Enterprise AI integration embeds AI into core business systems such as ERP, CRM, HR and document management, with the security, governance and scale a large organisation needs, so predictions and AI assistance appear inside the workflows people already use.
Enterprise applications hold your most valuable processes and data. We add AI capabilities directly into CRM, ERP and document management systems, from lead scoring and demand forecasting to intelligent search and automated document handling.
Upgrade your CRM, ERP, or business apps with AI-powered features. At Prominent AI Services LLP, we deliver enterprise AI integration end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.
Upgrade your CRM, ERP, or business apps with AI-powered features.
Ideal for: Finance, Retail, Manufacturing. 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 Dynamics 365, SAP, Salesforce, ServiceNow, SharePoint and Microsoft 365, and with custom line-of-business applications through APIs and event streams. On the AI side we use Azure OpenAI, Azure AI Search, Amazon Bedrock and custom models. Data moves through governed pipelines (see data engineering), applications are built on ASP.NET Core, Python or Node.js, and identity uses your existing single sign-on.
Large programmes are delivered by a dedicated team that works with your architects and security staff. You can also hire AI developers or .NET Core developers to strengthen your in-house team. For lighter integrations, see generative AI integration and cloud AI integration.
Ready to move AI beyond pilots? Tell us about your systems and priorities, and we will propose a roadmap. Start your AI journey.
Common questions about our Enterprise AI Integration services.
Yes. We build AI extensions for Dynamics 365, SAP, Salesforce and other enterprise platforms using their supported extension frameworks.
Yes. Semantic and vector search let employees find information by meaning rather than exact keywords, across SharePoint, file shares and databases.
Usually not. AI features appear inside the screens users already know, which speeds adoption.
Enterprise programmes are usually scoped in phases. The first phase covers the integration platform and one production use case at a fixed price; later use cases cost less because they reuse that platform.
The first production use case typically takes three to four months, including security and compliance reviews. Further use cases on the same platform usually take weeks rather than months.
Data stays in your cloud tenant, access follows your existing permissions and single sign-on, traffic uses private networking, and every AI request is logged. We use enterprise model agreements that exclude your data from training.
Yes. Enterprise search and assistants check each user’s permissions before retrieving content, so people only get answers from documents they are already allowed to open.
