Squaring the Circle
Volker Jacobs
Transformative change and frictionless work in large organizations, enabled by data, AI, and EX.
Why the old promise of HR transformation – more for less – can finally be fulfilled.?
?
For decades, companies were trying to square the circle and deliver‘more for less’. They called it ‘HR Transformation’ or new, ‘P&O Transformation’. The promise: We will provide more business value at lower P&O (People & Organization) function cost. They largely underdelivered – sometimes on the cost side, and often on the business value side. With all the buzz about AI and digitization and in the light of rising expectations for better work experiences, is there finally a way to fulfill the promise of ‘more for less’?
We believe, yes. It resembles a value chain worth testing: With transformation focus moving from ‘process’ to ‘data’, we not only build a data lake that enables better people decisions or free the P&O function from cumbersome manual analyses of people topics. In addition, we can use and need data to train and deploy generative AI. With effective, generative AI, P&O transformations can deliver a better, friction-free work experience for managers and employees. With a friction-free experience for managers and employees, we enable higher productivity and engagement levels. And it goes without saying that with AI taking on P&O tasks we can reduce cost of the function: More for less. Squaring the circle. Three ingredients: Data, AI, and EX.
This is too good an idea to not explore more deeply. Please download the full paper here: https://www.ti-people.com/wp-content/uploads/2024/09/TI-PEOPLE-Paper-Squaring-the-Circle.pdf
Managing Director at TI People | Fueling the EX revolution
6 个月I can think of no better ingredients than data + AI + EX! Now, it all comes down to the proportions, the recipes... a lot of experimentation is to come but I know you will play a big role in helping leaders get it right ;)
HR Systems & Analytics || Workday || Program Management
6 个月Hi Volker Jacobs, the premise of the paper is very interesting. I was hoping to read the full paper but the download link takes me to your meeting booking page ( which I have booked as well ). Would you mind sharing the link again. Tnx
Speaker, Author, Professor, Thought Partner on Human Capability (talent, leadership, organization, HR)
6 个月Volker Jacobs You always have good ideas that have positive impact. Managing transformation through data generated by AI will be another positive move. In the last six months, I have done 4 posts that show the rapid evolution of AI for HR February: overview and potential of AI https://www.dhirubhai.net/pulse/pre-flections-genai-hr-where-go-how-get-dave-ulrich-lvbjc/? ? ? May: four stages of AI and moving to guidance bbbbbbhttps://www.dhirubhai.net/pulse/rapid-evolution-genai-human-capability-from-assist-inform-dave-ulrich-fz9uc/ ? ? June:?criteria for implementing genAI and HR https://www.dhirubhai.net/pulse/how-you-doing-ai-hr-ten-item-assessment-evaluate-your-dave-ulrich-jrxhc/ ? ? August:?AI for high potential leaders https://www.dhirubhai.net/pulse/how-genai-enables-accelerates-development-high-dave-ulrich-lcmkc/ ? More to come as you note!
Managing Director, PhD | Supporting leaders to drive business impact by systemically improving experiences for and with their people | Yacht Sailor | Werder Bremen Fan | Classical Singer & Cellist
6 个月Thanks for sharing Volker! I very much like this article - getting more (EX and business value) for less (effort in HR) really seems feasible if leveraging the new opportunities through data and AI in the right way!
Transformative change and frictionless work in large organizations, enabled by data, AI, and EX.
6 个月I hope that this paper can be helpful for those in my network focused on #data, #AI, and #EX in the context of #HR #Transformation, including: David, Tanuj, Nico, Dave, Josh, Eden, Patrick, Stacia, Robert, Timo, Stephanie, Amit, Arun, Katya, Iris, Wei Lu, Michiel, Per, Christian, Andreas, Bettina, Sabine, Lori, Helen, Frank, Ralph, Christophe, Roland, Verena, Frank, Thijs, Sebastian, Marc, Thomas, Sabine, Christian, Sebastian, Steffen, Sunil, Lars-Olof, Inga, Nikolaj, Sergio, Carsten, Dilip, Elisa, Stephani, Julia, Frauke, Vanessa, Alexis, Roland, Achim, Thais, Svitlana, Katharina, Daniel, Franziska, Daniela, Kai, Jason