For private equity
The scan in diligence and the first hundred days
A target's payroll is a list of roles. The scan turns that list into the paid hours and cost of AI now and at the end of each year to 2030, role by role, with the tasks behind the hours. Every figure is an estimate with a stated method and range. Here is what it gives at three points in a deal.
1. Before the data room: a typical company
Pick the target's industry and size and the scan runs a typical company from the staffing BLS counts in that industry. No roster is needed. It is a first read of what the workforce is made of and how much of its paid time is within reach, before anyone has sent a file. The same menu also opens the whole industry nationwide, every occupation BLS publishes for it with task data at its national headcount, as a baseline for the sector.
Find the industry (352 sectors, subsectors and groups; each page has a typical company to open in the scan)
Three worked examples
The same Excel workbook and slide deck a full report gives, for three typical companies that do not exist. Each workbook has a Where to start sheet.
An equipment and supplies distributor
250 people, in an industry at 43% within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) and 53% by the end of 2028
A plastics products manufacturer
400 people, in an industry at 23% within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) and 27% by the end of 2028
An insurance agency or brokerage
120 people, in an industry at 54% within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) and 63% by the end of 2028
2. With the roster: the full report
Paste the titles and headcounts from the data room, with pay if you have it. The matching happens in your browser and the list never leaves it. The preview is free: the totals, the chart and the top three roles. The full report is $249 for one company: every role at every date on every pace, the tasks behind the hours, where to start, the Excel workbook and the slide deck, and 30 days of re-runs as the roster firms up. Pro, at $299 a month or $2,990 a year, covers as many companies as you look at.
The scan also sets the target's roles beside the public companies the Workforce AI Index has read from their annual reports: all of them, those whose largest staffing pattern is in the same sector, or the same pattern, on the company pages' basis. The report carries it as a sheet and a slide for the memo. The companies' figures come from their filings and BLS staffing, never from their rosters.
3. In the hundred-day plan: where to start
The report's Where to start list is the document work within reach today that needs no license and is not severe if it goes wrong, largest first. It comes from the roles reviewed task by task so far: 402 of 923 occupations, holding 93% of the jobs BLS counts, as of November 10, 2026. That is work an operating team can try with a model in the first weeks without touching the systems of record. The report also splits each role's hours between documents, which can be handed to a model and handed back, and business systems, which would take a connection to the company's own software.
What the numbers are, and what they are not
Within reach means a model could finish work of that length at the chosen reliability. It is not a forecast of jobs lost or of savings. The estimates rest on METR's measured task horizons, O*NET's task statements and BLS pay and employment, and the method page gives the sources and the ranges. The scan answers where AI changes the work. What a company does with that is its operators' call.
A full report on a target, as a demo
If you are looking at a company now and want to see the full report on it before buying, write to info@stratussc.com with the industry and the headcount. We can open a full report for a few days.
Who is behind this
Stratus Supply Chain LLC, the supply chain and operations advisory practice of Graham Whittemore, a supply chain executive with more than twenty years at Amazon, CVS Health, Clean Harbors, Wayfair and Staples, and an MIT master's in supply chain management. For an assessment of a target's supply chain and operations, or help with the plan after close, write to the same address. To test whether today's models can actually do a target's tasks before you bid, see the Prove-it Lab. stratussc.com