Organizations that use Cangrade’s AI-assisted hiring assessments are seeing results that include:
Higher Sales ● Elevated customer service scores ● Better safety records ● Lower turnover
Despite organizations' best efforts, most hiring and promotion decisions are still burdened with bias. While data-driven AI models may also be biased, they can be more rigorously controlled through proven scientific methods.
Cangrade’s Bias-Free Guarantee means that every single item, scale, and model we provide has no statistically significant adverse impact on any legally protected demographic group. Going the extra mile to ensure equal opportunities for all, we are continually adding demographic identifiers to our big data sets to extend our bias-free guarantee to additional groups.
Hiring managers in almost every field today are facing an acute shortage of experienced and skilled workers, a shortage that is only expected to grow over time. The only way to fill the gap between supply and demand is by expanding recruiting pools with high-potential candidates that can be trained for the job.
AI success models are designed to pinpoint candidates with a combination of personality traits and soft-skills that indicates a great potential for training – those that are likely to excel at a new position and enjoy a high degree of job satisfaction.Whitepaper: Using the Power of AI to Find Sales Winners
AI is not intended to replace your HR professionals and their valuable expertise. Smart HR organizations use AI solutions to augment their capabilities and provide scale and speed. Using AI-powered pre-hire assessments is a prime example – allowing recruiters to focus their time and skills on the candidates with the highest probability of success.
AI guidance can also be helpful in optimizing employees’ career paths. It is a powerful tool for talent-based promotion decisions that are bias-free and avoid the pitfalls of the Peter Principle – promoting people beyond their level of competence.