HeyJaredAdnan Masood
- Indexed articles, last 90 days
- 3
- Latest publication
- Sep 28, 2026
- Outlet visibility, for InfoWorld
- Top 500K sites
- Earliest in this view
- Aug 17, 2026
Latest articles
AI ROI beyond pilots: Measuring outcomes in production (opens the original)
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Generative AI pilots often look successful. Teams collect positive feedback, the tool sees steady usage, and the organization expects a fast path to scale. ROI discussions start with time saved and end with a request for more use cases. That pattern leads to disappointment when production costs and adoption realities appear. I treat ROI for generative AI as a measurement problem with clear boundaries. ROI is the net value delivered by a workflow over a defined period, with full life-cycle costs
Governance by design: Turning AI policy into executable controls (opens the original)
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Governance determines whether a generative AI program remains a set of pilots or becomes a durable capability. I treat governance as engineering work. The goal stays simple. The system should behave within policy, every day, under change. I define governance by design as the practice of encoding policy into build and runtime controls that enforce access, constrain actions, capture evidence, and measure drift. Policies become executable rules. Evidence becomes a byproduct of normal operation. Tea
Agentic AI in the enterprise: How to balance autonomy with constraints (opens the original)
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Enterprise teams are moving from chat-based assistants to systems that can take actions. I see the shift in how people describe the work. They ask for an assistant that can write code, file tickets, update CRM records, run a compliance checklist, generate a pull request, and follow through on the next step. That shape of work requires an agentic system. I define an agentic system as software that turns a user goal into a sequence of steps, executes those steps through tools, keeps track of what
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Top 500K sites
For InfoWorld, the outlet · Measured Aug 1, 2026
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