WorkerKitJoin the waitlistAI workers for Data & Analytics
AI workers for data and analytics teams that refresh report summaries, watch for broken numbers, and chase missing inputs across your connected sheets and boards. Connect Google Sheets, Drive, and Slack, then set the firewall rules for every read.
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What is a Data & Analytics AI worker?
A Data & Analytics AI worker is an AI agent set up to run one analytics job unattended, such as summarizing a dashboard, watching for numbers that broke, or chasing missing report inputs. It typically touches Google Sheets and Drive files, connected CRM records, and Slack channels, and only the sheets, fields, and reports you approve, with the firewall gating each read.
What these workers do
Summarize a weekly metrics sheet
Read a Google Sheets metrics tab, call out the biggest week-over-week moves in plain language, and post the summary to a Slack channel.
Watch for broken numbers
Check a report sheet for blank cells, zeroes, or values far outside the usual range and alert the analyst before a review uses bad data.
Chase missing report inputs
Find rows a report depends on that were not filled in this week and nudge the owner so the refresh is not built on gaps.
Reconcile CRM against a sheet
Compare Salesforce deal totals to a revenue tracker in Google Sheets and flag mismatches for finance and analytics to resolve.
How a Data & Analytics AI worker runs
What a data worker connects to
A data worker connects to the sources your reports are built from. Point it at Google Sheets and Drive for datasets, HubSpot or Salesforce for source records, and Slack for delivering summaries. You approve which sheets and fields it can read, so a metrics worker sees the reporting tab without opening raw customer exports.
When it runs
- On a schedule for a weekly metrics summary or a nightly data-quality check.
- On a trigger when a sheet updates or a report is refreshed.
- On demand when an analyst wants a quick read before a review.
What stays under your control
The firewall keeps data access disciplined. You can keep the worker read-only so it summarizes and checks without editing datasets, limit any writes to a summary tab, and redact sensitive columns before they reach the model. Per-sheet scope keeps it inside the files you name, and the audit trail records every dataset it opened. You can narrow or revoke its access to any source at any time.
Data & Analytics questions, answered.
Can a data AI worker change my datasets?
By default no, a data worker stays read-only, summarizing and quality-checking your Google Sheets without editing a cell. When you want output written, you scope it to a specific summary tab while source data stays locked. The firewall enforces that on every action, and the audit trail records exactly which datasets it read and anything it wrote.
How does it catch broken numbers?
A data worker reads the report sheets you scope in and checks for blank cells, unexpected zeroes, or values far outside the normal range, then alerts your analyst before a review relies on bad data. It runs on a schedule or on a trigger, stays read-only, and each check is logged so you can trace exactly which sheets and cells it examined.
Can it pull from our CRM as a source?
Yes, a data worker can read the HubSpot or Salesforce records you scope in, for example to reconcile deal totals against a revenue tracker. It stays read-only on the CRM, and per-entity scope keeps it to one pipeline or region if you choose. Records outside that scope stay invisible, and every read is recorded in the audit trail.
Will it expose sensitive columns to the model?
Not if you do not want it to. The firewall can redact sensitive columns before any data reaches the model, and DLP scanning flags risky values. You scope the worker to named sheets and fields, so anything you exclude stays invisible. Every read is logged, and you can revoke access to a sheet or tighten its scope at any moment.