Cases from companies like yours
Business rules taken from real workspaces, by industry, ready to send to your agent.
Build once. Consume where the work happens.
These are the five patterns that work in any area. What changes between marketing, sales, finance or operations is the business rules. The architecture is the same.
Start here
The most built case of each goal.
One gold table per dashboard, with a stated grain and closed rules, that the BI tool only reads: the dashboard number matches the source, refreshes on its own and shows when it was last loaded.
Read caseAccelerate revenueTrendingFunnel by channelEach source channel's conversion at every funnel stage, with a single channel per deal and without hiding the deals that arrived with no source.
Read caseProtect revenueTrendingChurn and risk monitoringWho left, who is leaving and how much it weighs, with the right churn definition for each model: subscription, contract, tuition or repeat purchase.
Read caseClose the booksTrendingAutomated P&L (DRE)The month's management P&L built from ERP entries, using finance's chart of accounts, matching the official close and without closing the month by hand.
Read casePut AI to workTrendingData agent on Slack or WhatsAppThe team asks in plain language on Slack or WhatsApp and gets the official number, with the metric, the period and the last load date, or hears that the data does not exist.
Read caseTrust the dataTrendingDeduplication and entity resolutionOne row per person or company, with every source record linked to it and the reason for each merge, without merging people who only share a phone number.
Read caseSee the operation 3 cases
Swap spreadsheets, rework and conflicting numbers for a trusted source.
Accelerate revenue 9 cases
See what moves pipeline, conversion and acquisition efficiency.
Protect revenue 3 cases
Anticipate risk, understand behavior and prioritize the right accounts.
Close the books 4 cases
Reconcile, project cash and read margin without a manual close.
Put AI to work 2 cases
Turn organized data into answers, alerts and useful service.
Trust the data 2 cases
Solve identity, history and modeling before scaling consumption.