Discovery Phase
AI for Enterprise
Designing an AI-powered enterprise tool that revolutionizes how companies explore data-driven solutions.
Focal Areas: Gathering functionality requirements, Exploring information architecture, User flows, Gap analysis & Designing High-level future concepts
❗NDA: To respect Publics Groupe policies, I am limited in the display and discussion of the work publicly and can only write about non-proprietary project and project details❗
Understand
Context
"The goal was to sustain and accelerate Publicis' differentiation by uniquely leveraging AI within their platform organization, data resources (e.g., Epsilon), and extensive knowledge across various industry verticals."
Problem Definition
Among many identified issues, three key areas emerged as clear priorities:
Empowering all industry verticals: How can we create an intuitive experience regardless of the industry being explored?
Data-driven results: How can we effectively extract actionable insights from vast and complex data, tailored to different user levels and disciplines?
Connecting workflows: How can we facilitate seamless end-to-end collaboration across business, creative, and engineering teams?"
Discovery
We uncovered valuable insights through usage data, inventory analysis, and user interviews, identifying five key areas:
Insights & strategy
Media planning
Creative & production
Software development & operations"
These adjustments aim to streamline the text for clearer understanding while maintaining the original intent and structure of your message.
Gain confidence
Ideate + Iterate
We focused on defining the role of "Insights" within the ecosystem, alongside the other four key areas.
Collaborating with my lead and team, I sketched out various interaction models for desktop interfaces to explore how Insights could integrate and enhance the other key areas.
We evaluated each concept, weighing their pros and cons, and swiftly converged on a hybrid model. This model not only supports the other focus areas effectively but also aligns with the overall requirements of CoreAI.
Polish
In addition to refining high-level designs, I led discussions on how Insights could evolve within CoreAI.
These discussions underscored Insights as a fundamental pillar of the user experience and guided product definition, aiding engineers in scoping the build.
Results
The project's success positions Publicis as a leader in delivering AI-driven results for their clients, and as it continues to roll out to the public, this leadership will be further solidified.
Media
"…Engineering work on CoreAI began in the second half of 2023, and Publicis plans to roll out some capabilities in the first half of this year. It’ll also be present in May at the annual VivaTech conference in Paris" - digiday
"…with +6.3% organic growth for the full financial year.The agency network, which owns Saatchi & Saatchi, Leo Burnett, Sapient, Epsilon and Starcom, made $14,276 million (13,099 million euros) during the last financial year, an achievement it already aims to beat with the introduction of CoreAI, its centralized tool that will allow its 100,000 employees access to the business enterprise capabilities." - adweek
"The AI updates, announced today, have already boded well. Publicis Groupe’s stock price closed today at a record high of €92 per share, up from €88.76 a day earlier." - adage