HR TECH | culp


HR architecture ∙ HRIS ∙ HCMS ∙ management systems ∙ experience platforms ∙ talent tools ∙ culture tools ∙ dashboards ∙ analytics ∙ tech disruptors ∙ business analysis ∙ requirements gathering ∙ RFP ∙ vendor management ∙ project management ∙ business case development ∙ gantt charts ∙ automation ∙ integration ∙ engagement ∙ productivity ∙ support and change management ∙ data integrity

The HR tech industry is a $400 billion-dollar industry. The speed at which new technology is being developed for HR makes it impossible for organisations to keep up. There are systems, tools and platforms for every step of the candidate and employee experience and each one of these produces data. So much data that it becomes overwhelming and often what is staring you in the face is missed resulting in a sub-optimal performance or intervention. 

Technology also drives efficiency which influences HR’s ability to manage talent and culture considerably. The less manual and antiquated your HR ecosystem, the more time you can spend on more strategic business critical culture and people intervention. 

At culp, our HR tech services specialize in co-designing with you and your IT teams the most relevant HR Architecture that supports HR and the organisation with the right data outcomes to inform decision making. We spend countless hours reading, researching and observing what tech is out there, what tech is disrupting and delivering results, and what tech is relevant for our clients. We do not have any prefered partners in the tech domain. We are proud of our tech-independence allowing us to recommend the most relevant ecosystem that meets your culture and people needs. 

culp’s methodology is complimented with a business case and a ROI for you to use to present to the business and earn the budget you will require (because it is expensive) to implement, integrate or optimize HRIS.

Some organisations are building an HR tech stack that is managed by a smaller resourced HR team. The jobs and skills needed in these HR teams (i.e Data Scientist), look very different to 10 years ago and even to some extent what we are seeing today… #justsaying