Organizations exploring AI assistants like Anthropic’s Claude, Microsoft Copilot, and OpenAI’s ChatGPT often grapple with justifying their costs. Traditional metrics like time saved and adoption rates don’t capture invaluable dimensions of capability expansion. At Thomson Reuters, we developed a new framework assessing AI value through three key dimensions:
- Time Saved: Enhanced measurement allows users to categorize time savings, yielding actionable insights on project efficiency.
- Time Multiplier: This evaluates work volume capacity, highlighting how AI enables teams to handle significantly more tasks, expanding workflow efficiency.
- Skill Multiplier: We quantify capability expansion by assessing whether users can perform tasks beyond their formal skill levels, revealing substantial increases in specialist-level work output.
This holistic approach shifts the focus from mere efficiency to the empowering potential of AI, transforming the conversation around ROI. Organizations leveraging this framework can make informed decisions and optimize AI investments, ultimately unlocking new opportunities.
