Leading fast-paced AI innovation in construction

Leading fast-paced AI innovation in construction
Leading fast-paced AI innovation in construction

AI-enabled tools for construction operations

AI-enabled tools for construction operations

AI-enabled tools for construction operations

My role:
Ideation
UI Design
Product strategy
Leadership
Design Oversight

Certain details have been omitted to respect confidentiality.

Busines impact

Busines impact

In late 2024, I led UX strategy and execution for two AI-enabled internal tools at a leading engineering and construction firm. The work introduced practical, trust-centered AI experiences into daily operations—helping teams access institutional knowledge faster and identify insurance compliance gaps more efficiently, while laying the foundation for broader agent-based automation.

Core Features

Some of its keyfeatures
Core Features

Andi, an AI coworker

Andi, an AI coworker

Andi is an internal AI initiative designed to support over 14,500 employees through a suite of specialized agents. Each agent focuses on a specific task—such as extracting insights from internal documents, verifying resumes, or supporting project staffing decisions. We launched with three agents and received strong early feedback, validating the model before expanding further.

Some of its keyfeatures

AI-driven COI verification

AI-driven COI verification

This tool automates the verification of vendor certificates of insurance against contract requirements—a process that previously took hours or days and often required follow-ups. The initial design focuses on streamlining verification and surfacing compliance gaps, with future plans to introduce agentic workflows that proactively manage supplier communication.

Some of its keyfeatures

The challenge

The challenge

Both initiatives began with limited direction and tight timelines. Key challenges included:
  • Designing AI experiences that balanced speed, accuracy, and trust
  • Integrating into existing operational workflows
  • Managing long-running AI processes without creating confusing or opaque user experiences
  • Maintaining visual and interaction consistency with previously launched internal tools
To move quickly, I aligned with engineering on continuing to use Material Design, while supplementing it with DaisyUI to accelerate delivery and cover gaps where Material patterns fell short.

Outcome

The work delivered usable AI tools that demonstrated immediate operational value while establishing clear design patterns for future AI initiatives. These foundations enabled the organization to move from experimentation toward scalable, agent-based AI experiences embedded in real workflows.