The Challenge
Every year, large companies are managing thousands of opportunities and contract with expected revenue in the billions. Unfortunately expectation does not meet estimation due to the risk complexity and risks of critical contracts. This is, in part, due to the large volumes of projects to assess and control, and the existing non-systematic assessment process. Quality Assurance Directors (QADs) are responsible for identifying and managing risk within large portfolios of projects.
Fjord worked together with Accenture Labs and Liquid Studios to help articulate, explain and visualise the complex Machine Learning outputs to provide quick insights to Quality Assurance Directors using the tool. The Fjord team was made up of myself, working as design lead, and Eoin who is a Data Designer. I was responsible for the UX/UI design and managed the development and delivery of the proof of concept tool. I was also involved in communicating the results to stakeholders and pitching the concept to new clients across multiple industries.
What was Involved
The Integrated Risk Management Tool manages, predicts and understands the risk of all projects and infers which projects to assess, when to apply corrective actions and also provides explanations of their expected impact.
Explore
The fjord team explored different ways of effectively presenting new insights hidden amongst large complex data sets. We focused on highlighting contracts which need immediate attention and presenting and explaining the key information to increase the efficiency and effectiveness of the QAD’s.
Explain
We worked with the technical experts to understand the complex workings of their Machine Learning algorithms so we could effectively communicate this so users can understand and appropriately trust the tool.
Take action
Proactively recommending actions to mitigate the the risk was a key part of the value proposition. The fjord team worked on designing an interactive element to help the QAD understand the risks and benefits of these recommendations.
Outcomes
The resulting tool provides the QAD with a visualization of their entire portfolio, highlighting the riskiest projects and those with potential recovery strategies. The visualization explains how the AI works allowing the QAD to assess its accuracy and relevance on a case by case basis. The efficiencies gained by this tool allows us to increase the number of project reviewed and lower risk for the enterprise.
- We developed custom data visualizations to effectivity communicate the complex predictions, explanations and actions output by the Machine Learning algorithms.
- We created a working prototype to demonstrate the AI capabilities and bring Accenture Labs magic to life.
- We increased our knowledge and understanding of AI and key aspects to consider when designing for AI.