AI strategies often start with identifying use cases. But at AGENTIC, we emphasize that true enterprise impact comes not from the use case, but from the use value. That shift is at the heart of a practical playbook for AI deployment.
Identifying opportunities for AI, whether it’s automating customer support, improving logistics, or enhancing fraud detection, is just the starting line. As we explored in From Use Case to Use Value, the real differentiator is whether those projects generate measurable value for the business, customers, and stakeholders.
A playbook for practical AI must ensure that deployment isn’t just technically feasible, but economically meaningful. That means embedding metrics and KPIs from the very beginning.
For example:
In operations, AI must not just optimize workflows, but improve scalability and cost efficiency.
In CX, AI must deepen engagement and trust, not just reduce response time.
In risk, AI must proactively prevent compliance failures, not just monitor them after the fact.
Enterprises moving too quickly risk deploying AI that looks exciting but adds little long-term value. Enterprises moving too slowly risk being left behind. Practical AI deployment requires balancing innovation with measurable returns—something leaders at AGENTIC are actively tackling today.
At AGENTIC, October 27–29 in Arlington, VA, we’re gathering enterprise executives to share frameworks for turning use cases into use value. You’ll gain access to case studies, strategic insights, and actionable playbook elements to bring back to your team.