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Questions we answer

The ones everyone asks about AI.

A COMPLIANCE OFFICER
"Can we trust an AI answer in front of a client?"
Transparency by design: every answer shows its source, its period and its method - computed on the documented xyt record, not guessed by a model.
A DESK HEAD
"Does it work in the tools we already use?"
Yes - XYT Connectors bring the same answers into Claude, ChatGPT and Copilot via MCP, so nobody has to change how they work.
A SECURITY TEAM
"What about our data?"
Secure - your data stays yours. Answers respect each user's access rights, and nothing you ask trains anyone else's model.

Two ways in

In the platform, or in your tools.

In the platform

XYT Chat

Ask alongside the dashboards: plain English in, a computed answer out, with the underlying view one click away. The same trusted record, the same methodology - conversation instead of configuration.
IN EVERY WORKSPACE SOURCE & PERIOD SHOWN

In your tools

XYT Connectors

An MCP connection that brings xyt answers into Claude, ChatGPT and Copilot - so market questions get trusted numbers inside the assistant your team already opens every morning.
CLAUDE CHAT GPT COPILOT MCP

Why you can rely on it

Transparency by design.

Computed, not guessed

Answers are calculations on the reconciled xyt record - the model orchestrates, the data decides.

Source and period, always

Every answer carries what it was computed on and for which period - ready to be checked, quoted and defended.

Grounded in the taxonomy

The same documented trade classification the whole platform uses - so the chat, the dashboard and the dataset never disagree.
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What would you like to understand?

Your venues, your mandates, your committee format - walked through with the team that built the methodology.