The whole-business map
The CONSOLIDATED geographic view of the business in one place: customers, revenue, service orders, and deliveries by state, color-coded by the intensity of the chosen metric (quantiles) on the map of Brazil. Click a state to drill down to municipalities — a table and a mini-map of points positioned…
What you find on this screen
A portrait of the screen, read from the screen itself — it changes when the screen changes.
Available actions
Refresh
The list shows
Digital workerStatusResultTenkai costReturn
Form fields
Identificador
Nome
Descricaocargo
Situação
Contratado
Dhcontratacao
Autonomia
Tetovalor
Tetovolume
Tetogastomes
Start here
Três perguntas do ciclo numa tela só
Do the agents pay for themselves? (Real ROI of the digital employees.) Is what we built being used? (Measured adoption.) Do the models get it right? (Accuracy in the vertical.) A read-only screen that aggregates the scoreboards that already exist — hence the name.
What this screen is
The single view of the cycle: the scoreboard of all scoreboards. It brings together the REAL ROI of the digital employees (consolidated result ÷ AI cost), ADOPTION measured per tenant (modules used, screens never opened, people with access who never logged in) and the ACCURACY of the models in your vertical (average Brier, how many beat the dumb rule). 🔴 Honest where there is no basis: with no forecasts with outcomes or no telemetry, it states "not enough basis" instead of inventing a number. Read-only/aggregation.
How to
ROI dos funcionários digitais
Consolidated result (what the agents saved or generated) ÷ AI cost for the month, in total and per agent. An agent with a return below 1× costs more than it gives back — a candidate for pausing or reconfiguration, and that conversation happens in the Digital Employees Office.
Adoção medida
Modules with usage over the total contracted, screens never opened and people with access who never logged in. It is the map of license waste — and the ready-made agenda for the customer success conversation.
Acurácia na vertical
How many calibrated models beat the "dumb rule" (the naive forecast of repeating the last value) and the average Brier — the squared error of the predicted probability, the lower the better. A model that does not beat the dumb rule adds nothing, and the screen says so in no uncertain terms.
Rules
Honesto onde não há base
No digital employee hired = no ROI, and the screen says so. No AI cost in the month = ROI not calculated (dividing by zero would produce a pretty and false infinity). No telemetry = "adoption not measurable yet". Every dash on this screen is a deliberate refusal to invent a number.
Frequently asked questions
Which question this screen answers
Three questions of the cycle in a single view: how much the digital employees really gave back (real ROI = consolidated result − AI cost), how much of the platform the tenant actually uses (adoption: modules used, screens never opened, people with access who never logged in) and how accurate the models are in your vertical (average Brier and how many beat the dumb rule). Where there is no basis — no forecasts with outcomes or no telemetry — the screen states "not enough basis" instead of inventing a number. Read-only.
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