Phase 1: Diagnosis
An Evidence-Based Approach to Human-Centered AI Transformation
Overview
- Reveal hidden drivers of motivation, creativity, and purpose in everyday work.
- Backed by leading behavioral science, including Self-Determination Theory and motivation research.
- Identify early warning signs of burnout and disengagement across roles and teams.
- Avoid automating the wrong things, and protect what gives your culture life.
- Get a science-based “meaning map” to guide smarter AI, HR, and org design decisions.
Details
Using Julia’s proprietary Meaningful Work Audit, we identify what drives engagement, purpose, and pride in your organization. The audit covers eight core dimensions of meaningful work: purpose, autonomy, mastery, connection, impact, challenge, recognition, and integrity.
Based on psychological frameworks and research (e.g., Self-Determination Theory, motivation science), we explore:
The outcome of this phase is a science-backed map of what makes your work culture thrive, and where AI can support, rather than erode, it. You don’t only learn which tasks to automate to remove drudgery from people’s work, but also — as importantly — what not to automate to make people’s work feel meaningful, and your employees engaged and delivering great results.
Based on psychological frameworks and research (e.g., Self-Determination Theory, motivation science), we explore:
- The tasks and interactions that fuel motivation, autonomy, growth, and belonging among your employees.
- Areas at risk of disengagement or burnout if automated.
- The uniquely human strengths your people bring, and how to protect them.
The outcome of this phase is a science-backed map of what makes your work culture thrive, and where AI can support, rather than erode, it. You don’t only learn which tasks to automate to remove drudgery from people’s work, but also — as importantly — what not to automate to make people’s work feel meaningful, and your employees engaged and delivering great results.