WEBINAR REPLAY 

You might already be using AI tools. But right now, those tools are only as good as the data you manually feed them. Exports, copy-pastes, stale spreadsheets. Your AI is guessing, and so are you.

In this launch session, Soraya and Tom show what an MCP is, what you can ask it, and how to build views of workload, capacity and fixed fees from live practice data. Jack Colvin from Counting Clouds shares how his practice uses it, and his tips for doing it safely: start read only, keep a human in the loop and assume nothing until it's tested.

If your firm feels the pressure of the AI transition but hasn't yet found a clear, trusted path to becoming AI-first, start here.

What You'll Learn

What MCP (Model Context Protocol) is, and why it's the missing link between AI tools and live practice data.

How to connect Claude, ChatGPT or any AI assistant to your XBert practice data through a single secure MCP Gateway.

Real practice use cases from Counting Clouds' Jack Colvin.

How to query team work, job progress and capacity, and interrogate practice analytics for pricing, task risks and team capacity.