Companies know that they can’t afford to be laggards when it comes to AI. AI FOMO is still very much high. But that doesn’t preclude from asking questions like “what value is AI truly generating for my business?”, “how can I measure AI ROI?”.
For quite some time, measuring AI success was about “tokens used” or “chatbots deployed”. But this is changing.
Smart companies are now tracking a new, high-impact currency: the agentic work unit (AWU) and reclaimed time.
Instead of counting raw data outputs, forward-thinking organizations are calculating the exact hours of tedious labor automated and the costly human errors averted.
Think, For example, of an AI agent that cuts a compliance review from 4 hours to 10 minutes while dropping error rates by 60%. That represents a massive injection of human capacity and risk reduction back into the business, not just a tech upgrade.
AI success should be measured in terms of how much a true workforce multiplier: it’s not about how much does AI costs, but how many work units it successfully completes.
