Cloud-native data and investment management platform, FINBOURNE Technology has integrated with AI safety and research company Anthropic in a push to bring AI agent offerings to financial operations.
Tom McHugh
The partnership leverages Anthropic’s AI assistant Claude, and combines its Model Context Protocol (MCP) with FINBOURNE’s APIs to securely allow AI agents to access live investment data, automate workflows and take real-time action across complex financial situations.
The firms have said that the integration will address challenges posed by traditional AI architectures, such as stale data, rigid integrations and poor scalability, and enable for real-world AI adoption.
“MCP is driving a groundbreaking shift in how large language models interact with enterprise tools,” said Tom McHugh, FINBOURNE chief executive and co-founder.
“This transformation unlocks enormous potential for secure human-AI collaboration – where agentic AI respects and operates within your existing controls, just like a trusted member of your team.”
Claude’s MCP was launched in November 2024, with the aim of providing a solution to connect AI systems to enterprise tools and data, to ultimately help frontier models produce stronger responses.
Sid Dash, chief researcher at Chartis said: “Its [FINBOURNE’s] innovative platform brings trustworthy, agentic AI into real-world financial operations – with the governance, interoperability, and data integrity that regulated environments demand.”
The integration follows a growth in agentic AI developments in the industry in recent months. In May 2025, Broadridge Financial Solutions enhanced its OpsGPT interface by incorporating AI agents to support operations teams in converting data into actionable insights and covers fails research, inventory optimisation and email integration automation.