Give your business users and AI agents
access to modeled, contextualized data – via your LLM.
Stop asking the data team. Start asking the data.
Give your business users and AI agents access to modeled, contextualized data – via your LLM.
Stop asking the data team. Start asking the data.
Through the MCP, your AI reads both – numbers and context – and feeds them straight into the agenda of your weekly session. And the session's outcomes feed back into your body of knowledge, tracked against the numbers, week over week: what did we say we'd do and did we do it?
And the actions that come back every week – change the schedule, adjust the order? Those aren't conversations anymore. That's an agent, not a generic one, but one you build on your own context.
A question we get a lot: will conversations replace dashboards? For monitoring the daily numbers, probably not. For exploring what's behind them, they already are. But here's the thing: you don't have to choose. However your way of working evolves – more dashboards, more conversation, or a mix of your own – we've got you.
Connect our MCP and every team, technical or not, asks the governed truth anything, through the LLM you already use.
And governed means exactly that: the MCP runs on the same data foundation as your dashboards and BI Workspace – same question, same truth, every interface.
Stop asking the data team. Start asking the data.
Dashboards answer the questions every group has. The BI Workspace answers the questions only you have. The MCP is for the questions you haven't been able to ask yet. Sometimes because the answer was scattered across dashboards, PDFs and emails. Sometimes because asking meant a SQL query, and SQL isn't your job. Either way: now you can ask.
The numbers we deliver hold the what: sales are dipping, labor costs are spiking.
In large part, they also hold the why. Sales are impacted by the number of guests and the average spend per guest. Labor by the number of hours and the hourly wage.
But why isn't front-of-house hitting its upsell targets, despite having the hours? Why are guest numbers declining? That answer isn't in a table. It's lying around – in shift notes and mystery visit reports.
Through the MCP, your AI reads both – numbers and context – and feeds them straight into the agenda of your weekly session. And the session's outcomes feed back into your body of knowledge, tracked against the numbers, week over week: what did we say we'd do and did we do it? And the actions that come back every week – change the schedule, adjust the order? Those aren't conversations anymore. That's an agent, not a generic one, but one you build on your own context.
A question we get a lot: will conversations replace dashboards? For monitoring the daily numbers, probably not. For exploring what's behind them, they already are. But here's the thing: you don't have to choose. However your way of working evolves – more dashboards, more conversation, or a mix of your own – we've got you.
Connect our MCP and every team, technical or not, asks the governed truth anything, through the LLM you already use.
And governed means exactly that: the MCP runs on the same data foundation as your dashboards and BI Workspace – same question, same truth, every interface.
Stop asking the data team. Start asking the data.
Dashboards answer the questions every group has. The BI Workspace answers the questions only you have. The MCP is for the questions you haven't been able to ask yet. Sometimes because the answer was scattered across dashboards, PDFs and emails. Sometimes because asking meant a SQL query, and SQL isn't your job. Either way: now you can ask.
The numbers we deliver hold the what: sales are dipping, labor costs are spiking.
In large part, they also hold the why. Sales are impacted by the number of guests and the average spend per guest. Labor by the number of hours and the hourly wage.
But why isn't front-of-house hitting its upsell targets, despite having the hours? Why are guest numbers declining? That answer isn't in a table. It's lying around – in shift notes and mystery visit reports.
Work with us
Work with us