Accuracy costs. Asking for more accurate information from an organization comes with a price tag. Executives often underestimate the cost of accuracy and are not provided with a proposal outlining the associated costs. A case study is presented where an executive asked for a more accurate backlog report, which led to multiple meetings, calls, and emails to gather the necessary information. AI can provide fast and accurate responses to queries, but it also comes with a cost. Achieving higher levels of accuracy requires more work. keywords accuracy, cost, organization, executives, proposal, forecasting, backlog, operations team, sales leaders, meetings, calls, emails, AI, natural language query, automation takeaways Asking for more accuracy from an organization comes with a cost that executives often underestimate. AI can provide fast and accurate responses to queries, but it also comes with a cost. Achieving higher levels of accuracy requires more work and resources. Executives should be provided with a proposal outlining the costs associated with accuracy. Consider the trade-off between accuracy and cost when demanding information from your team. titles AI and the Cost of Accuracy The Cost of Accuracy in Organizations Sound Bites "Accuracy costs" "Accuracy always costs" "The last 20 % of accuracy requires the bulk of the work" Chapters 00:00 The Cost of Accuracy 01:00 The Example of Forecasting 02:24 The Hidden Costs of Accuracy 03:49 The Ripple Effect of Accuracy Demands 04:42 AI and the Cost of Accuracy 05:10 Achieving Higher Levels of Accuracy