Businesses are increasingly moving beyond basic chatbots and embracing tools that deliver deeper insight. In recent months, we have seen a major shift in how our clients use AI in business operations, particularly through MCP servers for business data analysis. These systems enable companies to connect AI directly to their internal data in a more meaningful, secure, and structured way.
Model Context Protocol (MCP) servers enable third-party applications and internal databases to work seamlessly with AI chat interfaces. This allows users to run advanced queries, retrieve accurate information, and analyse their data far more efficiently than traditional chatbot interactions.
If you’d like an introduction to what an MCP server is, click here.
Beyond helping clients implement MCP servers, we also build custom MCP solutions tailored to their internal systems. These expose business data securely and selectively, enabling AI to analyse sensitive information while maintaining strict access controls.
Click here to read a case study on how we did this.
More recently, clients have been exploring how to unlock even greater value from their MCP setup. Working collaboratively, we’ve developed privately hosted, custom-branded AI chat platforms that emulate a chatbot experience but offer full control over tools, data sources, and user permissions. This gives companies a secure environment where different teams can access only the information they’re authorised to see.
Through these solutions, our clients are gaining meaningful insights from their internal data; spotting trends, identifying anomalies, and supporting better decision-making across the business. Ultimately, they’re able to make faster, smarter, and more informed decisions through reliable, AI-driven analysis powered by their own private MCP servers.
As these platforms mature, we’re also seeing a shift in how teams collaborate around data. Instead of relying solely on analysts or technical staff, employees across departments. Operations, finance, customer service, and leadership can now interact directly with their AI platform to surface the information they need. This democratisation of data means insights aren’t trapped in spreadsheets or specialist tools; they’re accessible through natural conversation. The result is a more informed organisation where decisions are driven by real, up-to-date information rather than assumptions or delayed reporting.