Your reporting data lives in Microsoft Fabric lakehouses and warehouses, but a question that no Power BI report answers means finding the right workspace and table, then writing SQL against it. Most people wait for an analyst, and the analyst spends the day on one off queries instead of real analysis.

Ask a question in plain language in Claude, ChatGPT or Microsoft Copilot, and PopdockAI queries the Fabric tables and views IT has made available, then answers from the rows it returns. You can narrow by date, status, region or any field the admin has opened up, and sort or limit the results in the same question. The Fabric credentials stay in PopdockAI, never in the AI client, and every call is logged.

Business users get answers from Fabric data in a conversation, and analysts get their time back for real analysis.

When someone needs a slice of Fabric data in a spreadsheet, they either ask the data team for an export or copy rows out of a report by hand. The request sits in a queue, the filters get lost in translation, and the file that arrives is often the wrong period or the wrong set of rows.

Ask Claude, ChatGPT or Microsoft Copilot for the rows you need, such as last quarter for one region, and PopdockAI queries the Fabric table with those filters and returns a real Excel file with a set file name and worksheet. You can ask for CSV instead where that suits. Only the fields and filters the admin has exposed are available, so the extract always comes from the approved table.

You get the exact Fabric extract you asked for as a spreadsheet in minutes, without a ticket to the data team.

Fabric holds the consolidated reporting copy, while your ERP holds the live books. When a report total does not match the ledger, someone exports both sides, lines them up in a spreadsheet and hunts for the missing or late rows, which can take hours every month end.

With your Fabric tables and your ERP lists on the same PopdockAI server, ask Claude, ChatGPT or Microsoft Copilot to compare them for a period, and the AI reads both sources in one conversation and points out the records and totals that differ. Each side is read only, through fixed filters the admin set, so nothing in Fabric or the ERP is changed. Every call is logged with who asked and from which client.

Differences between your Fabric reporting data and the ERP surface in one conversation, so month end closes with fewer surprises.

Teams want to point their AI assistants at Fabric data, but handing out workspace access or connection strings lets anyone query any table. IT has no easy way to keep finance tables away from sales, limit which rows each role sees, or know what was asked afterwards.

IT publishes a PopdockAI MCP server with a tool for each Fabric table or view, chooses which fields are returned, and adds fixed filters the AI cannot remove, such as one region or one business unit. Access is set per user, team and AI client, so a tool can be offered in Claude but not ChatGPT or Microsoft Copilot. Parameters are validated before Fabric is queried, the credentials never leave PopdockAI, and every call is logged.

People use AI on Fabric data while IT controls exactly which tables, fields and rows each team and client can reach.

Every week a manager pulls the same Fabric numbers for the same review, asking the same questions in a slightly different way each time. The results drift from week to week, comparisons break, and a missed filter can put the wrong figure in front of leadership.

The admin saves the review as a prompt on the PopdockAI server, with inputs such as the week or the business unit. Pick it from Claude, ChatGPT or Microsoft Copilot, fill in the inputs, and the AI runs the same Fabric queries in the same order and reports the results in the same shape. The prompt only uses the read only Fabric tools the admin approved.

The weekly review runs the same way every time in one click, so the numbers leadership sees are consistent and comparable.

A sales lead wants revenue by region for this quarter against last, but the Fabric tables hold individual transactions. Getting totals means a new report or a pivot built from a large export, and by the time it is ready the question has moved on.

The admin builds a Popdock summary list over the Fabric table, grouped by month, region, product or rep, and exposes it to the AI. Ask Claude, ChatGPT or Microsoft Copilot for the totals you need, filtered to a period or territory, and PopdockAI returns the grouped figures for the AI to compare and explain. You can ask for the same breakdown as an Excel file to share.

Sales leaders get grouped Fabric totals in a conversation, without waiting for a new report or building a pivot.