OmegaOS — The operating system for autonomous agentic companies.
OmegaOS
Hermes - CommerceOS workspace

See where revenue is heading before the quarter closes.

Revenue Intelligence turns pipeline, campaign, customer, funnel, retention, and commercial-performance context into a forward-looking revenue picture.

Instead of reconciling CRM stages, campaign reports, spreadsheets, BI dashboards, and executive intuition after the fact, the workspace keeps forecast, scenarios, risk, contribution, expansion, retention, recommendations, and history in one operating context.

Revenue ForecastScenariosPipeline RiskFunnelAttributionCampaign ROICohortsExpansionRetention RiskRecommendationsCEO Decision PacketsForecast History
01

The problem is not that leaders lack revenue dashboards. It is that the dashboards disagree.

Sales has a forecast. Marketing has attribution. Finance has actuals. Customer teams see retention risk. The CRM has stages. Campaign tools have ROI. BI has historical reporting. Expansion signals appear somewhere else. Each view can be individually correct while the company still lacks one interpretable revenue picture. By the time the quarter closes, everyone can explain what happened. The more valuable question is what is changing while the company can still act.

Revenue Intelligence is designed to make revenue risk, momentum, contribution, and opportunity visible before they become historical reporting.

02

Four things revenue leadership should know before the quarter is over.

Know whether the forecast still deserves confidence.

Revenue Forecast and Forecast History connect the current outlook to prior forecasts, movement, and forecast evolution.

See the forecast as a changing operating state. Understand what moved, how confidence changed, and whether the current outlook is becoming more or less reliable over time.

Know where revenue is at risk.

Pipeline Risk, Retention Risk, and Funnel expose the parts of the revenue system that are slowing, leaking, or becoming less likely to convert.

Intervene before risk becomes a miss. See which opportunities, funnel stages, cohorts, or customer patterns deserve attention while the team can still change the outcome.

Know what is actually contributing.

Attribution and Campaign ROI connect commercial outcomes to campaign, channel, and revenue context.

Separate activity from contribution. See where demand and campaign work are materially influencing revenue instead of treating every touch as equal or every campaign metric as proof of impact.

Know where the next revenue opportunity is emerging.

Cohorts, Expansion, Recommendations, and CEO Decision Packets surface patterns that may create the next move.

Turn interpretation into a decision. See which cohorts behave differently, where expansion is possible, what recommendations deserve attention, and what leadership should review next.

03

From pipeline state to revenue decision — without rebuilding the forecast by hand.

Revenue Intelligence starts from the operating signals already created across Hermes. Pipeline and Funnel establish the active commercial state. Revenue Forecast interprets the outlook. Pipeline Risk and Retention Risk expose pressure. Attribution and Campaign ROI connect contribution. Cohorts and Expansion surface patterns. Scenarios test alternatives. Recommendations and CEO Decision Packets turn the picture into an explicit decision.

01

Pipeline + Funnel

02

Revenue Forecast

03

Pipeline Risk + Retention Risk

04

Attribution + Campaign ROI

05

Cohorts + Expansion

06

Scenarios

07

Recommendations + CEO Decision Packets

08

Forecast History

09

Next revenue decision

Revenue Intelligence turns the commercial system into a decision loop, not just a reporting layer.

04

Twelve functions. One revenue intelligence operating context.

Revenue Intelligence covers the full interpretation layer from forecast through risk, contribution, scenarios, expansion, retention, and executive decision support.

Revenue Forecast — See the current revenue outlook.

Keep the forecast connected to the operating state behind it.

Use Revenue Forecast to understand the current expected outcome.

Scenarios — Compare what happens if the assumptions change.

Model different revenue paths without treating the plan as a single fixed answer.

Use Scenarios to make alternative outcomes explicit before acting.

Pipeline Risk — Find where active revenue is becoming less likely.

Surface opportunity and pipeline conditions that deserve intervention.

Use Pipeline Risk to focus attention before the miss is fixed.

Funnel — Understand where commercial movement is accelerating or leaking.

Interpret progression across the revenue system rather than only individual deals.

Use Funnel to see where conversion behavior is changing.

Attribution — Connect outcomes to meaningful commercial influence.

Keep demand and activity connected to downstream revenue context.

Use Attribution to understand which commercial activity materially influenced the outcome.

Campaign ROI — Compare campaign contribution with the resources and outcomes around it.

Move beyond surface campaign metrics into commercial contribution.

Use Campaign ROI to evaluate campaigns in revenue terms.

Cohorts — See how groups behave differently over time.

Identify patterns that disappear inside aggregate reporting.

Use Cohorts to find structurally different customer or revenue behavior.

Expansion — Find where existing relationships may create additional value.

Surface accounts or customer patterns with expansion potential.

Use Expansion to identify where the next revenue opportunity may already exist.

Retention Risk — See where existing revenue may weaken.

Bring customer and commercial signals into the forward revenue picture.

Use Retention Risk to make downside visible before it becomes churn.

Recommendations — Turn patterns into suggested attention.

Move from descriptive analysis to prioritized next questions or actions.

Use Recommendations to make interpretation operational.

CEO Decision Packets — Package the revenue picture for executive review.

Bring the most consequential movement, risk, assumptions, and decisions together.

Use CEO Decision Packets to compress the revenue system into an executive decision surface.

Forecast History — Remember how the outlook changed.

Compare the current forecast with the sequence of forecasts that came before it.

Use Forecast History to understand whether the company is getting better at seeing the quarter.

05

Ask the revenue system what is changing — not what last month's dashboard said.

Prometheus can reason across the authorized Revenue Intelligence context and the Hermes operating system beneath it. Ask:

Ask the revenue system what is changing — not what last month's dashboard said.

The question should begin with the revenue decision — not with choosing the right dashboard.

  • What changed in the forecast this week?
  • Which opportunities create the most downside risk?
  • Which funnel stage is deteriorating?
  • Which campaigns are influencing pipeline or revenue?
  • Which cohorts are behaving differently?
  • Where is expansion opportunity increasing?
  • Which customers show rising retention risk?
  • Which scenario changes the quarter most?
  • What should the CEO review before the next revenue meeting?
  • How has the forecast changed over the last three updates?
06

What changes when revenue intelligence becomes part of the operating system.

The difference is that the forecast no longer sits above the operating system as a downstream reporting exercise. Forecast, risk, contribution, scenarios, expansion, retention, and history stay connected to the commercial state that created them.

Traditional stack
OmegaOS
Forecast is rebuilt from CRM stages and spreadsheets
Revenue Forecast stays connected to the live commercial context
Risk is discovered during forecast calls
Pipeline Risk and Retention Risk surface pressure earlier
Attribution lives in marketing analytics
Attribution and Campaign ROI remain connected to the wider revenue system
Cohort analysis is a separate BI exercise
Cohorts operate inside the revenue interpretation layer
Expansion and retention signals live in separate tools
Expansion and Retention Risk sit beside the forecast
Executive reporting is assembled manually
CEO Decision Packets package consequential revenue context
Historical forecast changes are hard to reconstruct
Forecast History preserves how the outlook changed

Revenue Intelligence is not a BI dashboard with AI added.

A BI dashboard primarily describes what the data shows.

Revenue Intelligence is designed around the forward commercial decision: what the company expects, what is changing, where risk is increasing, what is contributing, what scenarios matter, and what leadership should review next.

It is the workspace where the company interprets what revenue is likely to do next — and what deserves attention before the outcome becomes fixed.

07

Revenue Intelligence gets stronger because it interprets the Hermes operating loop.

The workspace becomes more valuable when forecast, risk, attribution, expansion, and retention remain connected to the commercial work creating them.

01

Revenue Operations

Revenue Operations supplies accounts, opportunities, activities, pipeline state, follow-up, and active commercial movement.

Explore Revenue Operations
02

Campaigns

Campaigns supplies campaign state, audience, events, attribution context, and demand-program execution.

Explore Campaigns
03

Commercial Intelligence

Commercial Intelligence supplies market, buyer, target-account, competitor, and source context before and around active demand.

Explore Commercial Intelligence
04

Commerce

Commerce supplies the transaction, quote, order, fulfillment, and entitlement context that follows the pipeline.

Revenue Intelligence interprets the system those workspaces are creating.

Explore Commerce
08

Revenue intelligence is also connected to the rest of OmegaOS.

Commercial Intelligence + Campaigns → shape demand and market context → Revenue Operations → creates active pipeline state → Revenue Intelligence → interprets forecast, risk, attribution, expansion, and retention → Mnemosyne → preserves relevant history and evidence → Prometheus → helps leadership interpret the current question → Aureus → receives the financial consequence → Agora → provides authority where consequential decisions require it

The revenue outlook stays connected to the operating work, evidence, financial consequence, and authority around it.

09

Start with the revenue outcome that matters now.

01

Executive Visibility

Bring forecast, risk, contribution, and revenue movement into the executive operating picture.

Explore Executive Visibility
02

Sales Growth

Find where opportunity, funnel, and account movement can create additional revenue.

Explore Sales Growth
10

Automate more revenue interpretation without turning forecast judgment into a black box.

Revenue Intelligence can connect forecast state, scenario assumptions, pipeline risk, funnel movement, attribution, campaign ROI, cohorts, expansion, retention risk, recommendations, executive decision packets, forecast history, source-backed company memory, and downstream governed actions where appropriate. The point is not to automate the executive judgment away.

The point is to make the evidence, assumptions, movement, and recommended attention visible enough for leadership to decide earlier and better.

Questions

Questions buyers ask about Revenue Intelligence.

Is Revenue Intelligence a forecasting tool?

Forecasting is one core job, but the workspace also connects scenarios, pipeline risk, funnel, attribution, campaign ROI, cohorts, expansion, retention risk, recommendations, executive decision packets, and forecast history.

How is this different from BI?

Traditional BI primarily describes data and historical performance. Revenue Intelligence is designed around the active revenue decision: forecast, risk, movement, scenarios, contribution, and what should be reviewed next.

Does Revenue Intelligence replace Revenue Operations?

No. Revenue Operations runs the active account, opportunity, pipeline, follow-up, and automation work. Revenue Intelligence interprets the revenue system above that operational work.

How does Revenue Intelligence connect to Aureus?

Hermes Revenue Intelligence interprets the commercial outlook and revenue movement. Aureus owns the financial operating consequences such as billing, receivables, accounting, cash, budgets, and forecasts.

Start where the value is clearest

See where revenue is heading before the quarter closes.

Keep forecast, risk, contribution, scenarios, expansion, retention, and the next decision inside one revenue intelligence context.