The Revenue Architecture System™
A four-layer model for B2B SaaS RevOps. Most agencies fix workflows. We rebuild the layers underneath them — because workflows on a broken data model will fail in six months.
Each layer fixes what the layer below makes possible.
Your reporting is only as honest as your automations. Your automations are only as reliable as your data model. Your data model is only as clean as your source stack. Layers stack — and so do their failures.
Source Stack
Tools that connect.
Most mid-market SaaS stacks have 3–8 silently broken integrations. Zapier zaps that retry forever. iPaaS connectors that silently drop fields. We rebuild integrations as engineered services — TypeScript or Python, idempotent, monitored, with retry/backoff and dead-letter queues.
- Stack inventory + cost map
- Integration map (engineered ↔ Zapped ↔ broken)
- Tool consolidation plan (typical: 5–9 eliminated)
- Engineered integrations with monitoring + alerting
Data Model
One object, one truth.
One company. One contact. One deal. Custom objects only when they earn their place. Lifecycle stages with measurable entry/exit criteria — not vibes. The data model is where most agencies don’t look. It’s where we start.
- Object architecture review (companies, contacts, deals, custom objects)
- Lifecycle stage rebuild with entry/exit criteria
- Property hygiene + naming conventions
- Salesforce-leftover detection + cleanup
Automation
Workflows that don’t lie.
Workflow inventory cut by 40% on average. Lifecycle automation that actually fires. Lead routing rebuilt around quota and availability, not round-robin. Sequences and email deliverability monitored, not assumed.
- Workflow inventory + dependency graph
- Lead routing rebuild (round-robin → weighted)
- Lifecycle automation tied to objects, not properties
- Sequences + sender reputation + DMARC
Reporting
A forecast you can defend.
Pipeline metrics defined. Forecast accuracy backtested. CRO and board dashboards built directly in HubSpot, with optional Snowflake/Looker mirroring for the analytics team. Stripe ARR matches HubSpot ARR — for the first time.
- Forecast model + 4-quarter accuracy backtest
- Pipeline metric definitions vs industry standard
- CRO + board dashboards
- Snowflake / Looker / data warehouse readiness
You cannot fix a higher layer if a lower one is broken.
Most agencies sell you Layer 3 work — workflows, sequences, scoring. It’s easier to demo. It’s easier to scope. But if Layers 1–2 aren’t solid, those workflows will degrade quietly until the next CRO takes the blame.
- 1Stack map + integration audit (Layer 1)
- 2Data model rebuild (Layer 2)
- 3Workflow + lifecycle (Layer 3)
- 4Reporting + dashboards (Layer 4)
Things teams ask before engaging.
Always. Every engagement, regardless of size, begins by mapping the source stack. If we find Layer 1 is healthy, we move up — fast. If it’s broken, we won’t pretend otherwise.
Then you don’t need an architecture engagement — you need scoped consulting. We’ll either fold it into a Retainer or refer you to someone whose pricing fits better.
No. Without the audit we’re building blind, and our risk-reversal SLAs don’t apply. We won’t take engagements without one.
No. Most engagements are Salesforce → HubSpot, but we work with companies on HubSpot already, on Pipedrive, or evaluating CRMs.
Two things. (1) We have shipping engineers, not just consultants — integrations are code, not configurations. (2) We refuse to start at Layer 3, which is where most agencies live.
The four-layer framework is documented publicly here. The diagnostic rubric, scoring weights, and our internal playbooks are not.
Score your stack against the four layers.
12 questions. 4 minutes. Personalized score per layer + recommended next move.