What is AI TimeGuard?

AI TimeGuard is Truein’s capability for identifying suspicious clock-in activity and potential time theft. It works alongside Truein’s time capture controls to help managers focus their review on records that warrant attention.

How does it work alongside face recognition and GPS?

Face verification helps establish who is clocking in. GPS geofencing checks the location against configured site boundaries. TimeGuard adds analysis of suspicious activity. The checks and actions available depend on the current release, clock-in method and account configuration.

Does AI TimeGuard block every suspicious clock in?

No. Configured capture controls can reject attempts that fail applicable checks. Other concerns may be surfaced for subsequent review. The timing and outcome depend on the check and how your account is configured.

Does a flagged clock in mean time theft occurred?

No. A flag indicates activity worth reviewing. Approved site changes, shared kiosks, device replacements or incomplete records can affect how an event should be understood. An authorized person should review the evidence before reaching a conclusion.

Can AI TimeGuard prove that a worker worked every recorded minute?

No. Verifying a clock-in and reviewing suspicious activity help protect time-record integrity. They do not establish continuous presence, productivity or work performed throughout a shift.

Is AI TimeGuard a separate time tracking system?

AI TimeGuard is part of Truein. It supports clock-in integrity within the platform rather than serving as a separate payroll or time tracking system. Ask our team which capabilities are available for your account.

How is AI TimeGuard different from Truein AI?

AI TimeGuard focuses on clock-in integrity and potential time theft. Truein AI covers broader assistance and insights across the platform. Ordinary attendance and payroll analysis is a separate use case from investigating a suspicious clock-in.

Truein AI TimeGuard

AI powered time theft detection for multi site workforces

Identify suspicious clock-in activity and give your team a clearer starting point for review. AI TimeGuard works alongside Truein’s face verification and GPS controls to help protect the integrity of your workforce time records.

See AI TimeGuard in Action How It Works

Truein is trusted by 500+ companies

Truein AI TimeGuard screen showing blocked spoof, unauthorized face and out-of-location clock-in counts across all sites

Built into Truein time tracking

Support reliable time capture across changing job sites, workers’ phones and shared site kiosks, with protection configured for how your workforce operates.

Know which clock ins need a closer look

A clock-in record shows that an event was recorded. Your team still needs confidence in who made it, where it happened and whether the surrounding activity warrants attention.

Across multiple sites, supervisors cannot inspect every attempt or connect every recurring pattern. AI TimeGuard helps surface suspicious activity so your team has a more focused place to begin its review.

Protect clock in integrity from capture through review

Step 1
Clock-in controls

Face and location checks

Apply controls when workers clock in

Truein combines face verification with GPS geofencing to help verify the worker and the clock-in location. Configured controls can reject clock-ins that fail the applicable checks, helping prevent unauthorized records from entering the time tracking workflow.
Step 2
Suspicious activity detection

Potential concerns surfaced

Surface suspicious activity

AI TimeGuard helps identify unusual clock-in activity for review. The focus is on the integrity of the clock-in: identity concerns, location-related signals and suspicious patterns in recorded activity.
Step 3
Manager review

Context and evidence reviewed

Review before deciding what happened

A flag is a reason to investigate. Managers should examine the relevant records, account for legitimate site or device changes, and determine the appropriate next step. A flagged event does not establish that a worker committed time theft.

Available checks and actions depend on the clock-in method and account configuration.

Focus on the signals behind a clock in

Identity and spoof concerns

Help identify potential misuse around clock-in identity. Review the relevant verification outcomes and available records when an event raises a concern about who made the punch.

Location related concerns

Assess unusual clock-in locations alongside site boundaries and the controls configured for the worker. Location evidence needs context, including permitted site assignments and the accuracy of the available GPS reading.

Suspicious clock in patterns

Look beyond a single record when activity deserves attention. Review relevant clock-in history and surrounding events to understand whether a concern is isolated, recurring or explained by normal site operations.

Understand what was blocked and what needs review

Preventive controls and detection perform different jobs. A rejected clock-in attempt shows that a configured control acted on that attempt. Suspicious recorded activity needs a separate review to establish what happened.

Keep those outcomes distinct when assessing your protection. Blocked attempts should not be counted as confirmed fraudulent hours, and a flag should not be treated as a confirmed incident.

For a practical explanation, read how AI anomaly detection in time tracking works.

Built for workforces spread across sites

Construction and specialty contractors

Support time capture as workers move between projects and site assignments change. Review clock-in concerns with the relevant job-site context.

Facilities and cleaning services

Help supervisors focus their attention across client locations, where a central team cannot observe each worker’s arrival.

Logistics and distributed operations

Use consistent time capture across warehouses and other operating locations, with identity and location controls suited to the clock-in method.

Truein supports clock-ins on workers’ phones and shared site kiosks. Authorized kiosk use and approved site movements should be considered when reviewing unusual activity.

Strengthen the records your payroll process relies on

Payroll relies on the quality of the time records it receives. Face and location controls help protect capture, while TimeGuard gives your team another way to identify activity that warrants review.

Use that review to resolve questions about clock-in integrity before time records are finalized for downstream processing. TimeGuard supports this work; it does not determine payable hours or replace your approval process.

Frequently asked questions

See AI TimeGuard with your workforce in mind

Explore how Truein combines face verification, GPS controls and suspicious-activity review for your sites and clock-in methods.

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Hear From Industry Leaders

Truein is robust, reliable, and works as promised. I have implemented Truein in my previous and current companies. It's the best and most cost-effective solution.

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This face detection time & attendance software is very effective at our construction company. Full marks to Truein and their support team!

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We have had a very positive experience using Truein, and weare pleased to recommend it.

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Because of Truein, proxy attendance has completely stopped, and it saves us a lot of time during payroll.

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Our guys in the field like it. And in the back office, we're loving it as well. So, we would definitely recommend Truein.

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Senior IT Admin, Walker Engineering

Truein outshines all other time and attendance solutions. Its rich features, payroll ready timesheets and centralized controls put it in a class above all.