FaceClocking is an AI-powered clocking solution for Hubdrive HR Management for Dynamics 365. Employees clock in, record breaks, and clock out using facial recognition—fast, low-touch, and highly secure.

Built on Microsoft Power Platform, Azure AI, and Dataverse, FaceClocking runs entirely inside the customer’s Microsoft 365 and Azure tenant. Attendance data stays within the organization's own environment and follows Microsoft security, governance, and compliance standards.

Time entries are written instantly into Dataverse and linked directly to the Hubdrive employee record. This means time data is immediately available for Hubdrive HR approvals, overtime calculations, reporting, and payroll processes.

AI FaceClocking is ideal for shift-based workforces and frontline teams who do not have individual logins or devices. It works using a cost-effective wall-mounted tablet, or a supervisor’s smartphone for field-based teams such as farm workers. The result is faster clocking, reduced admin effort, improved workforce visibility, and trusted attendance records—fully embedded into Hubdrive HR with no external systems or data silos.

FaceClocking solves these specific problems

Many organizations still rely on swipe cards, PIN codes, manual terminals, or paper timesheets. These methods are slow, easy to manipulate, and difficult to manage across multiple locations.

Hubdrive HR supports time clocking out-of-the-box, but it typically requires employees to have individual access and licensing, with limited support for shared clocking devices. Tracking field workers or mobile teams can also be challenging. FaceClocking solves this with facial recognition clocking through shared tablets or a team leader’s phone—delivering secure, login-free attendance capture fully integrated into Hubdrive HR. This is how it works:

• Employees clock in, start breaks, and clock out using a Power App on a wall-mounted tablet or a supervisor’s smartphone. Azure AI verifies identity instantly.
• Clocking events are written directly into Dataverse and linked to the Hubdrive HR employee record.
• Attendance data becomes available immediately for Hubdrive Time & Attendance workflows, approvals, reporting, and payroll processing.

Advantages for HR departments
• Problem: Traditional clocking typically takes 10–20 seconds per punch. For 500 employees clocking twice per day, this adds up to significant lost time at every shift change.
• Solution: FaceClocking reduces clocking time to around 5 seconds. Time data is captured automatically in Dataverse and ready for Hubdrive HR reporting and approvals.
• Result: Saving just 10 seconds per punch equates to approximately 28 hours per month saved in shift-change time alone. For a 500-employee organisation, this can conservatively save 150–250 hours per year in administrative processing.

Advantages for C-Level
• Problem: Traditional clocking systems carry ongoing costs in badge printing, card replacements, and terminal administration.
• Solution: FaceClocking reduces the cost of traditional clocking systems by removing badge printing, card replacements, and terminal administration. It also prevents "buddy punching" and reduces payroll leakage.
• Result: Even a 1% reduction in overpayment can represent tens of thousands of pounds annually in a 500-employee organisation. Because attendance data is captured accurately at source, HR and payroll teams spend less time correcting punches, resolving disputes, and reconciling timesheets.

Advantages for IT departments
• Problem: Most clocking tools introduce a third-party system holding biometric data outside your control — creating a data processor dependency you own but didn't choose.
• Solution: FaceClocking runs entirely inside the customer's Microsoft 365 and Azure tenant, built on Dataverse, Power Platform, and Azure AI Face. No external databases, no third-party connectors.
• Result: All biometric and attendance data stays within the organisation's own tenant. Full ownership, auditability, and governance of workforce records — compliant with Microsoft security standards by default.

At a glance

Technical Details

FaceClocking is built as a native Power App running on Microsoft Dataverse. Clocking events are written directly into the same Dataverse environment used by Hubdrive HR. This means attendance data is instantly available for Time & Attendance rules, approvals, dashboards, analytics, and payroll workflows—without third-party connectors or integrations. No duplicate databases. No external sync engines. Fully embedded.

Installation in 4 Steps

Provision Azure AI Face Service: Deploy and configure Azure AI Face within the customer’s Azure tenant, generate required keys and endpoints, and apply appropriate security controls.

Import Managed Solution: Import the FaceClocking managed solution package into the target Dataverse environment via Power Platform Admin Centre.

Configure Environment Settings: Enter Azure AI credentials, validate API connectivity

Security & Licensing Configuration: Assign appropriate Power Apps licences per device and configure security roles within Dataverse.

Device Setup: Install and configure the Power App on wall-mounted tablets or authorised supervisor mobile devices (kiosk mode recommended for shared devices).