Triple-Checked
IBM

Triple-Checked

An interactive AI experience showcasing Watson's ability to identify data privacy risks hidden within software terms and conditions.

Client

IBM

Year

2017

Type

Interactive Experience, AI Integration, Experience Design

Role

Associate UX Strategy & Design Director

Services

Interactive Design, AI/ML Integration, Experience Design, Live Demonstration

Impact
0K+

Business leaders reached

0

Global conferences

0

Pages analyzed in real-time

Who We Designed For

Business leaders and technology decision-makers seeking to understand AI's practical applications

C-Suite Executives

Business leaders evaluating AI solutions for risk mitigation and compliance

Legal & Compliance Teams

Professionals responsible for reviewing vendor agreements and identifying privacy risks

Technology Buyers

Decision-makers exploring how AI can surface insights from complex documents

239,000+ business leaders witnessed demonstrations across 8 global conferences

The Challenge

Data privacy is paramount, but most people scroll past software terms and conditions assuming they're not worth concern. IBM needed to demonstrate Watson's real-world value in a way that felt personal, immediate, and relevant—turning abstract AI capabilities into a tangible experience.

The Approach

We combined Watson's visual recognition, natural language processing, and machine learning into a personalized, interactive demonstration. The system analyzes thousands of pages of T&Cs from popular apps in real time, extracting privacy-related data, identifying potential risks, and suggesting protective measures—all while the audience watches.

The Outcome

Launched at IBM's Think symposium and toured 7 additional technology and commerce conferences globally. The experience demonstrated Watson's ability to locate significant anomalies within lengthy, complex documents—illustrating how AI can mitigate business risk by uncovering previously overlooked vulnerabilities in digital agreements.