Workflo AI
Innovating AI Guided Back Office Workflows
At a glance
Led design for Transflo's AI workflow engine, which automates repetitive back-office logistics work for carriers, brokers and shippers.
The challenge
Back-office logistics work is repetitive and error-prone, and varied users and edge cases made automation hard to design well.
What I led
Led the design team and partnered with the Core AI and Broker AI product heads through research, journey mapping and low- to high-fidelity prototyping to define how AI guides each workflow.
The outcome
A validated, team-aligned automation experience that cuts manual effort and improves accuracy across Transflo's platform.
Overview
Transflo Workflow AI is an intelligent automation engine designed to streamline complex logistics workflows across the transportation and supply chain ecosystem. By leveraging AI and machine learning, it automates repetitive tasks, predicts next steps, and dynamically adapts to operational changes—reducing manual effort and increasing efficiency. Integrated seamlessly into Transflo’s platform, Workflow AI empowers carriers, brokers, and shippers to accelerate processes, improve accuracy, and deliver better outcomes at scale.
Services
Product Vision, UX Best Practice, Process Direction, Problem Statement breakdown, Product Design, Motion Design.
Client name
Transflo
Team
Head of Product Design (John Karl), Lead Product Designer (Jake Cummings), UX Researcher, Head of Product Core AI (Brian Sowul), Head of Product Broker AI (Charlie Rust), Product Manager (Jordan Rose), Jr Product Manager (Dani Cast), SME's, Stakeholders
Real-Time Dynamic Dashboards
Customizable dashboards provide up-to-the-minute insights on document processing volume, exception patterns, aging tasks, load-to-document completion ratios, and team leaderboard rankings—empowering users to monitor operations at a glance and address bottlenecks swiftly.
Exception & Anomaly Detection
AI-driven anomaly detection flags inconsistencies—such as missing data, mismatched fields, or duplicates—and surfaces them dynamically for fast exception resolution.
Age-Based Grid Views
Aging task reports visualized via interactive grid views allow rapid identification of overdue or stalled documents, helping prioritize urgent actions.
WFAI
Final observations
Collaboration and strong team processes played a critical role in driving innovation within the Workflow AI (WFAI) product. Diverse perspectives, real-world challenges, and edge use cases initially presented obstacles—but were successfully addressed through a committed, well-aligned team that shared a deep passion for both the process and the product.
From early research and journey mapping to low- and high-fidelity prototyping, the team engaged in everything from client innovation labs to stakeholder reviews. This collaborative approach not only led to the product’s success but also positioned it as a transformative solution within the industry. With a robust backlog of forward-thinking features, WFAI continues to evolve. Ultimately, the team’s dedication translates into wins for the end users.
John Karl
19 Years • Product & UX Design Leader Leading Mobile Product for 500K+ Users
If you like what you see or have any questions, feel free to send me an email anytime.
Selected work
[2010 -2025]
