Cavatim AI data-use statement for planner recommendations and agents

AI feature scope

Cavatim uses AI to assist with planning, summaries, reflections, task predictions, goal decomposition, and agent-drafted schedule changes. AI outputs are advisory and the user remains responsible for decisions.

Planner context AI may use

• Goals, deadlines, planner blocks, recurring tasks, workflows, preferences, capacity signals, reflections, journal entries, and notepad context selected by the product flow.
• Connected calendar or mailbox context only when the user has connected that provider and the feature needs that context.
• Support trace and diagnostic context only when the user submits a support request or audited workflow that includes it.

AI data limits

• AI helpers must not intentionally reveal another user's planner items, titles, prompts, or task identifiers.
• Analytics events must not include prompts, generated private planner content, passwords, API keys, reset codes, MFA codes, or excessive planner text.
• Agent planning changes must preserve source linkage and use preview/apply pathways for material planner edits.

Model improvement and provider handling

Cavatim may use AI providers to process prompts and outputs for enabled AI features. If shared or aggregate models are used to improve prediction quality, they should rely on de-identified or aggregate behavioural patterns rather than another customer's raw planner content.

Where provider terms, product settings, or enterprise agreements allow Cavatim to disable provider training on customer content, Cavatim should keep that protection enabled for commercial planner data.