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.
Integration services that bring AI into the tools and processes you use every day.
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.
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.
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.
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
Answers to common questions about our AI/ML Integration Services.
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.