AI workforce security platform

Protect every shift with AI that knows when work is real.

JoSecure helps logistics teams, service businesses, and field operations stop payroll leakage, reduce time theft, and identify suspicious attendance patterns before they become costly losses.

Request demo See how it works
42%pilot goal: less leakage
2.4xtarget audit acceleration
24/7live anomaly detection

Live workforce

1,284

Shift integrity Healthy

High-risk anomalies

07

  • Unauthorized clock-in
  • GPS mismatch
  • Early sign-off
1.2k+
Pilot workers tracked
12
Pilot sites
4.9/5
Initial operator feedback
24/7
Risk monitoring
The problem

Payroll leakage is quietly eating away at margins.

Many businesses still rely on paper logs, manual punch-ins, and fragmented attendance tools. That creates buddy punching, ghost shifts, time falsification, and slow compliance reviews.

African operations team reviewing workforce data Who suffers

Operations leaders, HR teams, and site managers

They lose time, wages, and trust when attendance data is inaccurate or impossible to verify.

African finance and payroll analysis What it costs

Hours lost weekly and inflated payroll costs

Unverified attendance can drain thousands of dollars per month across staffing, overtime, and compliance risk.

African workforce collaboration and hybrid operations Why now

Remote teams and hybrid shifts make fraud easier

As workforces spread across multiple sites, manual monitoring can no longer keep up with real-time risk.

The solution

JoSecure turns attendance into an intelligent, verifiable system.

We combine location intelligence, identity verification, anomaly detection, and predictive alerts to tell teams when a shift is likely real and when it needs human review. The result is cleaner payroll, faster investigations, and better workforce visibility.

  • Real-time attendance monitoring
  • Device, GPS, and behavior validation
  • AI-generated anomaly reports for supervisors
  • Faster, auditable payroll decisions
Biometric check Verified
GPS route match Match
Shift duration pattern Review
Clock-out deviation Flagged
AI technology

AI is at the center of our platform, not bolted on.

What data AI uses

Attendance logs, geolocation data, device metadata, shift timestamps, team schedules, historical exception patterns, and behavior baselines.

What it predicts

It detects anomalies, flags suspicious check-ins, identifies likely time fraud, and predicts which shifts need manager review.

Models & techniques

We use rule-based logic, anomaly scoring, time-series modeling, and predictive classification to power workforce intelligence.

Infrastructure

High-throughput streaming pipelines and GPU-accelerated inference help us process live activity data and generate alerts instantly.

Product features

Built to catch risk before payroll is approved.

African team using attendance and operations technology
01

AI for attendance validation

Cross-checks time logs against location, schedule, and historical behavior to validate every shift.

African team reviewing alerts and operational risk
02

Fraud and anomaly detection

Flags ghost shifts, early sign-offs, duplicate clock-ins, and inconsistent route activity in real time.

African manager reviewing workforce actions and insights
03

Supervisor action dashboard

Lets teams review exceptions, send follow-up prompts, and resolve discrepancies without spreadsheet chaos.

African professional reviewing compliance and records
04

Compliance audit trails

Creates searchable, timestamped records for payroll disputes, labor reviews, and internal audits.

African business team tracking productivity insights
05

Real-time insights

Summarizes overtime pressure, absenteeism, and staffing risk across sites and teams.

African enterprise technology integration overview
06

API-ready integrations

Works alongside payroll systems, HR tools, job management platforms, and corporate operations workflows.

Live product preview

Clear data. Clear decisions. Less risk.

Teams need a system that explains risk instead of burying them in raw attendance data. JoSecure turns complex activity streams into simple operational decisions.

Operations dashboard Live
Attendance integrity 96.4%
Risk score 2.1
Exception review
  • Buddy check 2
  • Unverified route 4
  • Early sign-out 1
How it works

From shift data to action in four steps.

01

Capture activity

We collect attendance data from devices, check-ins, route records, and schedule information across your workforce.

02

Apply AI scoring

Our models compare each shift to expected behaviors and detect inconsistencies using historical and live patterns.

03

Flag exceptions

Only high-risk anomalies are surfaced to managers, reducing alert fatigue and accelerating review cycles.

04

Payout and policy actions

Supervisors review clear evidence, resolve issues quickly, and keep payroll decisions transparent and auditable.

Technology & infrastructure

Cloud-native systems designed for secure, scalable workforce intelligence.

How we use AWS

We use AWS to host backend APIs, store attendance and compliance records, run AI inference workflows, enforce identity and access controls, and monitor system availability through cloud-native observability tools.

How we use NVIDIA

NVIDIA acceleration supports high-throughput model inference, complex anomaly scoring, and real-time processing for large workforce datasets as we scale into higher-volume operations and multi-site deployments.

Market opportunity

Focused on high-risk, high-volume workforce operations.

Our initial target market is frontline operations in logistics, security, service teams, and field staffing. We are building for Nigeria, Ghana, Kenya, South Africa, and the wider African workforce market first.

Target usersOperations teams, HR, site managers, field supervisors
Launch marketsNigeria, Ghana, Kenya, South Africa
Revenue modelSubscription, team workspaces, enterprise onboarding
Growth planStart with pilots, expand to multi-site operations
Traction

MVP in development with strong early demand.

Waitlist

680+

Interested teams on the early access list across operations, field services, and security.

Pilot users

12 sites

Currently onboarding pilots in staffing, field operations, and logistics environments.

MVP status

Beta

Production-ready pilot workflows are being refined with real operational feedback from early users.

Roadmap

What we are building next.

Phase 1 MVP development
Phase 2 Beta testing with early users
Phase 3 AI model improvement
Phase 4 Cloud deployment
Phase 5 GPU-accelerated scaling
Phase 6 Expansion to more markets
Team

Built by engineers, operators, and product specialists.

AF

Bolaji Josesph

Founder & CEO

Former operations leader with experience in workforce systems, compliance, and process design for service businesses.

DT

Daniel Thompson

Head of AI

Builds the anomaly detection stack and predictive modeling system behind each workforce risk score.

ME

Mina Eze

Product & Operations

Runs pilot onboarding, gathers field feedback, and turns customer friction into product requirements.

Contact

Book a demo or join the waitlist.

Whether you are managing a field team, security workforce, or staffing operation, JoSecure helps you reduce risk before payroll is processed.

hello@josecure.com +234 800 000 0000
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