Billing changes should have tests.

BillCI runs deterministic invoice simulations, produces line-item diffs, and blocks billing regressions before invoices ship.

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Think: GitHub Actions for billing.

Regression tests

Gate contract, catalog, and pricing-rule changes with blast-radius diffs.

Invoice certification

Deterministic recompute + line-item proofs you can reproduce.

Explainability

Versioned rule sets and a full audit trail for every charge.

Early access

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Tell us what you bill for. If you’re a fit, we’ll reach out with a short demo.

How it works

CI/CD for billing correctness.

Connect contract terms + pricing rules + usage aggregates. BillCI simulates deterministically, generates diffs, and gates risky changes—so billing regressions don’t reach customers.

1) Ingest

Contracts, amendments, catalogs, usage exports.

2) Simulate

Deterministic rating engine + versioned rule sets.

3) Gate + certify

Blast-radius diffs and line-item certification proofs.

Example output

$ billci certify invoice_2026_01.json --contract A-17
✔  CERTIFIED  (99.2% of invoice $ covered)
Δ  3 issues found

1) rounding_semantics_mismatch
   expected: monthly aggregation
   actual:   daily aggregation
   delta:    +$12,481.17

2) amendment_effective_date
   A-17 effective: 2026-01-12
   invoice applied: 2026-01-01
   delta: -$4,902.00

3) tier_boundary_regression
   rule_set: pricing/v3.2 → v3.3
   impacted_customers: 241
   max_delta: $81,904.11

Who it’s for

Billing / Monetization Eng

Ship pricing changes safely with regression tests and diffs.

Finance / RevOps

Certify invoices and reduce disputes + manual audits.

Sales Ops

Validate enterprise contracts faster with “bill impact” reports.

FAQ

Is this a billing platform replacement?

No. BillCI is a verification + certification layer that complements existing billing systems.

What do you need to be accurate?

At minimum: contract terms + pricing rules + usage aggregates. More inputs increase coverage.

What’s the “CI” part?

We simulate proposed changes, produce a blast-radius report, and block regressions.

Can you help with disputes?

Yes—line-item diffs + reproducible proofs create a clean dispute packet.