Ask your data a question, get a grounded answer
A copilot that can only see your real numbers — and says so when it does not know.
- Grounded or silent
- Shows its inputs
- No new billing surface
Copilot
SampleWhich locations lost calls last month?
Two: HSR Layout (−18%) and Koramangala (−9%). Both dropped after their hours went stale on 14 July.
Computed from 2 locations · 61 days of call data
Built around what actually changes outcomes
Grounded or silent
The model only ever sees a fact sheet computed from your rows. If the answer is not in there, it says it does not know instead of inventing one.
Shows its inputs
Every answer can be expanded to reveal the exact fact sheet behind it, so a claim is checkable rather than trusted.
No new billing surface
Questions meter against your existing AI allowance. There is no separate copilot add-on to buy.
Nothing persisted
Conversation history is session-local. Your questions are not stored, mined or used for training.
Three steps, no black box
Ask in plain language
"Which locations lost calls last month?" "Where am I losing the grid to Blue Tokai?"
The fact sheet is computed
The relevant rows are aggregated first. That aggregate — not your database — is what the model receives.
Answer with evidence
You get the answer and the numbers behind it, so a recommendation can be judged rather than taken on faith.
What this cannot do
A copilot is only as good as the data underneath. It will not speculate about causes it cannot see, and it will tell you when a question is outside what your data can answer.
More in Operate
See your real local position in about ten minutes
Connect one location on the free plan and run a full audit. No card, no call, no commitment.