Ask
Read, explain and cite. Ask why a milestone slipped, what is overdue, or what changed this week, and every answer links back to the activity, task, post or note it came from — nothing changes.
Planrill AI
An assistant that reads what you can see — activities, tasks, the Feed, notes, meetings, files and links — explains what needs attention with links to the real items, and proposes changes you approve. Nothing moves until a person applies it.

Two modes
The same assistant, two clearly different jobs.
Read, explain and cite. Ask why a milestone slipped, what is overdue, or what changed this week, and every answer links back to the activity, task, post or note it came from — nothing changes.
Propose changes for your approval. Reschedule, reassign, add tasks, post an update, append to a note — Planrill AI drafts the exact changes as a proposal, and you apply them with one click or decline them.
Nothing changes until a person clicks Apply. Every applied change is logged with who requested and who approved it, and can be undone while the item is untouched.
Where it works
Open it anywhere; it already knows where you are.
At Global scope it looks across every project you can see — what is at risk, what is overdue, what needs you today.
In a project it reads that project's schedule, tasks, Feed, notes, meetings, documents and links, and answers with the evidence.
Page quick actions send the question that fits the screen — explain this schedule, summarise this thread, draft a status update.
A morning brief and a nightly check for milestones at risk and work gone stale are built from your data directly — no model call, no credits, just the facts and a link to each item.
Approval built in
Four steps, none of them automatic.
In Act mode the assistant files a proposal: the exact changes, item by item, with a plain-language summary.
You review each item and apply the proposal — or hand it to a colleague who has the permission to apply it and let them decide.
Every applied change lands in the project's activity log with who requested it, who approved it, and a 'via Planrill AI' mark.
Applied a proposal by mistake? Undo it. The assistant refuses to undo anything a person has since edited.
Beyond one question
Approve once; it runs within what you approved.
A rule is one trigger and one action — when an activity is completed, post to the Feed; when a task goes overdue, assign it. A project admin approves the rule, it runs under that person's permissions, and it pauses itself if it fails or that person loses access.
Give it a goal and it lays out up to six steps inside an envelope you approve: one project, non-destructive changes, a bounded size. Steps inside the envelope run; anything outside it waits for your click.
What it knows
The assistant reads through your own permissions — never more.
It searches posts, comments and notes, and reads the text of PDF, Word and plain-text files uploaded to your projects, so an answer can cite the document, not just the task.
Tell it to remember something and it will; tell it to forget and it does. Project memories are on the record; personal ones are private to you.
Conversations are private to you. Questions and the content the assistant reads go to the AI processor only to produce the answer, and are never used to train models. The privacy policy names every processor.
Answers come from Google's Gemini API today through a neutral layer, so the model can change without your workspace changing. Which models are offered is configuration, not code.
Credits and plans
Usage is metered in Planrill AI credits — a monthly pool for your organization, visible in Settings.
The morning brief and the nightly checks never spend credits. Your organization can turn the assistant off entirely.
Compare plansNo. In Ask mode it only reads, explains and cites. In Act mode it files a proposal, and nothing is applied until a person clicks Apply. Every applied change is logged and can be undone while the item is untouched.
Exactly what you can see, and nothing more: it reads through your own permissions, in the scope you open it in — across your portfolio, inside one project, or on the page you are on. Your conversations are private to you.
Activities, tasks, the Feed, notes, meetings, calendar events, links, and the text of PDF, Word and plain-text documents uploaded to your projects. It searches posts, comments and notes too.
Answers come from Google's Gemini API through a provider-agnostic layer. The content it receives is used only to produce the answer, never to train models. The privacy policy names every processor we use.
A monthly pool for your organization, included in every plan and shown in Settings. Each answer spends a small number of credits; the morning brief and the nightly checks are built from your data directly and spend none.
Only within what a person approved: an automation is one trigger and one action approved by a project admin, and a plan is a short sequence of steps inside an approved envelope. Both run under the approver's permissions, log every change, and pause if something fails.
Ready when you are
Start free, ask it what needs attention, and apply its first proposal in minutes.