All the work is in monday. None of the reporting is. Your team lives in the boards, updates statuses, moves items, and does the job — and then somebody spends Thursday afternoon assembling a summary of what those boards say, by looking at them. The information exists. It is simply not in a form anything can query, which means it is not in a form an AI layer can be trusted with either.
Boards and the items on them, with their columns and values, pulled through the monday API and written into a mirror. Which boards is a scoping decision you make: the ones that carry operational truth, not every board anyone has ever created.
Once the items are mirrored, they are queryable the way any other table is queryable. You can ask questions across boards, look at how a value moved over time, and join board data to whatever else you have connected without paging through an interface.
Authentication is an API token generated inside your monday account and stored as a secret. It is simple, and simple is the right answer here: one credential, scoped by the permissions of the account it belongs to, revocable by you at any moment.
Sync runs on a schedule and can be triggered manually when someone needs the mirror current before a meeting. Each run is recorded: whether it succeeded, how many items it brought back per board, and what errored. Those three facts are surfaced in the interface rather than buried, and they are what makes the mirror trustworthy. Anyone can build a sync. The reason people stop believing their data is that nobody built the part that tells you when the sync went wrong.
The mirror then acts as the operational spine. Reporting reads it. An AI layer reads it, and answers questions against a real dataset with defined fields instead of trying to interpret a board through a chat window. That distinction matters: an AI asked to summarize a screen will confidently produce something plausible. An AI reading a queryable mirror produces something you can check.
An API token from an account with visibility into the boards in scope, delivered as a secret. Give it the narrowest permissions that still cover those boards, and use an account that will not disappear when someone changes roles — a token tied to a departing employee is the most common way a working sync dies.
We also need you to tell us which boards matter and which columns carry real meaning. Most monday accounts have accumulated boards nobody maintains, and mirroring those adds noise, not insight.
In a database in your accounts, under your access controls. It holds the boards and items you scope in, and nothing else. Access is granted to the people you name; it is not a shared product with other companies' data next to yours.
The mirror reads. Boards and items stay authored by your team in monday, which keeps the tool your people trained on unchanged. Where a workflow genuinely needs a write, it is scoped explicitly and approved by you — it is not the default posture of the integration.
Because reporting and AI workloads ask questions an API rate limit will not tolerate: joins across boards, history over time, repeated queries during an analysis. A mirror gives you a queryable store you can hit as hard as you like without degrading the tool your team is working in.
The mirror is the seam. Everything downstream reads the mirror, not monday, so replacing the source system means writing a new sync into the same shape. The reporting and the AI layer above it do not have to be rebuilt.
Column types and field shapes shift, and a token can be revoked when the person who created it leaves. Both show up as failed or partial runs, which is why every sync records status, item counts, and errors where an operator can see them. Item counts are the useful signal: a run that succeeds but returns far fewer items than usual is a problem worth catching.
Start with a complimentary industry analysis. You leave with the one project worth deploying first.
Schedule a Consultation