---
id: "entity-r-potential"
type: "entity"
entityType: "product"
canonicalName: "r.Potential"
aliases: []
source_timestamps: ["§ Three Necessities", "¶17"]
tags: ["workforce-modeling", "joint-venture"]
related: ["framework-three-necessities", "entity-org-adecco", "entity-org-salesforce"]
sources: ["tail1"]
sourceVaultSlug: "hbr-seg-tail1"
originDay: 1
articleStem: "hbr-tail-112-continually-assessing-performance"
sourceUrl: "https://hbr.org/2026/06/the-pros-and-cons-of-continually-assessing-performance"
sourceTitle: "The Pros and Cons of Continually Assessing Performance"
---
# r.Potential

**Entity type:** product (workforce-modeling venture) · **Role in source:** dynamic human-AI workforce planning example.

A venture from [[entity-org-adecco]] in strategic partnership with [[entity-org-salesforce]]. It uses **global labor-market data, company-specific workforce data, and real-time AI-agent performance data** to generate a dynamic understanding of work distribution — helping leaders model workforce composition and recommend new ways of combining human and AI roles.

r.Potential illustrates how the sensing signals of the [[framework-three-necessities]] can feed a forward-looking planning layer, not just a backward-looking evaluation.