Reejig launches world’s first AI-driven Work Ontology™

Generative AI and proprietary Ethical AI power a responsive, unbundled view of work, skills, and capabilities. Enterprise AI infrastructure for how work actually runs.

Today at the UNLEASH America conference, Reejig announced its new Work Ontology, which unbundles traditional job architectures to atomized components. Skills required. Tasks and task adjacency. Requirements. Time allocated. Reejig customers now achieve their workforce optimization goals with personalized, actionable, real-time insights. These insights support the redistribution of work to the most efficient and innovative resources. They support emerging work technologies and automation. They match employees, candidates, and contractors to meaningful careers.

As work evolves into a combination of jobs, projects, and gigs, companies must have the infrastructure to unbundle work. They must optimize the allocation of tasks to workers. This includes full-time, part-time, gig, internal, and external talent. It also includes agents powered by generative AI.

In a report, Goldman Sachs' economists estimate that roughly two-thirds of U.S. occupations face some degree of automation by AI. Of those occupations, roughly a quarter to half of their workload could be replaced. Not all that automated work will translate into layoffs. According to the report, "Although the impact of AI on the labor market is likely to be significant, most jobs and industries are only partially exposed to automation and are thus more likely to be complemented rather than substituted by AI."

The Reejig Work Ontology addresses the limitations of traditional enterprise systems. Those systems have long been based on job titles and jobholders. They lack visibility into the true skills and potential of their employees. It is responsive and dynamic by nature. It continuously extracts and infers from the most comprehensive data set in the industry. It creates highly intelligent common language and insights around each organization's work.

Every enterprise is deploying AI. Almost none can see the work they're deploying it into.

The Reejig Work Ontology, when used alongside the Reejig Skills Ontology, allows organizations to:

• Gain 100% visibility of their workforce's skills and potential
• Understand all the work that exists within the organization and the requirements for success
• Break down work into skills required, tasks, requirements, and time allocated
• Efficiently allocate work to alternative workers, contractors, alumni, or agents
• Embrace workforce automation and achieve workforce agility and optimization at scale

By understanding the relationships between detailed job components and people's competences, experience, education, passions, and preferences, the Reejig Work Ontology produces groundbreaking business results:

• Greater workforce agility: Deconstructing jobs allows for more flexible and adaptive work arrangements. Organizations quickly adjust to changing market conditions. They take advantage of new opportunities.
• Increased productivity: A detailed view of complex tasks breaks them into smaller, more manageable pieces. Workers focus on areas where they excel. This leads to higher-quality output and faster completion times.
• Enhanced employee engagement: Employees gain more control over their work. They work on a wider variety of tasks. This increases engagement and job satisfaction. It reduces turnover rates and builds company loyalty.
• Cost savings: A detailed and relational view of work and skills across the organization removes unnecessary roles or functions. It reduces inefficiencies and redundancies.

The Work Operating System is powered by the world's first independently audited Ethical AI. Its algorithms and models comply with global regulations on equal opportunity, anti-discrimination, anti-bias, and human rights. All recommendations are based solely on skills and potential. Not personal characteristics. Each customer's Work Intelligence delivers gender-balanced shortlists. It provides diversity signals on candidates. Organizations hire and mobilize talent inclusively and fairly.

"We really saw a need from business leaders to have an actionable and achievable pathway into this future way of thinking, one that not only reduced administrative burden for their operations and people teams, but also one that they can trust will help make the most ethically sound decisions and build a world-class experience for their people." - Savage

To see the Work Operating System in action, book a demo. Follow us on LinkedIn.