Synthèse
Mercedes-Benz’s story is a powerful example of what AI can do at an enterprise, organization-wide level instead of just at an individual productivity level. And for AI to work effectively at that organizational level, it requires three things. The richer the context you can provide, the better the result. If you ask an AI tool to help you prepare for a meeting with a specific client, it needs to understand how decisions have been made for similar customers in the past, the current state of the r
Mercedes-Benz’s story is a powerful example of what AI can do at an enterprise, organization-wide level instead of just at an individual productivity level. And for AI to work effectively at that organizational level, it requires three things. The richer the context you can provide, the better the result. If you ask an AI tool to help you prepare for a meeting with a specific client, it needs to understand how decisions have been made for similar customers in the past, the current state of the relationship, and your team’s goals. AI becomes truly valuable when it doesn’t just answer questions but participates in workflows.
Generating a weekly status update, creating a page, notifying stakeholders, or triaging an incoming ticket are all examples of actions that free people to spend their time on higher-value work. When AI is taking actions on your behalf, you need to be confident that it honors your organization’s permissions and privacy policies. If a user doesn’t have clearance to see a particular Jira ticket, the AI shouldn’t know it exists either.