Dicsys AI Sentinel · From AI usage to an evidence-based review
Back to the landing page
AI SentinelReal screenshot
Read the walkthrough as text

Guided demo · AI Sentinel

  1. All AI usage, on a single screen.

    Activity and adoption metrics

    What the screen shows

    Brings together adoption, conversations, files and deliverables.

    What to review

    Identify which part of the team uses AI and what activity it generates.

    Scope of this view: Values come from the reference file, not from a live connection.

  2. From having access to making the most of AI.

    Adoption funnel

    What the screen shows

    Maps the journey from the roster to tool usage and deliverable creation.

    What to review

    Spot where adoption needs support.

    Scope of this view: Values come from the reference file, not from a live connection.

  3. Understand where usage concentrates.

    Team status and consumption concentration

    What the screen shows

    Shows recent activity and share of estimated tokens.

    What to review

    Interpret the distribution based on the team's tasks and context.

    Scope of this view: Values come from the reference file, not from a live connection.

  4. See what AI is being used for.

    Work categories

    What the screen shows

    Groups conversations and estimated tokens by category.

    What to review

    Recognize use cases to share practices and guide training.

    Scope of this view: Values come from the reference file, not from a live connection.

  5. From chat to concrete capabilities.

    Capabilities used

    What the screen shows

    Presents usage of code execution, deliverables, search and connectors.

    What to review

    Decide which capabilities to deepen with the team.

    Scope of this view: Values come from the reference file, not from a live connection.

Back to the solution: AI Sentinel