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Generative AI Integration Into Everyday Tools
Add drafting, summarising, chat and smart search to the tools your teams and customers already use, securely, on approved models and with costs under control.
Quick answer
What is generative AI integration?
Generative AI integration is adding large language model features to existing software: drafting replies in a helpdesk, summarising calls in a CRM, answering questions on a website, or searching internal documents. ML Data House connects approved LLMs through secure APIs, adds your data with RAG, and controls quality, privacy and cost.
- LLM features inside your current apps
- Website and in-app AI assistants
- Approved models with data-privacy controls
- Usage limits, caching and cost monitoring
What we deliver
What our Generative AI Integration service covers
Helpdesk AI
Suggested replies, summaries and tagging inside your support tool.
CRM AI
Call and email summaries, follow-up drafts and account briefs.
Website assistants
Customer-facing chat that answers from your content and hands over to staff.
Internal search
Ask questions across SharePoint, Google Drive, Confluence or Notion.
API and SDK integration
OpenAI, Anthropic, Gemini, Azure OpenAI or Bedrock connected properly.
Cost and quality control
Model routing, caching, limits and quality monitoring.
How it works
Our Generative AI Integration process
Short, visible steps with a demo or decision at the end of each one.
Connect
Integrate APIs, data sources and access rules.
Test
Evaluate quality, safety and cost on real examples.
Roll out
Launch to users, train them and monitor.
Deliverables
What you get
- Integration design and model choice
- LLM features live in your tools
- RAG connection to your content
- Safety filters and access controls
- Usage and cost dashboard
Best fit
This is right for you if…
- You want ChatGPT-like features inside your own app
- Teams copy and paste between tools and AI chats
- Your website needs a smarter assistant
- IT wants control over which AI models are used
UK & US
Generative AI Integration for UK and US businesses
One remote team, planned around the rules and working patterns of each market.
United Kingdom
We work from our UK office in Wolverhampton with clients across England, Scotland, Wales and Northern Ireland, remotely. Projects are planned around UK GDPR and the Data Protection Act 2018, ICO guidance on AI and data protection, and, if you sell into Europe, the EU AI Act.
For UK organizations we can route data to UK/EU-hosted model endpoints and add the privacy notices UK GDPR requires for customer-facing AI.
United States
We work remotely with US companies from coast to coast, and UK working hours overlap with the US East Coast morning for live calls and demos. We plan around the NIST AI Risk Management Framework, state privacy laws such as the CCPA/CPRA, and sector rules like HIPAA where they apply.
For US organizations we can use US-hosted endpoints and add disclosures customers and state laws increasingly expect for AI chat.
Tools, models & frameworks
OpenAI APIAnthropic APIGoogle GeminiAzure OpenAIAWS BedrockMicrosoft Copilot StudioZendeskHubSpotSharePointn8n
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FAQ
Generative AI Integration: frequently asked questions
Can you integrate ChatGPT into our website or app?
Yes. We integrate OpenAI or other LLMs through their APIs, connect them to your content and add safety and cost controls.
Which generative AI models can you integrate?
OpenAI, Anthropic Claude, Google Gemini, open-source models such as Llama or Mistral, and enterprise versions on Azure or AWS.
How do you keep customer data private?
We use enterprise endpoints that do not train on your data, send only what is needed, mask sensitive fields and keep logs under your control.
How much does it cost to run generative AI features?
Running costs depend on usage and model choice. We estimate them during design and use routing, caching and limits to keep them predictable.
Can the AI hand over to a human?
Yes. Website and support assistants can hand over to staff with the full conversation and context.
How is this different from generative AI development?
Integration adds LLM features to software you already have. Generative AI development builds new generative AI applications.
How long does an integration take?
Many single-workflow integrations go live within a few weeks.
Ready to talk about Generative AI Integration?
Tell us about your goals, data and systems. We will reply with practical next steps, wherever you are in the UK, the US or worldwide.