01
Spot checks sample. Risk doesn't.
Post-run review inspects a fraction of decisions. The error in the other ninety-five percent repeats quietly, cycle after cycle, until it's a remediation program.
Platform / Policy Engine
Every workforce decision, checked at the moment it happens
The Policy Engine runs your encoded rules against every workforce decision and returns one of three outcomes — pass, flag, or gate — before the decision becomes pay, staffing, or a compliance finding. Never silent, never sampled.
Deterministic · versioned · testable — the same boundary for people, systems, and AI agents
The problem
A check that runs sometimes isn't a control
Most workforce checks today are spot checks, post-run reviews, and whoever-noticed vigilance. They catch some errors, some of the time — after the decision has already executed.
02
The control exists on paper
The policy says overtime needs approval and credentials must be current. Nothing enforces either at the moment the shift is assigned or the pay file is built.
03
Every check depends on who's checking
Local knowledge, fatigue, and turnover decide what gets caught. The same mistake passes at one site and gets flagged at another.
Pass · flag · gate
Three outcomes. Never silent.
Every decision the engine evaluates — roster-to-time, time-to-pay, role eligibility, care-linked workflows — returns exactly one outcome, with evidence written every time:
- Pass — the decision satisfies the rules and executes automatically. No queue, no delay.
- Flag — the decision proceeds but routes for review, with the rule and remediation path attached.
- Gate — the decision blocks until the required condition is met: a missing credential, an exceeded authority, an unmet rule.
The boundary is the same whether the decision is triggered by a person, a system, or an AI agent — and most decisions pass silently. Your team only sees the ones that need them.
Policy Engine
Running
Shift eligibility check
Passing
Roster-to-clock variance
7 flagged
Pay input anomaly
2 high risk
Required follow-up
Open
Deterministic, not probabilistic
An AI can explain the rule. The Policy Engine proves it ran.
Probabilistic tools summarise and suggest. Governance needs the same answer every time — versioned rules, testable logic, full population. With the Policy Engine:
Every decision checked
The full population, every cycle — not a sample, not whoever noticed.
The same answer everywhere
Deterministic, versioned logic — the rule runs identically at every site, and you can test it.
Caught while recoverable
Before payroll export, before the shift starts, before the report is due — not in remediation.
Continuous checks
Want to see which rules Smartta can operationalise first?
We can map your highest-risk workflows and show how Smartta turns them into repeatable, governed checks.