Seven steps stand between a question and a decision. Almost none of them are about whether the number is right.
Trace the real production line behind a traditional dashboard. A business question becomes a ticket. An analyst builds it. IT wires the security around it. The company licenses a seat for every person who might one day open it. Somebody maintains it, redesigns it, and re-explains it, indefinitely. Every morning, a human opens the result, filters it, compares it to last week, and only then decides. Interpretation is a standing cost on top of every license, whether or not the number underneath was ever in question.
Question becomes a ticket
Analyst builds a dashboard
IT wires the security
A viewer seat, licensed per person
Maintained, forever
Human filters it, every morning
Decision, finally
Seven steps between a question and a decision. None of them check whether the number was right. All of them stand between the business and acting on it.
In one large retail deployment we know first-hand, 5,000 Viewer-tier seats existed to deliver one thing: store sales numbers to store managers. The replacement is one certified vault plus a one-time conversion of the reports those seats receive. Across everything, the subscription, the conversion, and the LLM costs of running the answers, we estimate more than a 50 percent reduction in total cost of ownership. Break-even lands inside the first year. BI admin time and over-provisioned Creator seats are not counted; both push the number higher.
Engagements start with a diagnostic that finds your highest-return conversion first.
Modeled targeted use case from first-hand enterprise BI operating experience, not an audited figure. One vault serves every recipient; vault pricing scales by function, not by seat.
Every employee now has a frontier model on their desktop.
Claude and Copilot moved natural-language reasoning from a novelty into daily software. Asking a business question in plain English is no longer the constraint that dashboards were built to work around. The constraint moved: it is no longer "can I ask this," it is "can I trust the answer I get back."
Asking got cheap
A capable model is already in the tools people use every day. Typing a question in plain language costs nothing and requires no ticket.
Trusting stayed hard
A model that can phrase a fluent answer is not the same as a model that knows your certified revenue definition, your fiscal calendar, or who is allowed to see what.
The gap is the opportunity
Agentic BI is the layer that closes that gap: it gives the model your business's certified context and checks what comes back before it reaches you.
Pointing a model at your data is not the same as governing what it says about your data.
A frontier model connected directly to a warehouse will answer almost any question. It will also invent a plausible-sounding number when the real one is missing, apply the wrong definition of "revenue," or surface a row a reader was never permitted to see. None of that shows up as an error message. It shows up as confidence.
Fluent, and ungoverned
- The model decides which definition of a metric to use, quietly and inconsistently
- Missing data becomes a confident guess instead of a labeled gap
- Row-level permissions depend on the prompt, not on an enforced boundary
- Every answer looks equally certain, whether it is checked or not
Grounded, and checked
- Every metric resolves to one certified definition with a named owner
- Permissions are resolved before the model ever sees the context
- What is missing is labeled missing, not filled in with a guess
- Answers carry a visible assurance level, not a uniform tone of confidence
Not every question needs the same level of scrutiny. Gravity knows the difference.
A quick operating question and a board-reliance question are not the same request, and treating them the same is either too slow or too risky. Modern Gravity routes every question to the assurance mode it actually needs, and shows you which one it used.
Certify once
Ask, in plain language
Receipted, labeled answer
Decide
Four steps, not seven. Certify the definition once, and every question after it starts at the decision instead of the filter panel. The two assurance modes below are what happens inside step three, at the depth of scrutiny the question actually needs.
For the daily question
Manager and analyst questions, reversible decisions, first-pass reads. Grounded, sourced, and quick to human-verify.
For the decision that gets scrutinized
CEO, CFO, COO, board, or audit reliance. Every material claim is verified against a certified source, or the answer defers.
Sometimes two certified sources disagree, or a definition is missing, or the math will not reconcile. In that case Gravity does not smooth it over. It defers, and it shows you exactly why, with a receipt. A system willing to say "I cannot certify this yet" is what makes every answer it does approve worth believing.
You stop going to the report. The report starts coming to you.
Instead of opening a dashboard and filtering until something looks like an answer, the operational briefing is already generated, already checked, and waiting when the day starts. The interface is the question you ask next, not a filter panel.
No dashboard to open. No filter to set. The briefing states what happened, what needs attention, and what it will not yet certify. From there, the follow-up question is typed in plain language, and the same receipt discipline follows the answer.
Status: in development. The scheduled morning briefing is built on Modern Gravity's verified-answer infrastructure, which is GA today. We run every capability on our own operations before a customer sees it.
Every claim ships with the receipt that produced it, or it does not ship.
A receipt is not a marketing flourish here. It is the specific certified definition, source, and owner behind a number, attached to the number itself, so the reader never has to take the claim on faith.
Checked before it reaches you
Each claim in a generated report or briefing passes an independent check before publish. A claim that fails is withheld, with a receipt that says why, instead of quietly smoothed over.
Certified and uncertified, always labeled
The agent answers from the context your team has certified and names what still sits outside it. Coverage grows domain by domain as more of the business gets certified. An expansion story, not a black box.
Double-checked before it ships
Answers that matter are independently double-checked before they publish. A single unchecked source of truth is a failure mode most tools never test for.
Bring your own frontier model
Claude, Copilot, or another enterprise-approved model on the entitlement you already hold, reasoning over the warehouse you already run. The certified layer travels with you if the model underneath changes.
The verified-answer layer underneath it is GA today.
Agentic BI extends Modern Gravity, our verified-answer infrastructure for AI agents. Start with a certified vault now; the scheduled briefings arrive on the same infrastructure as they ship.
You are the best judge of whether the timing fits.