Oglas AI

Case studies

Proof of operational problems solved

Explore the systems delivered, the bottlenecks removed, and the measurable outcomes achieved while client identities and sensitive details remain confidential.

Manpower Company

300 minutes saved per day

ESS portal that recovered 300 HR minutes every day

ESS & HR PortalsWorkflow Automation

Challenge

The HR team was spending a large part of each day answering repeated employee queries, handling request follow-ups, and guiding staff through basic HR processes.

Solution

Oglas AI built an employee self-service portal where staff could raise HR queries, check request status, access guided information, and reduce direct dependency on the HR team for repeated questions.

Saved 300 minutes per day for the HR teamRecovered 110 HR hours across a 22-working-day monthEquivalent to nearly 14 full working days saved every month

Manpower Company

1-2 days reduced to under 10 seconds

Payroll automation with ESS integration

ERP & Payroll AutomationESS & HR Portals

Challenge

Payroll processing was one of the company's biggest operational headaches, requiring 2-3 staff members and 1-2 business days to complete a single payroll cycle.

Solution

Oglas AI automated the payroll workflow and integrated it with the ESS layer, allowing payroll inputs, employee records, and approval data to move through the system without manual consolidation.

Reduced payroll processing to less than 10 secondsRecovered an estimated 16-48 staff-hours per payroll cycleEquivalent to 2-6 staff working days saved in a monthly payroll run

Steel Manufacturing

Cashflow leakage made visible

ERP and BI dashboards for steel manufacturing visibility

AI Dashboards & Decision IntelligenceWorkflow Automation

Challenge

The owner needed a clearer view of workshop activity, project costing, client payment cycles, cashflow movement, and aging reports across the manufacturing operation.

Solution

Oglas AI built an ERP layer with advanced BI dashboards to connect workshop status, project data, payment cycles, aging reports, and management visibility. An intelligent machine learning layer was also introduced to learn project costing patterns for future automation.

Gave ownership a complete view from workshop status to payment agingHelped identify cashflow leakage through BI dashboardsCreated a machine learning foundation for future costing automation

Marketing Automation

24/7 campaign inspection

Marketing agent for Meta Ads optimization

Marketing AutomationAI Dashboards & Decision Intelligence

Challenge

Campaign performance needed constant monitoring, but manual optimization could not reliably inspect ads, budgets, and signals around the clock.

Solution

Oglas AI deployed a marketing agent that monitors Meta Ads performance 24/7, reviews campaign signals, and supports advanced optimization decisions based on live performance patterns.

Enabled always-on campaign inspectionReduced dependency on manual ad account checksSupported faster optimization decisions for active campaigns