CI/CD for Revenue · RevOps
Gate ops work before it touches production
Dokeo is CI/CD for Revenue: every scan runs the same deterministic checks used in production, across all 17 supported content types, with no black-box review.
How does the RevOps gate work?
Same engine, different adapter. RevOps objects (automations, syncs, attribution models) carry their own type-specific checks: logic validation, coverage analysis, freshness scoring. The five-severity verdict and the Object/Policy/Test/Issue loop are identical.
- The same draft always returns the same verdict, safe to block a CI pipeline on.
- Every FAIL names the specific check that failed and why.
- 100 free scans a month, no credit card, same gate as production.
Intelligence layer
RevOps intelligence, not just validation.
The gate runs the checks. The intelligence layer finds the patterns. Automation logic, attribution drift, ops context, all surfaced before changes reach production.
Automation Intelligence
Auto-analyze routing logic for coverage gaps, circular fallbacks, and capacity violations before rules reach production. Catch what manual review misses at scale.
Attribution Drift Detection
When channels shift or models age, the gate flags stale attribution logic that produces misleading credit. Surface the drift before it distorts pipeline decisions.
Ops Context
Surfaces operational patterns: which syncs break most, where routing gaps cluster, what rule changes correlate with pipeline disruption. Intelligence, not incident reports.
Agent-Ready Data
Expose ops verdicts, routing intelligence, and sync quality signals to RevOps agents via MCP. Agents build, test, and deploy automations autonomously.
If this is your week, you care a lot
- ✗Automation rules ship to production without a test, and you find bugs in pipeline reviews
- ✗Data syncs break silently and the downstream impact surfaces in weekly reports
- ✗Attribution models go stale as channels shift, producing misleading credit
- ✗Territory definitions change and nobody verifies the handoff logic still routes correctly
What the gate gives you
- One five-severity verdict on every ops object before it touches production data
- Policy-based checks on sync logic, attribution accuracy, and territory coverage
- Same deterministic gate whether rules were built by a RevOps engineer or auto-generated
- The same Object/Policy/Test/Issue loop that runs on content, extended to revenue operations
How the loop runs on RevOps
Same nine-step loop as content. Different adapter, different checks, same verdict.
Scenario
A new lead routing automation being deployed to production in HubSpot
Object
Routing rule definition ingested: criteria (region + deal size + vertical), target owner, fallback logic
Policy
Policy requires: 100% territory coverage (no unrouted leads), no circular fallbacks, capacity limits respected, SLA compliance
Test
Coverage analysis, circular-reference check, capacity simulation, SLA-window validation
Issue
FAIL: 'EMEA leads with deal size $50K-$100K route to nobody. Gap between territory A ($0-$50K) and territory B ($100K+)'
Fix
RevOps extends territory A to cover $0-$100K or creates a new territory. Fix recorded
Verify
Re-test confirms 100% coverage, no circular fallbacks, all capacity limits within bounds
Deploy
Routing rule pushed to HubSpot workflows. Deployment record created with rollback path
Monitor
Weekly routing audit flags leads that hit fallback logic or exceed SLA windows
dokeo test routing-rule-emea-q3 → PASS (coverage 100% no-circular ✓ capacity ✓ sla ✓) → ready to deploy
dokeo test routing-rule-emea-q3 → FAIL (coverage gap: $50K-$100K EMEA unrouted, 3 leads/day affected) → blocked
Status: Coming
The RevOps domain has 6 registered object types and 4 check functions. No test adapter or customer is connected yet.
Same intelligence layer. Different adapter.
Content proves the loop works. RevOps connects next.