Revenue Operations Architecture

Your Revenue Operations
Aren't a System. Yet.

We design and deploy revenue operations (RevOps) systems that coordinate deals, data, and decisions across every platform your revenue team touches.

Start with a Diagnostic
DECISION ENGINE CRM LAYER SEQUENCER · AI AGENTS · CLAUDE ENRICH MENT AUDIT LOG SIGNAL SOURCE SIGNAL SOURCE
The problem

Your tools are connected.
Your revenue operations aren't.

Point integrations don't create revenue operations logic. They create data movement without decision structure — and that's not RevOps, it's just plumbing.

01
HubSpot and Salesforce sync — but neither knows what the other should do. Data moves. Decisions don't.
02
Deals advance without triggering the right downstream motion. Stage changes are recorded, not acted on.
03
No single source of truth for deal stage, intent signal, or next action. Every rep is running a different version of the system.
04
Automation runs — but nobody can audit why a deal moved. When the system breaks, there's no trace to follow.
05
Expansion, renewal, and upsell are manual plays, not structured outcomes. Revenue that should compound gets left to rep judgment.
Revenue Operations Architecture

Architecture is how revenue operations
scales without breaking.

A revenue operations system is the logic layer between your data and your revenue motion. It determines what happens, when, and why — across every platform simultaneously. This is RevOps as infrastructure, not process.

Signal Layer Captures intent, behavior, and stage data
Decision Layer Routes deals on structured logic, not rules lists
Execution Layer Coordinates CRM, sequencer, and enrichment actions
Audit Layer Every decision is traceable, every outcome is attributable
SIGNAL LAYER Intent Behavior Stage Enrichment DECISION LAYER Mother / Child Logic Cross-platform Routing EXECUTION LAYER CRM Sequencer AI Agents Enrichment AUDIT LAYER Every decision logged · reason + outcome · full traceability
How it works

One deal structure.
Many coordinated motions.

Deals aren't isolated records. They're nodes in a system — each one triggers, informs, and inherits from others.

STEP 01
Architect
Map deal stages to system logic, not CRM fields. Define what happens at every state transition.
STEP 02
Structure
Apply Mother/Child deal logic. Parent deals hold context; children act independently but inherit state.
STEP 03
Orchestrate
Cross-platform execution fires from a single decision layer. Every tool runs the same logic.
Mother / Child Deal Architecture
MOTHER DEAL Acme Corp · Enterprise context · stage · history NEW BUSINESS Inherits: Account context → Sequences AE motion EXPANSION Inherits: Usage signals → Routes to CS team RENEWAL Inherits: Contract data → Auto-triggers 90d out UPSELL Inherits: Seat count → Fires AI agent play PARTNER DEAL Inherits: Relationship map → Parallel track audit log: all child events reference mother deal ID · full traceability across every motion
Flagship Capability

Agents that run your system,
not your inbox.

AI sales agents built on Claude operate as revenue operations participants — they read pipeline state, make scoped decisions, and execute actions with a full audit trail. RevOps, automated at the decision layer.

  • Reads live CRM state before every action
  • Executes sequencer steps, enrichment calls, and stage transitions
  • Scoped by deal type, stage, and account context — no free-range actions
  • Every agent decision is logged with reason and outcome
  • Replaces rep judgment on defined paths — not undefined ones
agent execution log · live
INPUT Deal moved to Stage 4 · High intent signal detected CONTEXT Reading CRM · 3 prior touches · Champion identified DECISION Route to AE · Queue executive outreach · Skip SDR EXECUTE Sequencer enrolled · CRM stage updated · Task created AUDIT LOG · reason: champion + intent threshold · ts: 14:32:07
Supporting capabilities

The system doesn't run
on one capability.

Three structural components that keep the architecture coherent at scale.

01 — Orchestration
Cross-Platform Orchestration
One decision layer controls execution across CRM, sequencer, enrichment, and AI agents. No tool owns the logic — the architecture does.
02 — Auditability
Auditability by Design
Every automated action carries a traceable reason. When something breaks or scales unexpectedly, you have a complete decision trail — not a mystery.
03 — Signal Architecture
Signal Architecture
Intent and behavior data mapped to decision inputs, not reports. Signals don't inform dashboards — they fire system logic directly.
Full capability stack

100 capabilities.
One system.

Every function required to design, deploy, and operate a production-grade revenue operations system.

100 capabilities shown
01
Design the operational "Launch Kit" for new country entries
GTM Strategy
02
Calculate Customer Acquisition Cost (CAC) by channel
GTM Strategy
03
Determine Lifetime Value (LTV) cohorts
GTM Strategy
04
Build a Total Addressable Market (TAM) database within the CRM
GTM Strategy
05
Create an Ideal Customer Profile (ICP) scoring model
GTM Strategy
06
Design Lead Routing logic — Round Robin or Territory-based
GTM Strategy
07
Map the buyer's journey from "Unknown" to "Closed-Won"
GTM Strategy
08
Define lifecycle stage transition criteria
GTM Strategy
09
Perform Win/Loss analysis reporting
GTM Strategy
10
Develop a "Price-to-Value" architectural model
GTM Strategy
11
Build a renewals and expansion dashboard
GTM Strategy
12
Design the "Pod" structure for Sales/CS alignment
GTM Strategy
13
Establish a GTM "Council" for cross-departmental alignment
GTM Strategy
14
Create a feedback loop for Product-Led Growth (PLG) signals
GTM Strategy
15
Forecast hiring needs based on pipeline velocity
GTM Strategy
16
Architect Custom Object schemas including Mother/Child deal relationships
HubSpot & Architecture
17
Design data flows between CRM and ERP
HubSpot & Architecture
18
Configure advanced HubSpot sequences with logic branches
HubSpot & Architecture
19
Build custom properties with strict validation rules
HubSpot & Architecture
20
Audit and prune "zombie" properties
HubSpot & Architecture
21
Manage API keys and private app integrations
HubSpot & Architecture
22
Set up Webhooks for real-time data pushes
HubSpot & Architecture
23
Create specialized pipelines — Sales, Renewals, Partner
HubSpot & Architecture
24
Implement "Instant Invoice" automation triggers
HubSpot & Architecture
25
Build custom "Association Labels" for complex account maps
HubSpot & Architecture
26
Configure multi-currency and exchange rate sync
HubSpot & Architecture
27
Design the "Source of Truth" hierarchy — CRM vs. Data Warehouse
HubSpot & Architecture
28
Build a sandbox environment for testing new workflows
HubSpot & Architecture
29
Automate the "Handoff" between Sales and Customer Success
HubSpot & Architecture
30
Implement "Calculated Properties" for deal margin or health scores
HubSpot & Architecture
31
Manage HubSpot User Permissions and Team Partitioning
HubSpot & Architecture
32
Audit integration logs for sync errors
HubSpot & Architecture
33
Build a "Centralized Log" for all automated communications
HubSpot & Architecture
34
Design the architecture for "Parent-Child" company hierarchies
HubSpot & Architecture
35
Create custom "Record Sidebars" for specific team views
HubSpot & Architecture
36
Set up automated Lead Rotation based on SDR availability
HubSpot & Architecture
37
Implement "Target Account" tagging for ABM
HubSpot & Architecture
38
Design the technical flow for Referral programs
HubSpot & Architecture
39
Build a "Lost Reason" mandatory field automation
HubSpot & Architecture
40
Configure "Deal Splits" for multi-rep commissions
HubSpot & Architecture
41
Write Python scripts for advanced data cleaning
Data & Coding
42
Create JavaScript "Custom Code Actions" in workflows
Data & Coding
43
Build a custom middleware for Stripe-to-HubSpot syncing
Data & Coding
44
Automate Mixpanel event data into CRM contact records
Data & Coding
45
Standardize naming conventions via regex (Regular Expressions)
Data & Coding
46
Build a "Data Health" dashboard to track missing fields
Data & Coding
47
Automate the "De-duplication" of contact and company records
Data & Coding
48
Sync Product Usage data into CRM for CS visibility
Data & Coding
49
Create a Slack bot for "Deal Won" celebrations and alerts
Data & Coding
50
Build a "Database Normalization" workflow — City, State, Country
Data & Coding
51
Manage "OAuth" flows for third-party tools
Data & Coding
52
Build a custom "Credit Ledger" for SaaS usage and billing
Data & Coding
53
Implement "Field Mapping" for all integrated tools
Data & Coding
54
Set up an automated "GDPR/Privacy" deletion workflow
Data & Coding
55
Build a "Wait Time" tracker for lead follow-up performance
Data & Coding
56
Build a Weekly Executive Revenue Snapshot
Revenue Intelligence
57
Calculate "Pipeline Coverage" ratios
Revenue Intelligence
58
Create "Sales Velocity" reports — Time to Close
Revenue Intelligence
59
Analyze "MQL to SQL" conversion rates
Revenue Intelligence
60
Build a "Top Rep" leaderboard by activity and revenue
Revenue Intelligence
61
Design "Marketing Attribution" models — First, Last, U-Shaped
Revenue Intelligence
62
Monitor "Churn Rate" by customer segment
Revenue Intelligence
63
Track "Average Deal Size" trends over time
Revenue Intelligence
64
Create "Projected Revenue" vs. "Actual" charts
Revenue Intelligence
65
Audit the "weighted pipeline" for forecasting accuracy
Revenue Intelligence
66
Build a "Content Efficacy" report — which PDFs and decks close deals
Revenue Intelligence
67
Track "Discounting Trends" by rep or region
Revenue Intelligence
68
Design "Cohorted Retention" heatmaps
Revenue Intelligence
69
Report on "Net Revenue Retention" (NRR)
Revenue Intelligence
70
Build a "Sales Activity" vs. "Outcome" correlation report
Revenue Intelligence
71
Analyze "Lead Source" ROI
Revenue Intelligence
72
Create "Time in Stage" reports to find bottlenecks
Revenue Intelligence
73
Track "Competitor Presence" in lost deals
Revenue Intelligence
74
Build a "Customer Health Score" using 5+ variables
Revenue Intelligence
75
Create a "Stakeholder Map" report for high-value accounts
Revenue Intelligence
76
Create "Standard Operating Procedures" (SOPs) for the CRM
Enablement
77
Design a Sales Playbook in HubSpot
Enablement
78
Record "How-To" videos for team system training
Enablement
79
Automate "Next Best Action" prompts for reps
Enablement
80
Build a "Discovery Call" template within the CRM
Enablement
81
Create automated "Renewal Reminders" 90 days out
Enablement
82
Streamline the "Quote-to-Cash" process
Enablement
83
Manage the "Contract Repository" — DocuSign and PandaDoc
Enablement
84
Design an "Onboarding Checklist" for new hires
Enablement
85
Audit "Meeting Link" usage and effectiveness
Enablement
86
Build "Snippets" and "Templates" for standard outreach
Enablement
87
Implement a "Help Desk" for internal system issues
Enablement
88
Set up "Automated Re-engagement" for cold leads
Enablement
89
Coordinate "Sales Spiffs" incentives tracking
Enablement
90
Build a "Feedback Loop" from Sales to Product teams
Enablement
91
Negotiate renewals for the GTM tech stack
Governance
92
Maintain a "Master Tech Stack" inventory and cost sheet
Governance
93
Perform quarterly "Data Hygiene" sprints
Governance
94
Manage "Single Sign-On" (SSO) for GTM tools
Governance
95
Ensure GDPR/CCPA compliance across all systems
Governance
96
Conduct "User Access Reviews" for security
Governance
97
Design "Disaster Recovery" plans for CRM data
Governance
98
Set up "Alerting" for system downtime or sync failures
Governance
99
Optimize "Email Deliverability" settings — SPF and DKIM
Governance
100
Write the "Annual RevOps Roadmap"
Governance
System map

The system, mapped.

Every node has a role. Every edge has a direction. No part of the revenue operations motion runs outside the architecture. This is what a real RevOps system looks like.

CRM SIGNALS HubSpot · Salesforce INTENT DATA G2 · Bombora · 1P ENGAGEMENT Opens · Replies · Visits PRODUCT SIGNALS Usage · Adoption · PQLs DECISION ENGINE Mother / Child Logic · Signal Routing cross-platform · single logic layer CRM LAYER Stage transitions · field updates SEQUENCER Outreach · Salesloft · Apollo AI AGENTS Claude · scoped · logged ENRICHMENT Clay · Clearbit · Apollo PARTNER Parallel track AUDIT LOG every action · every layer · reason logged · outcome recorded · full traceability
Node Role
Node Name
Description
Signal Sources
Decision Engine
Execution Layer
Audit Log
Get started

Start with a system
diagnostic.

A 45-minute structured review of your current revenue operations motion — what's architectural, what's manual, and what breaks at scale.

Book a Diagnostic See how the system is built →