Presented by Google Cloud
Ignoring agentic AI’s potential, particularly its demand for modernized data infrastructure, carries the same existential risk that faced retailers who ignored the internet. The question isn’t whether to invest, but how to ensure those investments translate into measurable, real-world payoff. But measuring tangible return on agentic AI investment can feel elusive. So how should you position yourself for the agentic AI future, while also ensuring measurable successes along the way?
Get clearer about what you’re aiming for
This is a crucial moment for enterprises to move beyond the tinkering phase of AI. The era of experimenting for experimentation’s sake is over. Today’s models are powerful, but their value depends on the clarity of the outcomes they’re meant to achieve. Without a sharp understanding of business objectives, even the most advanced AI capabilities risk becoming expensive science projects. It’s time to get precise about what success looks like, and build towards it deliberately.
For instance, agents now manage governance, orchestrate pipelines, accelerate onboarding, and enhance customer engagement. Some benefits are easily quantified, like a 15% lift in marketing conversion or a 40% drop in onboarding time. Others are more structural, such as optimized resource utilization and the elimination of redundant tools. When starting out, determine what use cases make the most impact in the least amount of time, and build from there.
