Use Cases
Practical AI applications with clear business value. Each use case includes signals to help you identify fit, expected impact, and a typical approach.
Intelligent Invoice Processing
Finance teams receive invoices in dozens of formats: PDFs, scanned images, emails, even handwritten notes. Staff manually extract vendor details, amou...
Impact
70-85% reduction in manual data entry time
Processing time reduced from days to hours
Fewer payment errors and late fees
Crew Demand Forecasting
HR teams handle crew demand forecasting for projects across sites, projects, and field crews where timing and safety constraints matter. Work often de...
Impact
30 to 50 percent reduction in time spent on crew demand forecasting
Faster decisions when operational conditions change
Fewer errors and rework in crew demand forecasting
Skills Gaps
HR teams handle skills gaps for trade and engineering across sites, projects, and field crews where timing and safety constraints matter. Work often d...
Impact
30 to 50 percent reduction in time spent on skills gaps
Faster decisions when operational conditions change
Fewer errors and rework in skills gaps
Succession Risk
HR teams handle succession risk for pms across sites, projects, and field crews where timing and safety constraints matter. Work often depends on proj...
Impact
30 to 50 percent reduction in time spent on succession risk
Faster decisions when operational conditions change
Fewer errors and rework in succession risk
Scenario Modelling
HR teams handle scenario modelling for mobilisation across sites, projects, and field crews where timing and safety constraints matter. Work often dep...
Impact
30 to 50 percent reduction in time spent on scenario modelling
Faster decisions when operational conditions change
Fewer errors and rework in scenario modelling
Vacancy Impact
HR teams handle vacancy impact for schedule across sites, projects, and field crews where timing and safety constraints matter. Work often depends on ...
Impact
30 to 50 percent reduction in time spent on vacancy impact
Faster decisions when operational conditions change
Fewer errors and rework in vacancy impact
CV Screening
HR teams handle cv screening for site roles across sites, projects, and field crews where timing and safety constraints matter. Work often depends on ...
Impact
30 to 50 percent reduction in time spent on cv screening
Faster decisions when operational conditions change
Fewer errors and rework in cv screening
JD Optimisation
HR teams handle job description optimisation across sites, projects, and field crews where timing and safety constraints matter. Work often depends on...
Impact
30 to 50 percent reduction in time spent on job description optimisation
Faster decisions when operational conditions change
Fewer errors and rework in job description optimisation
Shortlisting By Project And Discipline
HR teams handle shortlisting by project and discipline across sites, projects, and field crews where timing and safety constraints matter. Work often ...
Impact
30 to 50 percent reduction in time spent on shortlisting by project and discipline
Faster decisions when operational conditions change
Fewer errors and rework in shortlisting by project and discipline
Interview Packs
HR teams handle interview packs across sites, projects, and field crews where timing and safety constraints matter. Work often depends on project peak...
Impact
30 to 50 percent reduction in time spent on interview packs
Faster decisions when operational conditions change
Fewer errors and rework in interview packs
Hiring Cycle Time Analysis
HR teams handle hiring cycle time analysis across sites, projects, and field crews where timing and safety constraints matter. Work often depends on p...
Impact
30 to 50 percent reduction in time spent on hiring cycle time analysis
Faster decisions when operational conditions change
Fewer errors and rework in hiring cycle time analysis
Policy Qanda
HR teams handle policy qanda for site rules across sites, projects, and field crews where timing and safety constraints matter. Work often depends on ...
Impact
30 to 50 percent reduction in time spent on policy qanda
Faster decisions when operational conditions change
Fewer errors and rework in policy qanda
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