As organizations increasingly implement agentic AI, it is crucial to move beyond anecdotal evidence of productivity gains to establish measurable business value. Decision-makers need to focus on metrics that reflect real business outcomes, such as reducing cycle time in processes and enhancing customer experience through personalized service. For instance, agents capable of cutting claims processing time by 40% or reducing security incidents by 60% are examples of metrics that resonate with business objectives.
Additionally, implementing a phased rollout of agentic AI allows organizations to improve internal confidence and minimize risks. The first phase could focus on automating internal processes, followed by enhancing core business functions before finally leveraging agents for strategic differentiation and new business models. This structured approach helps in gradually unlocking the exponential value of AI, culminating in transformative operational efficiencies and novel services.
Successful adoption of agentic AI also requires the CIO to articulate its long-term strategic significance to the C-suite. By framing AI as a key enabler of corporate objectives and illustrating the exponential returns of coordinated agents, CIOs can effectively position themselves as strategic partners rather than cost centers. Proactively addressing concerns around governance and showcasing agent capabilities through live demonstrations will further strengthen buy-in and foster a culture of innovation within the organization.
👉 Pročitaj original: CIO Magazine
