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AI/ML Integration Services

AI/ML Integration Services by Prominent AI Services LLP

What Are AI and ML Integration Services?

AI and ML integration services connect AI models and platforms, from large language models to custom predictive models, to the systems you already run, such as your CRM, ERP, website, help desk and cloud, so AI becomes part of everyday work rather than a separate tool.

You do not need to replace your systems to benefit from AI. Our AI/ML integration services embed intelligence into the CRM, ERP, websites and line-of-business applications your teams already rely on, adding automation, prediction and conversational experiences with minimal disruption.

We connect proven AI services from Azure, AWS, Google and OpenAI, as well as custom models, through secure APIs and workflow automation. Integrations are designed for reliability, governance and measurable impact on productivity and customer experience.

We map the target process, identify where AI adds the most value, prototype the integration in a safe environment and roll out gradually with user training, monitoring and feedback loops.

Business problems AI integration solves

  • AI tools sit outside daily workflows. People will not switch between systems. Integration puts AI inside the tools they already use.
  • Data is scattered. Integrations give AI secure access to the right data in CRM, ERP, documents and databases.
  • Manual hand-offs slow processes. AI-powered workflows read, decide and update systems automatically, with human review where needed.
  • Uncontrolled AI use creates risk. Managed integrations apply access control, logging and data-protection rules.

Our AI and ML integration services

Platforms and technologies we work with

We integrate with Microsoft 365, Dynamics 365, SAP, Salesforce, HubSpot, ServiceNow, Zendesk, WordPress and Shopify, as well as custom applications. AI services include Azure OpenAI, Amazon Bedrock, Google Vertex AI and open-source models. Integrations are built with ASP.NET Core, Node.js and Python, and automation uses Power Platform where it fits. See also data and API integration.

How we deliver AI integration projects

  1. Assessment: we review your systems, data and the tasks where AI can help most.
  2. Design: we agree the integration architecture, security model and success measures.
  3. Build: connectors, AI components and user-facing features are developed and tested.
  4. Pilot: a group of users tries the integration on real work and gives feedback.
  5. Roll-out and support: wider launch, training, monitoring and continuous improvement.

How you can work with us

Choose a fixed-scope integration, a dedicated team, or hire AI developers and OpenAI developers to work inside your team. If you need new models built first, see AI and ML development services.

Why choose Prominent AI for AI integration

  • Experience integrating with Microsoft, Salesforce, SAP and custom systems.
  • Security and governance designed in.
  • Practical pilots that prove value with real users.
  • Model-neutral recommendations.

Want AI inside the systems you already use? Tell us which systems and tasks matter most, and we will suggest where to start. Start your AI journey.

Last updated: October 2026 · Prominent AI Services LLP engineering team

Intelligent AI solutions by Prominent AI Services
AI solutions built to integrate with business systems

Frequently Asked Questions

Answers to common questions about our AI/ML Integration Services.

Can AI integrate with our existing CRM or ERP?

Yes. We integrate with Salesforce, Dynamics 365, SAP, Zoho, HubSpot and custom systems through APIs, connectors and middleware.

We follow enterprise security practices including role-based access, encryption, private endpoints and data masking, and can keep processing within your cloud tenant.

Many integrations, such as chatbots or document automation, can deliver a working pilot within weeks.

Integrating one AI feature into one system is a small, fixed-price project. Costs increase with the number of systems, users and security requirements. We also estimate ongoing AI usage costs before you commit.

A single integration often takes a few weeks. Enterprise programmes are delivered in phases, with the first use case in production in around three months.

No. Integrations are built and tested in a separate environment and connect through supported APIs, so your core systems keep working as they do today.

Start with a frequent, time-consuming task with clear success measures, such as support answers, document processing or report drafting. We help you score and choose the best first use case.

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