AI Integration
Adding language models to the software you already run, with clear limits and costs.
AI integration means connecting large language models, such as OpenAI's GPT, Anthropic's Claude and Google's Gemini, to your own systems through their APIs. Common builds are chat assistants, extracting data from documents, and search over your company's own files and data. The model is rented per use. The real work is the plumbing, the prompts and the checks around it.
These models can be confidently wrong, they cost money on every call, and they need care with private data. Hire a developer who builds testing, logging and human review in from the start, not just a demo.
What We Build With It
- Connect OpenAI, Anthropic and Google Gemini APIs to web apps, CRMs and internal tools
- Build retrieval (RAG) search over company documents using vector databases
- Extract structured data from invoices, contracts and forms into JSON
- Add tool use so a model can look up orders, create tickets or call your APIs
- Set up evaluation tests, logging, rate limits and cost tracking
- Handle data privacy: redaction, access control and choosing where data is processed
Where It Fits Best
- Customer support assistants that answer from your help content
- Invoice, purchase order and contract data extraction
- Internal search across policies, manuals and past tickets
- Drafting emails, product descriptions and reports for human review
- Classifying and routing incoming emails or tickets
Let's build somethingsimple & powerful
Frequently Asked Questions
Will our data be used to train the AI model?
It depends on the provider, the plan and your settings. Business API plans generally have different data terms from free consumer apps, so read the provider's current data policy before sending customer data. A careful developer can also remove personal details before anything is sent.
How accurate will an AI assistant be?
It will make mistakes, sometimes with confidence. Accuracy improves when the model answers from your own documents and is tested against real examples. For anything legal, financial or customer-facing, keep a human check in the loop.
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