Going into this project, the team at Farpoint entered with a robust grasp of the macro market forces affecting the client but recognized the need for a more nuanced understanding of the internal dynamics within and across their departments. To achieve this, we embarked on a comprehensive data acquisition process, engaging in stakeholder interviews across various levels of the organization. Our approach involved a multi-dimensional analysis of the collected multi-modal data, through which we distilled 20 key problems. For each identified issue, we crafted novel AI proposals, subsequently ranking these opportunities using Farpoint’s AI prioritization matrix. This tool allowed us to model the potential impact of each solution across seven dimensions, ultimately leading us to select the three most impactful solutions. For these, we developed a detailed financial Return on AI (ROAI) model to illuminate the business impact.

In parallel, we conducted an in-depth analysis of workflows, time studies, and experience blueprints, incorporating stakeholder interviews to gain insights into the organization's cultural and infrastructural fabric. These ethnographies were instrumental in understanding the employees' perspectives on internal changes, their expectations, grievances, and the gaps in the current setup.

Building on this groundwork, we integrated the three-horizon framework to strategically architect AI systems that are both interoperable and scalable. This approach involves crafting a forward-looking AI roadmap, which outlines a phased implementation strategy across 1, 3, and 5-year milestones. Our vision extends beyond addressing the client's immediate challenges; it's about engineering resilient AI solutions that are designed to adapt and thrive amidst rapid technological advancements, ensuring they remain relevant and valuable in the dynamic landscape of the next decade.