AI + workforce management
Designing AI assistance that helps managers act, not just find information.
An AI-assisted workforce experience that helps frontline managers understand complex situations, evaluate recommendations, and act, with human judgment kept in control.
Challenge
Reduce the cognitive effort of everyday workforce decisions without removing manager judgment.
My role
Principal Product Designer
Product strategy · UX research · Interaction design · AI experience design · Prototyping · Validation
The challenge
Frontline managers moved between scheduling, attendance, staffing, and employee-management tools to understand what was happening and decide what to do next.
The opportunity wasn't to add AI. It was to reduce the complexity of these decisions without removing manager judgment or surfacing recommendations managers couldn't trust.
My role
Partnered with Product and Engineering to define the product vision, conversational interaction model, AI-assisted workflows, and responsible-AI principles. Led research, interaction design, prototyping, and validation.
Key decisions
01
Instead of asking where AI could be added, we started with the workforce decisions managers struggled to make and the context they needed to make them confidently. Assistance was designed around those moments of judgment rather than treated as a feature looking for a use case.
02
Rather than creating a separate AI destination, we explored how assistance could appear within the workflows managers already used. Guidance could surface at the moment a decision needed to be made, reducing the need to leave the task or search across multiple experiences for context.
03
Guidance needed to do more than recommend an action. A “How Bryte got this answer” view showed what required attention, why it mattered, and the supporting context behind the answer — the intent inferred, the agents consulted, and the sources used. Managers could judge the fit before deciding, and the final decision stayed with them.
The solution
The resulting experience brought workforce context, guidance, explanations, and actions into a shared decision workspace. Managers could understand what required attention, explore why it mattered, review supporting information, and decide what action to take — while remaining in control of the final decision.
01
Relevant workforce information, guidance, and actions come together around the decision the manager needs to make.
02
Supporting context helps managers understand why something needs attention before deciding what action to take.
Impact
Validated
AI assistance directly within manager workflows.
Simplified
Complex workforce information into guided decisions.
Aligned
Product, design, and engineering around an AI interaction model.
Foundation
Reusable patterns for explainable, human-controlled AI.
The goal wasn't to automate the manager. It was to give managers better context, clearer guidance, and faster ways to act, while keeping the decision in their hands.