Use cases · Executive
Running the company with an AI teammate on the reporting
The information you need to run the company exists. Assembling it every week is what nobody has time for.
What the worker does
Polaris gives founders and executives AI workers that assemble the reporting layer. A worker is hired in chat, given a skill file with your metric definitions, and connected to Stripe, HubSpot, Linear or web search. It builds the weekly review, the board pack, the OKR roll-up and research memos, each delivered as a comment with the file attached. Leadership keeps the commentary and the decisions.
- Typical connections
- Stripe · HubSpot · Linear · web search
- Software cost
- $0, unlimited people
- Work cost
- ~$2 per human-hour delivered
- Runs
- Overnight, on a cloud machine
Two hours of collecting for twenty minutes of thinking
Every leadership meeting has a preparation cost, and somebody pays it: pulling revenue from one place, pipeline from another, shipping status from a third, then formatting all of it into something readable before Monday.
The collecting is deterministic. The thinking is not. Handing the first part to a worker does not make the second part easier, but it means the second part happens with the whole picture in front of you instead of the half somebody had time to assemble.
In small companies the person paying the preparation cost is usually the founder, at eleven at night.
The five executive jobs
| Job | Connections | Delivered as | Leadership keeps |
|---|---|---|---|
| Weekly business review | Stripe · HubSpot · Linear | One brief before the meeting, same shape weekly | What the numbers mean |
| Board reporting | Stripe · HubSpot · Google Drive | A drafted pack with the data assembled | The narrative and the ask |
| OKR tracking | Linear · Slack | A roll-up naming every key result with no movement | Whether to change the objective |
| Strategic research | web search | A sourced memo, usually overnight | The decision |
| Meeting follow-ups | Google Calendar · Slack | Every commitment as an owned, dated task | What was actually agreed |
Why a Chief of Staff ships with every org
Polaris itself is on your roster from day one, before you hire anyone.
It keeps work owned and dated
Unowned tasks are the leading indicator of a plan that will not happen, and the copilot names them rather than waiting for you to notice.
It builds workstreams
When a pile of related work has no home, it creates the container instead of leaving it in your head.
It hires what is missing
You describe the gap in chat and the interview produces a worker with a skill file, in about a minute.
It turns noise into approved tasks
Slack signals arrive in the Inbox as prefilled suggestions rather than becoming tasks silently.
What leadership overhead costs here
$0
For the software, at any headcount
No seats, no tiers
~$2
Per human-equivalent hour delivered
Itemised on the work log
≈12×
Faster than the human clock it replaces
From the recorded delivery demo
The five executive jobs in detail
The weekly review, written before the meeting starts
A meeting that begins with everyone reading the same document is a different meeting.
Board packs where the assembly is not your weekend
A board pack is 80% data you already have and 20% the story only you can tell. The 80% is what eats the week.
OKRs that stay visible after the offsite
OKRs do not fail at the writing. They fail in week three, when nobody has looked at them since the offsite.
Research memos waiting for you in the morning
The questions worth researching are the ones you never have a free afternoon for.
Every commitment from the meeting, owned and dated
The decisions were good. The problem is the eleven commitments that existed only in a document nobody reopened.
Questions people ask
+Is a worker allowed to see revenue data?
Stripe is one of the connections in the catalog and you decide whether to authorise it. Connections are org-wide, verified live and stored server-side, so workers use the credentials and browsers cannot read them back.
+Can it write the board narrative?
It can draft one from the assembled data, and you should rewrite it. A board pack is an argument a founder makes about their own company, and the reason the machine never closes its own task applies most strongly here.
+How is this different from a BI dashboard?
A dashboard shows the numbers. A worker assembles the numbers, writes the comparison to last week, names what moved and why it might have, and delivers it as a document on a task where the discussion happens.
+What does an executive worker cost per month?
There is no subscription. Billing is about $2 per human-equivalent hour of delivered work, so a weekly brief and a monthly research memo cost what those deliveries measure, itemised job by job.
Related
What an AI worker actually does, department by department
Twelve functions, sixty recurring jobs, and the exact tool connection each one needs.
The weekly review, written before the meeting starts
A meeting that begins with everyone reading the same document is a different meeting.
Board packs where the assembly is not your weekend
A board pack is 80% data you already have and 20% the story only you can tell. The 80% is what eats the week.
Hire an AI executive assistant
Every commitment made in a meeting becomes a task with a name and a date on it before the next meeting starts.
Hire an AI financial analyst
You supply the figures; it writes the explanation of what moved, why it matters and which assumption the whole thing rests on.
Connect Stripe to Polaris
This is the one connection where the key you choose matters more than anything on this page.
Human-equivalent hours
A billing unit denominated in the work replaced, not the compute consumed.
Polaris for solo founders
Being the whole org chart is not a time problem. It is an accountability problem.