Human Resources

Stop chasing data. Start understanding people.

88% of HR leaders told Gartner in 2025 that AI tools have not yet delivered meaningful business value. SheetAI is built for the file you already live in: it reads your headcount sheet in place, writes the formulas, and produces a reviewable trail your CFO and your legal team can both sign off on.

Audit-ready trailNo data trainingReversible per action
$291
Average cost of one payroll error
An EY survey of 508 US payroll professionals found that one in five payrolls contains errors, and each error costs an average of $291.
Source: EY survey, released by Paycom (2022)
0.5-2x
Of salary to replace one employee
Gallup estimates that replacing an employee costs between half and twice their annual salary, and calls that a conservative estimate.
Source: Gallup: This Fixable Problem Costs U.S. Businesses $1 Trillion (2019)
~$4,700
Average cost per hire
SHRM benchmarking data put the average cost per hire at nearly $4,700. Many employers estimate the full cost of a new hire at three to four times the role's salary.
Source: SHRM: The Real Costs of Recruitment (2022)
Human Resources: illustration for SheetAI's human resources use case
88% of HR leaders say AI has not delivered business value yet.

Gartner surveyed 114 CHROs in 2025. Most have AI somewhere, usually a chatbot bolted onto an HRIS. The work that actually consumes the team's week still happens in a spreadsheet, and the AI never gets near it. That is the gap we close.

Source: Gartner: HR AI Business Value Survey 2025

People Ops is the function that runs on exports. The HRIS exports a headcount file. Payroll exports a register. ATS exports a candidate funnel. Performance tooling exports a calibration grid. Each export ends up in a spreadsheet that someone reconciles by hand, then narrates in a deck for the leadership team. Deloitte's 2025 Human Capital Trends survey of nearly 10,000 leaders flagged it directly: the data is there, the synthesis is not. SheetAI lives inside the spreadsheet where this work actually happens. It reads ranges on demand, writes standard Excel and Google Sheets formulas a compliance reviewer can audit, never trains on your data, and stops the moment it is unsure.

The state of People Ops in 2026

Four numbers, sourced from 2025 HR research, that explain why your week feels the way it does, and where AI is and is not helping the function yet.

AI adoption inside the HR function

43%

Up from 26% in 2024: but a 2025 Gartner survey of 114 HR leaders found 88% have not yet seen significant business value. Adoption ≠ value.

SHRM 2025 / Gartner 2025

Median U.S. time-to-fill (open requisition)

45 days

SHRM's 2025 Benchmarking Report: 45 days median, 42 days in manufacturing, 48 in tech. Applications-per-hire have tripled since 2021.

SHRM 2025 / Ashby Talent Trends

New hires lost during probation

18%

McKinsey HR Monitor 2025: of every five hires you fight to land, almost one walks before the probation period closes. Hiring success: 46% in Europe.

McKinsey HR Monitor 2025

HR processes enhanced with generative AI

~19%

Across European HR functions, only 19% of core HR processes use gen AI; another 32% are still in pilot. The work is happening in spreadsheets, not Workday modules.

McKinsey HR Monitor 2025

The pattern: AI adoption inside HR has crossed 40%, but the value has not landed, because the AI is bolted onto the HRIS, while the team's actual work happens in a comp file, a headcount file, a calibration grid. SheetAI is built for the inverse: AI that reads your cells, not your HRIS dashboard.

Anatomy of a comp cycle

Where the hours actually go on a mid-market annual compensation review, before any automation. We mapped this against the work most Total Rewards teams describe: five phases, calendar-quarter long. If your cycle looks like this, you are not behind. You are everyone.

1

Phase 1: Data assembly

  • ›Export headcount, comp, and tenure from the HRIS
  • ›Pull market data from Radford / Mercer / Payscale
  • ›Reconcile employee IDs against payroll and finance budget
⚠ Three exports rarely match. Employee 4471 is in payroll but not headcount. Manager assignments are 11 days stale. The spreadsheet starts with 40 hours of cleanup.
2

Phase 2: Band & range refresh

  • ›Refresh salary ranges against the market survey
  • ›Apply geographic differentials by office and remote zone
  • ›Identify out-of-band employees by 5%, 10%, 20% breach
⚠ Salary.com's 2025 trends report flags it directly: outdated comp data leads to misinformed decisions. Best practice is at least an annual refresh; most teams ship one stale.
3

Phase 3: Manager allocation

  • ›Distribute merit pool by department
  • ›Build the manager-facing comp tool (one row per direct report)
  • ›Lock the budget against finance's headcount plan
⚠ Each manager gets a different sheet. Each sheet has different conditional formatting. Every error you find means re-issuing 40 files.
4

Phase 4: Calibration & equity audit

  • ›Run pay-equity regression by gender, race, tenure
  • ›Calibrate manager recommendations across the org
  • ›Flag any change that breaches the band ceiling
⚠ Calibration cycles that should take days take weeks when they live in a spreadsheet shared by 18 managers. Pay-equity audits get pushed to the end of the cycle, when nothing can be changed.
5

Phase 5: Letter generation & filing

  • ›Generate individualized comp letters at scale
  • ›Reconcile final numbers back into payroll for the next cycle
  • ›Archive the working file with the audit trail
⚠ Three rounds of mail-merge. Two payroll feeds. One spreadsheet that nobody quite trusts but everyone keeps copies of, in case the auditor asks.
Cautionary tale

Why "AI inside the sheet" matters more than you think

In July 2021, the California Department of Fair Employment and Housing sued Activision Blizzard alleging systematic discrimination and harassment. Within weeks, the agency made a separate, more specific allegation: that HR personnel had shredded complaint documents and that the company's system deleted employee email 30 days after separation, despite a legal duty to preserve. The case settled in December 2023 for $54M, with the pay-inequity component the largest line item.

The lesson: When HR data lives in 40 disconnected files passed through email, every change is unauditable by default. The fix is not a bigger HRIS; Activision had one. The fix is to keep the work in one place and let the AI annotate every change. SheetAI never asks you to paste your roster into a chat box; it operates on live ranges, every action is logged with the prompt that triggered it, and every step is reversible. When the auditor asks "who changed Employee 2814's band on March 12," you have an answer.

Source: California Civil Rights Department v. Activision Blizzard: settlement filing (Dec 2023)

Who it's for

If you live between the HRIS export and the comp file, this section is for you.

CHROs

Need a reliable read on workforce cost, attrition, and DEI metrics without waiting two weeks for the analytics team to refresh the deck.

VP People Ops

Owns the operating rhythm: headcount reconciliation, payroll integrity, comp cycle, performance review. Lives in spreadsheets the HRIS cannot produce.

Compensation Analysts

Reconciles internal bands against Radford / Mercer surveys, runs pay-equity regressions, and rebuilds the same comp tool four times a year.

HR Business Partners

Asked for cohort attrition, manager-level engagement scores, and headcount-to-budget for a single business unit, by Friday.

Recruiters / Talent Leads

Maintains the funnel by hand (source-of-hire, pass-through rate, time-to-fill) across an ATS export and a recruiter-by-recruiter scorecard.

Real People Ops workflows

The exact prompt, the formula it writes, and the result you'd hand to your CFO and your legal team.

hr_workbook.xlsx - SheetAI
You ask
“For each row in Roster!A:H, look up the band ceiling and floor in Bands!A:D by job code, then flag anyone paid above ceiling, below floor, or within 5% of either. Add a Band Status column with the reason in plain English.”
SheetAI does
  • ✓Reads the roster and the band table; infers the join on job_code.
  • ✓Writes an INDEX/MATCH lookup against the band table.
  • ✓Computes the breach with a nested IF in a Band Status column.
  • ✓Highlights breaches with conditional formatting and counts each category.
Formula written
=IF(D2>INDEX(Bands!D:D,MATCH(B2,Bands!A:A,0)),"ABOVE CEILING by "&TEXT((D2/INDEX(Bands!D:D,MATCH(B2,Bands!A:A,0)))-1,"0.0%"),IF(D2<INDEX(Bands!C:C,MATCH(B2,Bands!A:A,0)),"BELOW FLOOR","IN BAND"))
Result

47 ceiling breaches, 23 floor breaches, 89 within 5% of edges, across an 814-person roster. Surfaces by manager so each one-on-one has the list.

Everything People Ops teams need, in one chat box

Turn HRIS exports into reviewable analysis. Reconcile headcount, audit pay equity, aggregate reviews, and produce the trail your legal and compliance teams need.

✓Comp band breach detection
✓Pay-equity regression on demand
✓Headcount-to-budget reconciliation
✓Attrition cohort analysis
✓Performance review aggregation
✓Recruiting funnel reporting

Plays well with your stack

  • Workday custom report exports (CSV / XLSX)
  • BambooHR roster and time-off downloads
  • ADP / Gusto payroll registers
  • Greenhouse / Lever ATS exports
  • Lattice / 15Five performance review exports
  • Radford / Mercer / Payscale market data files

What a comp cycle week looks like

A representative mid-market annual comp cycle, before and after SheetAI lands in the workflow. The "before" mirrors the five-phase pattern most Total Rewards teams describe; the "after" reflects what HR customers report after their second cycle on the platform.

✕

Before SheetAI

~48 hours
  • Mon
    Pull HRIS, payroll, market exports; fight ID mismatches and stale manager fields
    ~9h
  • Tue
    Refresh bands against market survey; apply geo differentials by office
    ~8h
  • Wed
    Build manager comp sheets; distribute, then chase 12 corrections by email
    ~10h
  • Thu
    Calibration meetings; pay-equity regression run by hand on the side
    ~9h
  • Fri
    Letter generation, payroll feed, audit-trail archive
    ~7h
  • Sat
    Late finds and one-off re-issues to two managers
    ~5h
✓

With SheetAI

~11 hours
  • Mon
    AI reconciles 814 employees across 3 sources; 11 breaks flagged with reasons
    ~3h
  • Tue
    Band breach report: 47 above ceiling, 23 below floor, by manager
    ~2h
  • Wed
    Manager comp sheets generated from a template; equity audit auto-included
    ~3h
  • Thu
    Calibration with rating distributions side-by-side; 4 over-raters surfaced
    ~2h
  • Fri
    Letters merged, payroll feed exported with full lineage. Done by lunch.
    ~1h

~77% reduction in comp-cycle hours, on a representative mid-market HR book.

What SheetAI will not do

A People Ops tool that is honest about its limits is the only kind worth installing. Some decisions belong to humans, full stop, and many belong to lawyers.

✕

Make termination, promotion, or raise decisions

SheetAI surfaces patterns and proposes calculations. Every employment decision belongs to a human accountable to FLSA, ADA, FMLA, and your internal policy. The AI never clicks "approve."

✕

Disclose protected-class data without controls

EEOC categories, GINA-protected genetic info, ADA-protected medical info, and demographic data flow only when you scope a range that contains them. They are never exfiltrated, and our default Pro contract includes a no-training clause.

✕

Replace pay-transparency compliance review

CA, CO, NY, WA, IL, and a growing list of states regulate posted ranges with penalties from $500 to $10,000 per violation. SheetAI flags out-of-range job specs against your band table; your employment counsel signs off on the posting.

✕

Cross GDPR / data-residency boundaries on its own

European employee data is governed by GDPR. Your files are stored on servers in the EU, but prompts are processed by our AI model providers, which may be outside the EU, and we do not yet offer a signed Data Processing Agreement or a SOC 2 report. Strip direct identifiers before the AI sees the roster.

“
The comp cycle used to eat my entire September. Last year we wrapped in eleven days, and the equity audit was already inside the file when we shipped, not bolted on at the end. The biggest win was not the time saved. It was that nothing required a re-issue.
Director of Total Rewards, mid-market enterprise (~1,200 employees, multi-state)

Frequently asked

Things People Ops teams ask before they switch.

Is employee PII sent to a third-party AI?

›
Your roster stays in SheetAI. The AI receives only the cell ranges relevant to the action you requested, never the entire workbook by default. We do not train models on customer data, and All plans encrypt data in transit with TLS.

Is SheetAI compliant with GDPR for European employees?

›
Partly, and you should know exactly where the line is. Your files are stored on servers in the EU (Hetzner). Prompts, including the cell ranges you send to the AI, are processed by our AI model providers, which may be outside the EU. We do not offer a signed Data Processing Agreement or EU-only model routing today; contact us if you need either. For the strictest cases, scope ranges to exclude direct identifiers entirely.

How do you protect compensation confidentiality?

›
SheetAI works against the cell ranges you point it at. If a comp file is restricted to a specific group in your file system, the AI inherits that restriction; it has no separate access. Every action is logged with the prompt and the affected ranges, so an auditor can trace who saw what and when.

How does it handle EEO-protected demographic data?

›
Race, gender, veteran status, disability status, and age data flow only when you reference a range that contains them. The AI never re-uses them across sessions, and our default workflow for pay-equity regression strips identifiers and surfaces only the aggregated coefficients. EEO-1 Component 1 reports can be assembled without any individual employee leaving the spreadsheet.

Will the formulas work in both Excel and Google Sheets?

›
Every formula SheetAI writes is standard Excel / Google Sheets syntax: INDEX/MATCH, COUNTIFS, SUMIFS, AVERAGEIF, no proprietary functions. The Excel add-in and Google Sheets add-on let you run the same prompts inside Microsoft 365 and Google Workspace, and your file remains portable.

Can it integrate with Workday, BambooHR, or ADP?

›
SheetAI works on the exports those systems already produce: Workday custom reports, BambooHR roster downloads, ADP / Gusto registers. It is not a replacement for your HRIS. It is the layer that makes the post-export work tractable.

Does it support pay-transparency compliance?

›
Yes. Workflows include "flag any role posted with a range that breaches your band table" and "show me where actuals are outside the posted range by state." SheetAI does not publish your job specs; your ATS and your legal team still own that, but it surfaces the breaches before the posting goes live.

Can a one-person People Ops team get value on day one?

›
Especially. The 2025 SHRM State of the Workplace report found 57% of HR pros operating beyond capacity due to chronic understaffing, and only 19% of HR executives expect budget for additional hires. SheetAI is not a replacement for an experienced HRBP; it is leverage. If you can describe what you would normally ask a junior to do, you can ask SheetAI.

How is this different from copy-pasting into ChatGPT?

›
SheetAI works against live cell references, not screenshots. Edits are reversible per action, every change is annotated, and the model can iterate by reading the result back. Pasting a roster into a chat tool gives you advice. SheetAI gives you a finished, reviewable file with an audit trail attached.
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Stop chasing data.
Start understanding people.

Open SheetAI, drop in your headcount export, and watch the reconciliation build itself. No installation, no setup, just your roster and a sheet.

All use cases

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