O.C. Tanner, the global authority for strengthening organizational culture through meaningful employee recognition, has officially announced the launch of its latest brainchild called Culture Intelligence, which is a suite of innovative AI-enabled tools, available within the company’s Culture Cloud platform, a suite designed to elevate workplace cultures.
According to certain reports, the stated solution draws its basis from a model that has been trained by years of workplace culture research and deep recognition data. Leveraging that, it is able to surface smart insights in the context of a specific organization’s culture and employee experiences.
Talk about Culture Intelligence on a slightly deeper level, we begin from its Recognition Coach. This Recognition Coach is essentially a GenAI solution capable of providing real-time micro-coaching to help employees communicate and recognize each other better. More on the same would reveal how the technology is well-equipped to analyze more than 100 million recognition moments. Alongside that, it can also deliver at your disposal an instant brand of feedback to eventually improve recognition messages. With 81% of the early users applying its suggestions, the tool can be expected to enhance inclusivity, reduce bias, and boost the impact of recognition. The stated Recognition Coach was markedly built by O.C. Tanner Institute’s data experts.
Anyway, next up, we must dig into the new suite’s My Circle tool, which basically leverages machine learning to identify all the people an employee is informally connected to within the organization, and therefore, recommend a unique and relevant list of people to follow. You see, by surfacing meaningful recognition opportunities, such a tool is likely to promote career anniversary celebrations, increase personal notes, and deepen connections within teams.
“When we set out to integrate AI into Culture Cloud, we were deliberate in creating a model that would be both scalable and user-friendly, empowering users to enhance their natural capabilities rather than replacing them,” said Steve Fairbanks, CTO at O.C. Tanner. “By designing this solution on a purpose-built model, enriched by years of our research in workplace culture and recognition data, we’ve enabled users to refine their recognition skills and boost effectiveness. The initial rollout of Culture Intelligence has been promising, and I’m excited for what’s to come as we continue to expand our AI-enabled products.”
Moving on to Culture Intelligence’s Dashboard technology, it brings forth an ability for managers and leaders to visualize the link between recognition and retention, a feature which the solution supports by showing how many employees are at risk of leaving based on the recognition they’ve received. A feature of this sort, like you can guess, will go a long distance to help teams recognize colleagues before they feel undervalued, thus reducing turnover costs.
Finally, our last piece of highlight is rooted in the suite’s smart notifications. These notifications are understood to rely upon algorithms and automated reminders to encourage employees to recognize one another, whereas on the other hand, leaders can be notified to take action when direct reports haven’t received recognition. Furthermore, employees also receive notifications based on their activity within the platform.
Founded in 1927, O.C. Tanner’s rise up the ranks stems from being a global leader in software and services that improve workplace culture through meaningful employee recognition and other culture-building experiences. The company’s credentials in and around its focal point can be gauged once you consider it currently employs well over 1,600 programmers, researchers, designers, client professionals, and craftspeople, who all hail from 58 countries and speak 62 languages.
“Culture Intelligence is about applying technology to empower people,” said Scott Sperry, CEO of O.C. Tanner. “Our recently launched AI Recognition Coach is designed to provide in the moment coaching that makes people better, more confident recognizers. By applying our research and unique access to tens of millions of data points specific to recognition we can support people with instant feedback to improve inclusion, reduce bias, and improve the meaningfulness of employee recognition.”
