Cross-industry cases

From problem to first build

Use cases that work in any industry, taken from real, anonymized workspaces. Each one has an executive summary and a detailed view with the business rules, ready to send to your agent.

By industry

Cases from companies like yours

Business rules taken from real workspaces, by industry, ready to send to your agent.

The same base, five ways to create value

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.

01 Where data is born
CRMERPPaid mediaBillingProduct
02 The same base
Nekt
Connected datarefreshed every day
Business contextdefinitions and rules
Permissionswho sees what
03 Where the work happens
05 · the insight goes back to the source system

Start here

The most built case of each goal.

See the operationTrendingAutomatic reports and dashboards

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.

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Accelerate revenueTrendingFunnel by channel

Each source channel's conversion at every funnel stage, with a single channel per deal and without hiding the deals that arrived with no source.

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Protect revenueTrendingChurn and risk monitoring

Who left, who is leaving and how much it weighs, with the right churn definition for each model: subscription, contract, tuition or repeat purchase.

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Close 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.

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Put AI to workTrendingData agent on Slack or WhatsApp

The 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.

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Trust the dataTrendingDeduplication and entity resolution

One 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.

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See 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.

RevOpsTrendingFunnel 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 caseRevOpsTrendingPipeline view (funnel)How many deals enter each stage, how many move on and how long they stay, rebuilt from the CRM history and not from today's snapshot.Read caseMarketingTrendingUnified marketing (Google + Meta)Google, Meta and the other platforms in a single table, with spend, clicks and conversions that match each ads manager.Read caseRevOpsDeal health + alert agentEvery open deal classified as healthy, watch or at risk by its last real interaction and its time in stage, with one alert per owner that only reports what changed.Read caseRevOpsLead scoringA 0 to 100 score for every lead or open deal, with rules the sales rep understands, weights taken from what has already closed and the score written back to the CRM.Read caseRevOpsPipeline coverage vs targetHow much is left to reach the period's target, how much of the open pipeline can close in time and whether that covers what is missing, by channel, team and rep.Read caseRevOpsProbability-weighted revenue forecastHow much of the open pipeline should turn into revenue each month, with each deal weighted by the stage's real conversion, not by the number the CRM suggests.Read caseRevOpsRecurring revenue attributionHow much recurring revenue each acquisition channel brought over time, linking the ad to the CRM and the CRM to billing.Read caseRevOpsRevenue source auditWhich sources bring real paid sales and which only fill the funnel with leads, with every number proven in billing.Read case

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.