Flagship 02 Revenue operations

Marketing Revenue Assurance

Reconcile what ad platforms report with what the CRM received and what finance actually collected. Agents interpret the evidence. Deterministic controls own the math.

Run control

Open a case

Synthetic source contract

Meta Ads Google Ads TikTok Ads GoHighLevel CRM Call tracking Settlement export

Hard boundary

No ad, CRM, task, message, or payment mutation. Approval accepts a draft only.

Evidence workspace

Ready for a reconciled run

REPLAY IDLE

Choose a failure pattern.

Twelve evaluated replay cases cover delivery gaps, duplicate leads, attribution loss, funnel leakage, cash collection, stale data, and unsafe multi-failure states.

0RISK / 100

Market

Campaign assurance run

The council has not reported a finding.

Trace pending Replay mode

Media spend$0Platform aggregate

Booked revenue$0CRM opportunity value

Collected revenue$0Settlement evidence

Revenue at risk$0Conservative capped exposure

Recoverable estimate$055% planning assumption

Observed ROAS0.00×7 day window

Cross-system reconciliation

0% evidence bound

Channel	Spend	Platform leads	CRM leads	Qualified	Booked	Collected	Freshness

Prioritized incidents

0 findings

Agent execution

0 steps

Claim register

Observed, inferred, causal

Human decision gate

Measurement owner review

The system can draft a recovery plan, but it cannot act on a client system.

Inspect typed run record

System brief Production shaped

Why this is an assurance system, not another dashboard.

It persists normalized evidence, runs bounded specialists through an explicit graph, separates arithmetic from interpretation, records a tamper-evident audit trail, and stops at a named human gate.

Golden failure cases

Every expected top finding is evaluated before release.

Governed specialists

Each agent has one decision responsibility and a visible trace.

API assertions

The Docker and Postgres journey verifies policy, audit, and approval behavior.

External mutations

Public and pilot runs remain read-only until a separate integration is approved.

Marketing Revenue Assurance system context and infrastructure diagram — **System context**Typed source adapters feed a normalized evidence store. LangGraph coordinates bounded analysis. Policy and human approval control every proposed recovery action.Open API contract ↗

Python 3.12Runtime and rules
FastAPITyped REST control plane
LangGraphStateful orchestration
PostgreSQLEvidence and checkpoints
OpenTelemetryTrace context
CTRDockerReproducible runtime
APIPostmanContract journey