Ask the schedule. In plain English.
The assistant reads the open project’s real numbers — Signal Score, dates, float, DCMA findings, trends — and answers your questions from that data. The AI explains; you decide. And it never edits your file.
Answers cite the schedule’s own data.
Every answer is built from the open project — its score, dates, float, findings and history. Jargon is explained inline, so planners still recognise their language and everyone else finally understands it.
Sample exchange — the tone standard for every answer: conclusion first, planner terms translated inline.
It knows what you’re looking at.
Suggested questions follow the view — open the risk page and it offers risk questions; open trends and it offers “what changed”. Start from a suggestion or type your own.
The model is your choice.
Admins choose the assistant’s model per company, so it fits your organisation’s AI policy. Answers are always grounded in the open schedule’s actual numbers — the AI explains; you decide.