You open Slack. Three things have already happened. Your stockout Handler flagged two SKUs overnight and paused the ads burning money on them. Your reporting Handler dropped the weekly trade summary into #ops — formatted, linked, ready to forward. Your sample Handler noticed a replenishment threshold and raised a PO draft for review.
None of this required you to prompt anything. You briefed these Handlers once. They learned the job. They show up every day.
The team treats them like junior staff: hand them work in Slack, get it back done. When something's ambiguous, the Handler asks a clarifying question before acting. When something's outside its scope, it escalates.
Day-to-day
You don't configure Handlers in a dashboard. You brief them the way you'd brief a new hire — in Slack, in plain language, with the context they need.
"Hey, every Monday morning pull last week's trade orders from Shopify, cross-reference against Cin7 stock levels, and flag anything we can't fulfil. Drop the list in #ops."
That's it. The Handler confirms what it understood, asks if anything is unclear, and starts. Next Monday, the list is there.
Using Handle 6 months in
Every card below is a Handler doing a job that used to be someone's Thursday afternoon. Pick a card to see the before, what they own, and how they're set up.
Answers the trade floor's stock and pricing questions, drafts quotes, and watches reorder levels — the desk the Trade and Supply Chain teams turn to before they interrupt each other.
Stock and pricing answers on the spot — not a colleague interrupted
The Trade and Supply Chain teams used to break each other's focus for every lookup. Now they ask Trey.
Runs content traffic across five brands — takes the brief, assigns the work by capacity, and chases every deadline — the job the team had scoped a full-time coordinator to do.
A full-time coordinator, not hired
The team scoped a traffic coordinator to take it off the content lead. They hired Connie instead — eight weeks in, no going back.
Tells the warehouse floor where stock lives and updates the books when it moves — the pick-bay replenishment the team used to queue for a team lead to handle.
13 interruptions a day, off the team leads
Replenishing a pick bay used to mean grabbing a team lead to read a long sheet. Now the floor asks Sammy — around 13 times a day, almost no errors.
Holds the whole house's brand and product knowledge and answers the team's questions on the spot — so customer ops isn't hunting across brands for a spec or a fit.
Product answers in seconds — not a hunt across brands
Customer ops used to chase specs and fit across multiple brands. Hubert just knows.
Drops the store's inventory, product and sales numbers into Slack on cadence — weekly and monthly metrics waiting for the managers, not compiled by one.
The managers' reporting hours, back
Weekly and monthly store metrics used to be someone's manual compile. Now they're in the managers' channel before anyone asks.
Watches one store's inventory and revives the deals stuck on it — back-in-stock alerts with full order and customer detail, and the Pipedrive follow-ups that used to never happen.
Restock follow-ups that never happened by hand — now routine
Stock returning used to be a missed signal. Tyler turns it into a back-in-stock alert and a Pipedrive follow-up on the affected deal.
Frank watches every open spare-parts PO against supplier SLAs and flags a breach before it becomes a shortage — so machines get repaired, not written off.
Machines repaired, not replaced
When a part can't be sourced in time, the whole machine gets swapped on out-of-warranty repairs. Frank catches the shortage while there's still time to order.
Casey triages the support inbox and drafts replies to the routine tickets for a coordinator to review and send — so a small team spends its day on customers, not allocation.
The pre-7am sort, gone
The team came in before 7 to allocate tickets by hand across thousands a week. Casey has the queue triaged before they arrive.
Newi owns the administrative spine of every new-product launch — the SKU records, the project instances, the stakeholder chasing — so the product manager stops being the bottleneck.
The launch keying, gone
Dozens of launches a month, around 45 minutes of SKU entry each — plus chasing several teams for every one. Newi owns the lot.
Sage is the first stop for every product question from sales and service — answers what the docs cover, escalates what they don't, and tracks every open factory question to the end.
Half the product manager's day, back
Dozens of product questions a day from the sales floor landed on one person, eating half his time. Sage takes first contact.
Owns daily stock ordering across all 16 stores — the forecasting Stocky does today, with a purchase-order suggestion for every store waiting before you open.
40–60 daily reports, gone
The per-store, per-SKU forecasting that ran by hand off Stocky — now suggestions are ready before 8am, no report runs.
Turns supplier invoices into Shopify POs and Xero bills the moment they land — so month-end stops being a scramble.
Month-end keying, gone
Invoices that were typed into Xero and POS by hand — now they reconcile against supplier statements with nothing left to key in.
Owns the product-data pipeline end to end — source format to live marketplace listing on every channel, the whole catalogue.
60-SKU peaks, absorbed
0.5–3 days per SKU by hand left the team blocked at peak — now the seasonal refreshes are absorbed without anyone going heads-down.
Frees the company's data from a single license-holder — reports run themselves and ad-hoc questions get answered, no analyst in the middle.
The report-runner's day, back
One license-holder generated and hand-distributed every report; now they run themselves and anyone can ask.
Audits every product page across the catalogue overnight — broken pages, missing alt text, the gaps no human could check at that scale.
30,000 pages a night
A check that was never economical to do by hand.
Owns the inbound delivery timetable — keeps a live schedule of what's arriving and when, and reslots it the moment a driver or supplier calls a change.
A daily job — off one person, out of the spreadsheet
Supplier deliveries were booked by hand over email and phone and tracked in one person's Google Sheet — now they sit on a live timetable the whole warehouse can see.
Why this is different
The AI most companies have today is one or two people with good prompts. It saves those people time. It doesn't change how the business runs.
AI labour is different. It's part of how the company operates, not how individuals operate. The whole team can see it, brief it, hand work to it, hold it accountable.
AI Tools
Faster individuals
AI Labour
A named role ✦
What it is
A subscription each person uses on their own work.
A persistent role anyone in the company can hand work to.
Who sees it
One person at a time. Lives in their tabs.
The whole team. Lives in Slack, in the workflow.
When it's on leave
When that person is on leave.
It doesn't go on leave.
What changes
How individuals operate.
How the company operates.
First Hire gets you from "I get it" to Handlers running real work in 60 days.