Aligning AI Strategy With Workforce Infrastructure for Measurable Value at Scale
The New Enterprise AI Reality:
• AI investment focuses on cloud and data centres, while systems and endpoints lag.
• Employees use AI tools on devices not built for them, limiting value.
• Scaling AI requires balancing productivity, security, governance and modernised infrastructure.
The challenge is no longer about adopting AI, but about building secure, AI-ready infrastructure that delivers scalable productivity, efficiency, and business value.
“The organisations that gain the greatest value from AI will be the ones that prepare their workforce infrastructure for it first.”
-OpenGov
AI is shifting in Indonesia from experimentation to business performance, with a focus moving from data centres to workforce infrastructure.
AI with edge capabilities boost productivity and automation at the endpoint. As adoption grows, organisations must balance innovation with security, making edge AI essential.
The next phase of AI in Indonesia will be won by organisations that modernise workforce endpoints to deliver measurable productivity gains while strengthening security and governance at the device edge.
How Leading Organisations Are Responding:
• Productivity at the Endpoint: Enable AI-powered workflows through AI-ready devices and on-device acceleration.
• Security, Governance and Privacy: Apply policy, control and data protection closer to where AI is used via edge AI capabilities.
• Hybrid Infrastructure Readiness: Extend AI from cloud and data centres to endpoints across cloud, on-premises and edge environments.
Without an AI-ready infrastructure, organisations risk scaling AI faster than they can secure or govern it, increasing inefficiency and exposure. The next phase of AI will depend on secure, intelligent workforce environments at scale.
Key Outcomes for Enterprise AI Leaders:
REFRAME AI from experimentation to measurable productivity and business impact
BALANCE innovation with securit