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AI Integration Services for the Systems You Already Use
Bring AI into your CRM, ERP, helpdesk, databases and internal tools without replacing them. We connect models and AI services securely and make them part of everyday workflows.
Quick answer
What are AI integration services?
AI integration services connect AI capabilities to the software a business already runs, so predictions, summaries, classifications or agent actions appear inside existing workflows. ML Data House integrates AI models and LLM services with CRMs, ERPs, helpdesks, databases and web apps through secure APIs, middleware and automation tools.
- AI inside your CRM, ERP, helpdesk and apps
- Secure APIs, middleware and event-driven workflows
- Access control, logging and cost limits
- No rip-and-replace of existing systems
What we deliver
What our AI Integration Services service covers
CRM and sales
Lead scoring, email drafting and call summaries in Salesforce, HubSpot or Dynamics.
ERP and finance
Invoice reading, reconciliation suggestions and forecasting in your ERP.
Helpdesk and support
Ticket triage, suggested replies and knowledge answers in Zendesk, Freshdesk or Intercom.
APIs and middleware
Robust services that call AI models with retries, caching and logging.
Workflow automation
n8n, Zapier, Make.com and Power Automate flows with AI steps.
Security and control
Data masking, role-based access, audit logs and usage limits.
How it works
Our AI Integration Services process
Short, visible steps with a demo or decision at the end of each one.
Design
Choose models, APIs and security controls.
Integrate
Build, test and roll out connectors and workflows.
Monitor
Track quality, usage and cost; refine.
Deliverables
What you get
- Integration architecture and data-flow map
- Production connectors and APIs
- AI-enabled workflows in your tools
- Logging, monitoring and cost controls
- Documentation and support plan
Best fit
This is right for you if…
- You want AI without changing core systems
- Teams copy data between AI tools and business apps
- You need AI features in a legacy application
- IT needs control over AI data flows
UK & US
AI Integration Services 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 clients we map where personal data travels, choose UK/EU-hosted AI services where needed and record it for UK GDPR.
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 clients we can keep data in US regions and support HIPAA business-associate arrangements with AI vendors where needed.
Tools, models & frameworks
REST & GraphQL APIsSalesforceHubSpotMicrosoft DynamicsZendeskn8nZapierPower AutomateAzure OpenAIAWS BedrockNode.jsPython
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FAQ
AI Integration Services: frequently asked questions
Can AI be added to our existing software?
Usually yes. Most modern systems have APIs, and older ones can be connected through databases, files or automation tools.
Which systems can you integrate AI with?
CRMs, ERPs, helpdesks, document systems, data warehouses, e-commerce platforms and custom web apps.
Do we need to move our data to integrate AI?
No. We connect to data where it lives and only pass the minimum needed to the AI model, with your approval.
How do you keep AI integrations secure?
With role-based access, data masking, encryption, audit logs, approved vendors and limits on usage and cost.
What is the difference between AI integration and generative AI integration?
AI integration covers any AI capability, including predictive models. Generative AI integration focuses on LLM features such as drafting, summarising and chat.
How long does an AI integration take?
A single workflow can take a few weeks; larger multi-system integrations are delivered in phases.
Can you support integrations after launch?
Yes. We monitor, update for API changes and improve prompts or models as needs change.
Ready to talk about AI Integration Services?
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.