Overview

AI Remediation is a centralized tool in Cisco CX Cloud that leverages artificial intelligence to streamline the process of identifying, prioritizing, and resolving IT vulnerabilities. The tool offers users an efficient and guided debugging experience, helping them fix security issues with unprecedented speed and accuracy.

My role

I led a junior designer and design intern to successfully complete this project under a senior manager's guidance, focusing on defining use cases to address user challenges, creating user flows, and designing the UI & UX for the AI Recommendations feature.

Problem

Opportunity

By integrating AI-driven remediation, Cisco could:

How We Use AI?

Features / Solutions

Prototype

Impact

• Consolidated Experience: By integrating security advisories, impacts, and recommendations into one CX Cloud section, users no longer have to switch between platforms. This has reduced the average time spent on vulnerability content by 40% and significantly boosted work efficiency.

• Self-Sufficient Resolution: Over 36% of users can now solve problems independently without opening a case or contacting support.

• Improved Understanding: 65% of users report that AI assistance clarifies system vulnerabilities, enabling them to describe issues more effectively when seeking further help.