ProHance launches AI Adoption Index tracking workplace technology usage
Operations software developer ProHance released its AI Adoption Index scorecard helping corporate executives evaluate employee compliance and productivity metrics from approved artificial intelligence software
ProHance, a platform utilizing AI for productivity, has introduced the AI Adoption Index. This AI realization scorecard is designed to assist enterprises in tracking and validating their AI usage within approved tools, ensuring that it is being applied to actual work and delivering actual value. Recent data has highlighted a growing concern regarding unmanaged AI use, with 43% of data breaches in 2026 attributed to shadow AI - AI tools used by employees without IT approval, a significant increase from 20% in 2025.
Furthermore, 92% of organizations experiencing AI-related security incidents lacked adequate AI access controls.
While enterprises can typically monitor AI usage and frequency, they often lack insight into whether this usage is authorized, whether it is applied to real work, and what results it generates. The AI Adoption Index enables leaders to map AI usage across teams, measure which teams are lagging in adoption, and detect shadow AI to maintain a continuous audit log.
Traditional usage analytics only track activity, while governance and security tools manage approval and expenditure but fail to reveal whether AI is altering work procedures. The AI Adoption Index consolidates these three perspectives into one comprehensive view for every AI tool and team.
Ankur Dhingra, CEO of ProHance, emphasized the platform's mission to clarify AI's impact on the workforce. By gauging the real-world effects of AI in collaboration with human efforts, ProHance aims to guide leaders in reskilling and restructuring their workforce through AI. The AI Adoption Index provides leaders with knowledge about the tools used, their extensive application, associated costs, and instances of unauthorized AI deployment, all assessed directly from the work itself. This allows organizations to determine the appropriate course of action.
The Index builds upon ProHance's recent launch of its outcome measurement layer for Outsourcing Performance Management (OPM), offering enterprises independent proof of the deliverables provided by outsourced and contingent teams. Both initiatives focus on enhancing transparency for enterprises, enabling AI-ready organizations to enhance outcomes from their workforce and AI integration.
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