Which processes to automate first: a simple scoring method
Score each process on hours, clarity, data readiness and risk, check payback, then automate the top one or two. Worked example and pass/fail test.
Headcount, attrition and hiring-funnel numbers tracked automatically and delivered as one clear report.
Leadership asks for headcount, attrition and time-to-hire again, and someone rebuilds the same spreadsheet. This build pulls those numbers from your HRIS and ATS on a schedule, works them out the way you define them, and delivers one clear report or dashboard. When a metric moves sharply, such as attrition rising in one team, you hear about it early.

AI HR Analytics pulls headcount, attrition and hiring-funnel data from your HRIS and ATS, then delivers it as a recurring report or dashboard with trends and alerts built around the metrics you define. It answers the numbers questions leadership keeps asking without someone rebuilding a spreadsheet each time, and it is checked against your history first.
People numbers drive big decisions on hiring plans, budgets and retention, but they are often stitched together by hand and a few weeks late. By the time attrition is spotted in a spreadsheet, good people have already gone. This build gives HR and leadership the same trusted figures every period, with early warnings, so conversations start from facts instead of guesses. It reports and never decides. The Scope Card lists the sources, metric definitions and alerts before you buy, so you know exactly what lands in your inbox.
Headcount, attrition and hiring-funnel data are pulled from your HRIS and ATS automatically. The numbers arrive as a recurring report or dashboard instead of a fresh spreadsheet each time.
Trends are tracked against the metrics you define, with up to five alerts. HR can see attrition rising in a team while there is time to respond.
Up to three read-only sources feed one report, checked against your history before launch. Leaders discuss one set of figures rather than reconciling two in the meeting.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,500 |
| Express | 15–25 working days | $6,450 |
| Rush | 10–20 working days | $7,450 |
Before you start: List the HR figures leadership asks for most and the time each report takes. Record current attrition by team.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build price is one-time. Running it afterwards is billed in your own accounts and typically runs about $20 to $150 a month for AI model usage and hosting or scheduler fees, depending on how often the report runs and how many sources feed it.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsIf you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order runs on its normal timeline either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionWe recommend monthly maintenance: monitoring, fixes and monthly hours for changes, which cover new metrics, an updated attrition definition or an extra alert. The change hours scale with the build. Maintenance starts after the 30 days of included support, bills monthly, and can be cancelled any month.
$275/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A people-analytics platform charges a monthly fee per manager seat | A consultancy bills per report or per quarter for HR metrics | Ours is one fixed price, shown before you buy |
| Scope | A people-analytics platform bundles dozens of metrics you may not need | A consultancy's scope depends on the engagement agreed | Ours is written on the Scope Card before purchase |
| Delivery | A people-analytics platform needs a rollout project to connect your systems | A consultancy usually takes several weeks to build and validate | Ours has a fixed delivery time shown before you buy, with faster options |
| Accuracy check | A people-analytics platform rarely validates against the numbers you already trust | A consultancy build depends on what was agreed and tested | Ours is checked against 3 months of your own data before launch |
The build is one fixed price, shown on this page before you buy, with express and rush delivery available at a set extra cost. Running the report afterwards costs roughly $20 to $150 a month in AI usage and hosting, paid directly in your own accounts. There is no per-user fee from us.
You define up to 25 metrics during setup, commonly headcount by department, voluntary and involuntary attrition, offer-accept rate, time-to-hire and hiring-funnel conversion. Each one pulls from up to 3 connected read-only data sources, such as your HRIS and ATS, and is checked against 3 months of your historical data before launch.
The report is built to show aggregate metrics like department headcount and attrition rate, not individual employee records, and access to each data source is shared by adding our team as a user or creating a key you control, never by email. You control exactly which read-only sources are connected during setup.
This build reports on structured HR numbers like headcount, attrition and hiring-funnel metrics. AI Employee Feedback instead reads open-text survey and exit-interview comments and groups them into themes. Both share the same delivery and alert structure, but the underlying data and analysis are different.
Most HR teams spend one to two hours defining metrics and gathering historical data inside the 72-hour intake window. After that, expect around an hour reviewing results checked against 3 months of your data, plus the written handover report before launch.
Adjusting existing metric definitions or report layout fits inside the monthly change hours that come with maintenance. Adding a fourth data source or going past 25 tracked metrics is a defined add-on, quoted and agreed before that work starts. Those hours also cover an updated attrition definition or an extra alert, and you can cancel any month.
No. It reads from the HRIS and ATS you already use through read-only access; it does not store or replace your system of record. Think of it as the reporting layer that turns data already sitting in those systems into a recurring, trend-tracked report.
You can move to monthly maintenance, or stop there with a fully working report and no ongoing commitment. Either way, the metric definitions, calculations and delivery schedule remain yours and keep running exactly as tested. Maintenance covers monitoring, fixes and change hours for new metrics, an updated attrition definition or an extra alert.
Order AI HR Analytics and get a recurring headcount, attrition and hiring report on a fixed delivery date. The scope above is what you get, in writing, before you pay.


Drafts evidence summaries and structured review write-ups for managers. It makes no rating; the manager decides.

Answers employee HR questions from your policies and routes requests.