Why Fruition Revops
Most RevOps fixes treat the symptom. We fix the operating model underneath.
Built for companies where revenue crosses departments
SaaS & Tech
Sales closes. Ops doesn't see it. Finance invoices wrong.
Franchise Operations
HQ makes decisions on data franchisees never see.
Manufacturing & Hardware
Quotes get signed. Production doesn't know until it's late.
Healthcare
Patient revenue flows through six systems. None of them agree.
Construction & Home Appliance
Projects close. Cost tracking and delivery fall out of sync.
The Decision Owner
CFO. RevOps Director. VP Ops. COO.
You've already invested in the tools. So why is it still breaking?
01
Quote-to-Cash breaks between teams — not inside them
The quote is clean. The problem starts when sales hands off to ops, ops hands off to finance, and nobody's system reflects the same deal state.
02
CRM and ERP tell different stories
Sales sees one pipeline. Finance sees different numbers. Operations is working from a third version. All three are technically correct — and that's the problem.
03
Automations work locally, break at handoffs
Workflows inside HubSpot run fine. The failure is what happens when that workflow needs to trigger something in NetSuite, or route a task to ops, or update a field in Monday.
04
Nobody owns the automation when it breaks
Automation sprawl creates invisible failures. Something breaks silently — leads don't route, orders don't trigger, data drifts — and it's unclear who owns fixing it.
05
Data governance is policy without execution
You have a "single source of truth." Teams have five versions of it. Governance fails when it's disconnected from how data actually moves between systems and teams.
If your team is researching these — the problem is already in production
CDHS + QDF
Quote-to-Cash (Q2C) Failures
QDF
Workflow Automation Breakdowns
CDHS
CRM–ERP Integration Drift
QDF
Business Process Automation at Scale
CDHS
Data Integration & Governance
QDF
Automation Governance Gaps
CDHS
Master Data Management Failures
SAE Map
Operating Model & Architecture Design
Architecture first. Execution second. Governance always.
01
SAE Map
Diagnose the Architecture
02
CDHS
Govern the Data Layer
03
QDF
Build Governed Flows
04
SOPs + Maintenance
Enforce & Maintain
⚑
Architecture first. Always.
Foundation — One-Time Engagement
(1) SAE Map
- Required before CDHS or QDF implementation
- Reveals where revenue is leaking before you invest in fixing it
- Maps cross-departmental handoffs, not just technical system connections
- The consulting layer that cannot be replaced by AI or generic tools
Foundation — One-Time Engagement
(2) Identify & Structure the Data and Attributes
- Required before CDHS or QDF implementation
- Defines master ID structure that prevents duplicate customer records
- Maps attribute relationships across CRM, ERP, Finance, and Operations
- Prevents the $150K rebuild when integration architecture is wrong
One-time engagement · Typically bundled with CDHS or QDF
Data Governance Layer — One-Time Setup
(3) CDHS
- Eliminates CRM–ERP data drift and "whose numbers are right" conflicts
- Governance layer — not a reporting tool or data warehouse
- Anchors data ownership to real workflows, not policy documents
- Enables QDF to operate safely at scale without data inconsistency
Operational Execution Layer — Monthly
(4) QDF — Quick Data Flows
- Fixes Q2C handoffs, cross-team workflow failures, and automation sprawl
- Encodes why an action should occur, who owns it, how it expected to work
- Evolves as your SOPs and operating model change — not a frozen snapshot
- Operates standalone or on top of CDHS for complex data governance needs
What makes this different from what you've already tried
| What you're evaluating | Generic Integration / Automation Tool | Fruition RevOps |
|---|---|---|
| What they build | Technical connections between tools | Governed operational flows aligned to your SOPs and RevOps model |
| Where they start | With the tools — "what can we connect?" | With the operating model — "how does the business actually work?" |
| Data governance | Not their problem. Data drift is yours to manage. | Built into the architecture. CDHS enforces ownership and consistency across systems. |
| When it breaks | Unclear who owns the fix. Automation sprawl compounds. | Maintained actively. Ownership is defined. SOPs govern who fixes what. |
| Stack requirement | Often locked to specific platforms or forces migration | Fully system-agnostic. Bring your stack — we make it work. |
| What you're buying | A toolset or a platform subscription | An operating system for how revenue executes across your company |
| Pricing model | Per-connector, per-task, or per-seat | Per outcome — architecture, governed flows, and reliability each priced separately |
Revenue breaks differently in every industry. So does our approach.
Your franchisees are only as good as the data they receive.
- HQ-to-franchisee data governance that enforces real-time visibility
- Location-level operational flows that feed clean data upstream
- Compliance and performance reporting anchored to actual workflow data
- Onboarding automation for new franchise locations — consistent every time
What We Hear from Franchise HQs
"
"
"
"
Your SaaS revenue closes in CRM. It leaks everywhere after that.
- Quote-to-cash flows from CRM through billing and revenue recognition
- CS and product usage data integrated into revenue risk signals
- Renewal automation anchored to real contract and usage data
- Cross-functional reporting that sales, finance, and ops all trust
What We Hear from SaaS RevOps Leaders
"
"
"
"
Sales promises delivery dates that production can't see.
- CRM-to-ERP handoff governance from quote through order fulfillment
- Production data feeds back into customer-facing delivery commitments
- Quality, shipment, and warranty workflows triggered automatically at handoff
- Finance and operations running on the same order and revenue data
What We Hear from Manufacturing Ops & Finance
"
"
"
"
Patient revenue flows through six systems. The friction is in every handoff.
- Scheduling-to-billing workflow governance and data alignment
- Compliance-triggered workflows anchored to care delivery events
- Patient engagement data integrated into revenue and ops reporting
- Cross-system attribution that connects care delivery to revenue outcomes
What We Hear from Healthcare Operations Leaders
"
"
"
"
Projects close. Cost tracking and delivery fall out of sync.
- Quote-to-project execution flows across CRM, PM, and procurement
- Cost and change order data synchronized to finance in real time
- Delivery and installation milestones triggering billing and service workflows
- Warranty and service activation anchored to project completion data
What We Hear from Construction & Appliance Ops
"
"
"
"
What happens when the operating model is right
Zero
"
MT
Michael Torres
CFO — $220M Multi-Brand Manufacturing Company
Erick Rodrigo,
Shiv Gupta,
Eran Shalev,
Chris Curran,
David Aronchick,
CEO, Expanso, USA
Lawrence Stuart
Gal Zacharia
Keely Chapman,
Itai Ard
Lilach Dekel
Marketing Manager, Vimmi Communication
Valin Tzure
Mayya Bozhilova,