AI strategy
Define where AI can create meaningful value, which opportunities deserve priority and resources, and how product, technology, governance and organisational priorities should fit together.
AI strategy · Products · Infrastructure · MCP
Tony helps boards and leadership teams turn AI from an abstract priority into an operating strategy, with particular expertise in AI products, agentic systems and MCP.
Advisory
Focused, independent advice for organisations deciding how AI should shape their products, infrastructure, operating model and priorities.
Define where AI can create meaningful value, which opportunities deserve priority and resources, and how product, technology, governance and organisational priorities should fit together.
Determine where Model Context Protocol can create value across internal AI systems and external products, then shape the architecture, security model and implementation approach.
Review AI products and agentic systems across product logic, model and data choices, dependencies, integrations, security, scalability and commercial viability.
Assess current technology, data, talent, governance and delivery capability, identifying the practical gaps between AI ambition and the organisation's ability to execute.
Focused sessions that give boards and leadership teams a shared understanding of the opportunity, clarify key decisions and establish an actionable set of priorities.
Independent counsel for CEOs, CTOs, product leaders and boards as AI strategy, products, infrastructure and operating priorities develop.
Tony has spent two decades building technology companies, investing, advising on complex decisions and working directly with leadership teams. That breadth allows him to connect board priorities with product strategy, architecture and execution.
Selected experience
A career spanning company building, AI product architecture, MCP infrastructure, board advisory, investing and complex transactions.
Conceived and built MCPBundles, cataloguing more than 1,570 MCP servers and 10,700 tools. Engineered the platform, hosted integrations, code execution, dynamic discovery and security architecture.
Through his role at Mercuri, Tony sources and screens early stage technology investments, leads specialist technical and architectural diligence, and advises portfolio leadership teams on AI, product and scaling.
Built a regulated B2B software platform to 60% market share, 10,000 monthly enterprise users and a high eight figure valuation, raising more than $20 million.
Originated, structured and monitored more than $500 million in investments and advised on more than $5 billion of M&A and leveraged buyout transactions.
A useful outsider
The aim is not to produce another AI roadmap that sits in a deck. It is to give decision makers a rigorous view of what matters, how the pieces fit together and what the organisation should do next.
Technology assessed in the context of markets, customers, economics and execution.
Architecture examined directly, including agentic systems, MCP, dependencies, data, models, security and scale.
Strategy translated into clear priorities, ownership, capabilities, sequencing and governance.
Start a conversation
For AI strategy, MCP, product architecture, executive workshops and ongoing leadership advice.
Contact Tony