optimization after launch?
Yes - support, maintenance, tuning and enhancements, as both the models and your requirements move.
Discuss Your AI Integration Project
Tell us which task is eating your team's time and which systems hold the data. You will be talking to the developer who would build it.
Start Your Project 
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