designing a human-centered AI assistant for prideMobility365

Nov 2025 – present

I designed AI experiences that help users make confident decisions in complex, high-risk environments by combining intent-driven interactions, multimodal UX (voice, chat, UI), and trust-first design principles.

Turning Complex Enterprise Workflows into Confident Decisions

PrideMobility365 is an enterprise B2B platform used by providers, dealers, and administrators to manage parts search, quotes, approvals, orders, and fulfillment workflows.

Enterprise ecosystem across roles and workflows

These workflows are high risk. Wrong actions can create financial loss, compliance issues, or irreversible transactions.

The Core Problem

Users needed meaning, risk interpretation, and safe next step guidance.

Why AI - And Why Now

The problem was not missing information. The problem was decision confidence.

Intent Understanding

Context Guidance

Just in Time Explanation

Enterprise AI Architecture — Azure OpenAI

AI is used as a reasoning and explanation layer — not system of record.

All enterprise data comes from secure system sources. AI explains — UI confirms.

Core AI UX Design Principles

Intent Driven - Design for user outcomes, Wayfinding - Show state and next steps,
Information Scent - Show outcome risk before action, Trust by Design - Visibility, Explainability, Control

AI UX Pattern Framework

Governors(gaurdrails) - Prevent risky actions, Wayfinders - Guide forward,
Trust Builders - Reduce anxiety, Tuners - Improve through usage