AI Is Working. Now It Needs to Be Part of How Work Gets Done.
We recently read Jared Spataro’s LinkedIn post on how organizations can unlock the full value of AI. As Chief Marketing Officer (CMO) of AI at Work at Microsoft, he is close to how this is playing out in real environments, and his point reflects what many organizations are seeing as they scale AI. The technology is working, but the biggest opportunity lies in fully aligning it with how work actually flows across systems and teams.
That same thinking carries through in a recent Harvard Business Review article he co-authored with Karim R. Lakhani of Harvard Business School and Jen Stave of OPENLOOP. The article, based on organizations already well into their AI efforts, makes a practical point. AI is already improving individual tasks, and it creates far more value when it can operate across the full workflow.
Why Progress Feels Uneven
Organizations are already seeing real results from copilots, automation, and analytics embedded across their systems. These tools are improving speed, accuracy, and day-to-day decision-making, which is why adoption continues to move forward quickly. At the same time, those gains often stay within individual steps. When workflows are left as they are, AI operates within those boundaries, improving parts of the process without always carrying those improvements through to how decisions move across the business or how outcomes come together.
Letting AI Work Across the Whole Process
The next step is not adding more tools. It is making sure AI can move through the full process from start to finish. Organizations seeing stronger results are taking a closer look at how work is structured and making practical changes to enable it. This includes connecting data across systems to ensure it is available when needed, reducing handoffs to preserve context, and enabling real-time decision-making with AI support. These are straightforward improvements, but they make a meaningful difference in how work flows.
Turning Progress Into Real Momentum
The point coming through from Jared Spataro and his co-authors in Harvard Business Review is straightforward. AI is ready to deliver more value than most organizations are currently getting from it. When work is structured to allow intelligence to flow through it, results become more consistent, decisions are made with better context, and processes run more smoothly across teams and systems.
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How Queue Associates Approaches This
At Queue Associates, we are working with clients today. As a global Microsoft Solutions Partner in business for more than 30 years, we help organizations move from individual AI use cases to a more connected way of operating. Across Microsoft Dynamics 365, Microsoft 365, Azure, Power Platform, Fabric, and Copilot, the focus is on bringing systems, data, and workflows together so AI becomes part of the environment. When that happens, it supports decision-making as it happens, improves visibility across processes, and reduces the friction that slows teams down. In many cases, the technology is already in place, and the difference lies in how well it is connected and how well the surrounding processes support it.
Take the Next Step
AI is already making a difference. The next step is to ensure it works across your business, not just within individual tasks.
Queue Associates works with organizations to identify where that opportunity exists and how to move forward in a practical way. If you are looking to connect your systems, streamline your processes, and get more value from AI, we are ready to help start that conversation.
