Ask your business a question. Get an answer.
Intelligence turns your event stream into answers an owner can act on: which store is slipping, which payer got worse, what happened to margin last month. Asked in plain language, answered with the math shown.
Each one costs you an evening today.
- Which payer got worse this quarter?
- Ranked by change in average margin per fill, quarter over quarter, with the fill count beside each so a payer with nine claims does not top the list on noise.
- What happened to margin at Store 3 last month?
- The month decomposed into the parts that moved: mix, acquisition cost, reimbursement and volume. Each with the fills behind it, one click away.
- What did we deliver and never bill?
- Clinical encounters in the event stream with no corresponding claim, valued at the fee schedule, grouped by service and by facility.
- Where is our capital sitting?
- On-hand value by facility against days since last dispense, so the answer is a dollar figure and a shelf rather than a unit count.
Answering any of these today means an export, a pivot table and a lost night. So it gets asked once a year, or never, and the business runs on impressions instead.
You have the data. What you do not have is an evening to spend in a spreadsheet.
Which payer got worse this quarter, on which drugs, at which store? That question is worth real money, and answering it today means an export, a pivot table and a lost night. So it gets asked once a year, or never, and the business runs on impressions instead.
It reads your question. It does not decide what you get paid.
What a model does here
Turns a sentence into a query against your own data, and turns the result back into a sentence. The arithmetic is shown underneath every answer, so you can check it rather than trust it. The cost of getting this wrong is a question you ask again.
What it never touches
Pricing, claim construction, eligibility and audit evidence are deterministic code with tests, and they will stay that way. A model that occasionally invents a reimbursement figure is not a feature with a caveat. When a number here is money, something auditable produced it.
Intelligence, in practice.
Plain questions, real answers
Ask the way you would ask a colleague. Get the number back with the working shown, so you can check it instead of just trusting it.
Stores compared honestly
Revenue, margin, clinical services and exceptions across every location. One weak store shows up as itself, not smoothed into a fleet average.
Payer trends over time
How every payer pays you, by drug class, drifting quarter by quarter. The chart you bring to the renegotiation.
Delivered on your cadence
The numbers that matter, arriving on schedule to the people who own them, without anyone remembering to run a report.
If this disagreed with Margin, one of them would be wrong.
Every figure here is computed from the same projections the products themselves read, not from a separate warehouse loaded on a schedule. That is why the total on this dashboard and the total in Margin are the same number rather than two numbers that usually agree, and why nobody has to spend a morning working out which one to believe.
Already connected? Intelligence was a switch, not a project.
Every product runs on the same event spine. Turning one on starts it working on data that is already flowing, which is why there is no second onboarding and no second integration bill.
See Intelligence on your own data.
Thirty minutes. We connect one facility read-only, replay your recent events, and show you what Intelligence finds. Your numbers, not a demo dataset, and credentials you can revoke when we are done.