AI workers for Operations

AI workers for operations teams that reconcile trackers, chase missing updates, and keep your boards clean without a person babysitting spreadsheets. Connect Monday.com, Google Sheets, and Slack, then set the firewall rules for what the worker may change.

Meeting Action Item Collector Language model Reads your meeting notes each evening and files every action item into your task board.
Company Knowledge Concierge Language model Answers questions from your Drive, SharePoint, and Slack history, with citations to the source.
Daily GitHub Repo Briefing Language model Reads the last 24 hours of GitHub activity and reports what actually changed: what shipped, what is blocked, what is at risk, and who needs a decision today.
Best Seller Reorder Alert Language model Ranks your best-selling Shopify variants each morning and warns you which will sell out before a reorder lands, with the number of units to order.
Sales Anomaly Alert Language model Watches your Shopify store's daily sales, orders and average order value, and alerts you only when one of them moves enough to matter.
Appointment Reminder Texter Language model Texts your clients a day-before reminder for their appointments, cutting no-shows dramatically.
Daily Store Briefing Language model Reads your Shopify store every morning and writes one short briefing: yesterday's sales against the day before, the orders that need a person, and what is running out of stock.
Weekly Ops Reporter Language model Compiles a weekly status report from your task boards, chat, and GitHub: shipped, moving, blocked.
Stuck Orders Watch Language model Finds the Shopify orders that are stuck (not shipped, not paid, high risk, or waiting on a return) and lists what a person has to do about them.
Low Stock Alerts Language model Watches stock on every Shopify variant at every location and alerts you the morning something runs out, drops below the level you set, or will sell out before a restock lands.
Promise Keeper Language model Finds commitments you made in email and chat, flags overdue ones, and leaves status-update drafts for review.
Slack Team Update Brief Language model Turn relevant Slack activity into a focused team update on progress, blockers, risks, dependencies, changes, and attention needed.
Review Sweep Language model Finds Drive docs awaiting your review and related email asks, then leaves holding or review-complete drafts.
Loop Closer Language model Finds open promises and stale threads across email, calendar, and chat, then leaves draft replies for you to approve.
Internal Request Router Decision model Labels incoming requests for IT, HR or Finance and escalates requests needing private handling.
Critical Email Finder Decision model Reads a window of inbox mail and returns only the messages where something breaks, money is lost, a person is blocked or a deadline passes if the owner does not see them today.
Regulatory Pulse Language model Tracks SEC and industry rule drops for your beat, scrapes primary texts when needed, and hands Grok Bot a sourced compliance pulse.
Decision Queue Language model Ranks Slack or Teams threads where you are the blocker and boosts anything before a same-day meeting.
Hiring Signal Monitor Language model Watches competitor and peer hiring signals — career pages, job posts, and "we're hiring" news — and briefs Grok Bot on what roles are heating up.
Post-Meeting Closer Language model Reads today's meeting notes, extracts owners and asks, then leaves follow-up email drafts — never posts or books.
Cross-Team Dependency Review Language model Explains which project dependencies need a named owner or decision.
Leadership Decision Evidence Language model Extracts recorded decisions, open choices and conflicting commitments from a working channel.
Company Operating Review Workflow Language model Combines project dependencies and leadership decisions into a short operating review.
Return Order Evidence Review Language model Explains the recorded order and financial states needed to review a return request.
Return Support Case Review Language model Summarizes a return-related support case and the customer outcome being requested.
Return Resolution Review Workflow Language model Combines order state and support evidence into a return-resolution recommendation and reply draft.

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What is a Operations AI worker?

An Operations AI worker is an AI agent set up to run one operations job unattended, such as reconciling a tracker, chasing missing status updates, or keeping a project board tidy. It typically touches Monday.com or Asana boards, Google Sheets and Drive files, Notion pages, and Slack channels, and only the boards, columns, and fields you approve.

What these workers do

Reconcile a status tracker

Compare a Google Sheet against Monday.com items each night and flag rows where the status or owner no longer matches, posting the diffs to Slack.

Chase missing weekly updates

Find Asana tasks with no update since Monday and message each owner directly, so the ops lead is not the one nagging every week.

Keep the board free of duplicates

Scan a Monday.com board for duplicate or orphaned items and list them in a Notion page for a human to merge or archive.

Roll up a vendor spreadsheet

Read a supplier list in Google Sheets, total spend by category, and write a clean summary tab without altering the source rows.

How a Operations AI worker runs

What an operations worker connects to

An operations worker sits across the trackers your team relies on. Connect Monday.com or Asana for boards, Google Sheets and Drive for spreadsheets and files, Notion for process docs, and Slack for nudges. You approve which boards, sheets, and columns it can touch, so a worker that reconciles vendors never edits your headcount plan.

When it runs

On a schedule for a nightly reconciliation or a Monday morning cleanup.
On a trigger when a board item changes owner or status.
On demand when someone needs a quick roll-up before a review.

What stays under your control

The firewall decides what the worker may read and change. You can keep source spreadsheets read-only while letting it write to a summary tab, redact sensitive columns, and cap how often it posts to Slack. Per-board scope keeps it inside the projects you name, the audit trail records every edit, and you can revoke access to any board or sheet at any moment.

Operations questions, answered.

Can an ops AI worker edit my Monday.com board?

Yes, if you grant write access an ops worker can update items on a Monday.com board, but only the boards and columns you approve. Many teams keep source data read-only and let the worker write only to a status or summary column. Every edit passes the firewall and is recorded, and you can revoke board access whenever you like.

Will it change my source spreadsheet by accident?

No, an ops worker can be kept read-only on any Google Sheet so it reads and totals data without editing a single cell. When you do want output written back, you scope it to a specific tab or file. The firewall enforces those limits on every action, and the audit trail shows exactly what was read or changed.

How does it chase people without spamming?

An ops worker sends targeted nudges only to the owners of items that actually need an update, and rate limits cap how many messages it posts. You choose whether it uses Slack or email, block anyone who should not be contacted, and the worker follows those rules on every run so reminders stay useful rather than noisy.

Can it work across several boards at once?

Yes, an ops worker can span multiple Monday.com or Asana boards, but only the ones you scope into its access. Boards you leave out stay invisible to it. You can add or remove boards as projects start and finish, and the firewall applies your read and write rules consistently across every board it is allowed to see.