Contract
Source terms arrive with customer, period, commitment, credits, and amendment context.
Revenue automation for complex SaaS contracts
Revflow
Revenue work should explain itself.
Convert contract language into reviewed billing configuration, usage-backed invoices, revenue schedules, and audit evidence. AI assists the work; deterministic controls decide what becomes financial state.
SOC 2 Type II Compliant Enterprise ready Secure & scalable Built for finance Loved by teams
Contract termsAnnual commit + usage overage
Minimum, credits, metered API calls, quarterly invoice cadence.
AI draft
Meter accepted
Minimum edited
Credits held for review
Invoice evidence$42,860
The operating system
From messy terms to traceable revenue.
AI Review
Extracted fields stay draft until a reviewer accepts, edits, or rejects the evidence.
Pricing
Approved terms become explicit plans, meters, price rules, and billing cadence.
Usage
Events are ingested and aggregated against the active contract period.
Invoice
Draft invoices expose quantities, line items, calculation snapshots, and approvals.
Revenue
Schedules translate invoice context into period-based recognition evidence.
Audit
Every decision and generated artifact remains traceable by actor and time.
Why it feels controlled
AI where it helps. Proof where it matters.
Human review before activation
AI speeds up intake, but finance-impacting configuration only moves forward after structured approval.
Pricing you can explain
Meters, price rules, aggregates, and invoice snapshots make every amount inspectable.
Revenue schedules with context
Period, amount, invoice, contract, and calculation evidence stay connected for review.
Controls across every route
Role-aware navigation is paired with direct page and API authorization checks.
Who it serves
One workflow. Different controls for each seat.
Configure customers, catalog, contracts, usage, invoices, and schedules without losing source evidence.
Approve finance-impacting drafts only after the extracted terms, invoice totals, and revenue context are inspectable.
Keep navigation, membership, and capability boundaries aligned with the workspace operating model.
Trace each AI-assisted or deterministic change back to actor, entity, timestamp, and after-state evidence.