Precision AI OS for product teams
AI for product managers and their teams
AI agents for product teams keep decisions and docs in one shared memory, answer questions from it and draft status updates on a schedule. Every send is held for approval by default.
Managed is taking discovery calls now. Free and Team are coming soon.
One memory for the product.
Decisions on record
Agent OS (AOS) keeps product decisions, specs and docs in one memory that everyone shares, and it stores only what your team approves.
Answers with sources
Ask why a call was made and the assistant answers from that record, showing the document behind the answer, so a new teammate catches up from the record, not from memory.
Status updates on schedule
A routine drafts the stakeholder update from your connected docs and spreadsheets, then holds it for your sign-off by default.
Questions product teams ask
What can AI do for product managers?
Keep decisions and docs in one memory, answer questions from that record with sources, and draft status updates on a schedule for your review. It takes on the gathering, not the product calls.
Does it connect to Jira, Linear or GitHub?
Precision integrates with QuickBooks, Gmail, Outlook and Google Sheets. Jira, Linear and GitHub are not in that set. Any other tool is confirmed during scoping, so bring your list to the first call.
Will it send updates without my approval?
Not by default. Updates wait on an approval card where a person can approve, edit or skip them, and every approval is recorded against exactly what was approved. An owner can allow only routine work, never money, new people or deletions.
Will it replace product managers?
No. It keeps the record and drafts the updates, so less of a product manager's week goes to gathering. Priorities, trade-offs and what ships stay with your team.
Is our product data used to train AI?
No. Language models run only under zero-retention routing, with data collection refused on every request. Your docs stay isolated to your business, encrypted with keys unique to it, on Google Cloud in the United States. Every model call is recorded: which skill made it and which model answered.
Who sets it up?
Our engineers set up each agent and routine for your business, including what it reads and who approves its work. Implementation is included in Managed, and your named engineer keeps improving them as your product changes.