Tanium AI: Assessment in Guide
Designed and launched AI-powered assessment for Tanium Guide — enabling IT and security teams to instantly understand, act on, and share any Guide notification using a single click, powered by Tanium Ask.
Tanium AI: Assessment closes the gap between being notified about something and knowing what to do about it.
The problem
Tanium Guide surfaces notifications about new features, security observations, and community articles. But understanding how a notification applies to a specific environment — what actions are required, what deadlines exist, what risks to watch — typically means leaving the Console, reading full articles, and piecing things together manually. For large IT and security teams, that friction compounds across every notification.
What we built
A one-click AI assessment capability embedded directly in Guide. When a user clicks Assess on any notification, Guide opens Tanium Ask, retrieves the linked content, and synthesizes it into a structured, actionable summary. Key design decisions:
- Structured output — deadlines, constraints, risks, and next steps are extracted into their own sections so critical details are never buried
- Navigation paths — summaries include specific actions and Console navigation paths so teams can move from awareness to execution without additional research
- Built for sharing — summaries can be copied as rich text or exported as formatted PDFs, ready to attach to change requests or share with stakeholders
- Follow-up questions — suggested prompts at the bottom of each summary allow teams to go deeper on any topic without leaving the workflow
Impact
Shipped to Tanium Cloud customers where Tanium Ask is enabled. Reduces the time between receiving a notification and taking action on it — and makes that action shareable, so knowledge doesn’t stay siloed with the person who happened to read the article.
What I learned
The PDF export feature came directly from customer research. Teams weren’t just trying to understand notifications for themselves — they were trying to communicate them to stakeholders and attach them to formal change processes. Building for the downstream use of information, not just its consumption, changed how we thought about the whole feature.