Revenue Ops

AI for revenue operations

Find the revenue you are already earning but not billing, and keep the commercial machine's data honest.

Discuss a revenue ops pilot How the platform works

Revenue operations is where the largest single number usually hides. In usage-based businesses, the gap between what was delivered and what was billed is routinely material — and finding it is reconciliation work at a scale humans cannot cover. Alongside that sits the unglamorous data hygiene that determines whether a forecast means anything. Both are shaped for agents.

Use cases

Where revenue ops gets automated first

Revenue assurance and leakage detection

Reconcile usage, entitlement and billing across the chain to surface rating errors, unbilled services and configuration drift.

Flagship

Quote-to-cash quality assurance

Validate quotes against the price book, check the order against the quote, and check the invoice against the order — every time, not on sample.

Coverage

Pricing and catalogue operations

Catalogue configuration, price change rollout verification, promotion margin checks and competitive price monitoring.

Commercial

Partner and settlement reconciliation

Wholesale, interconnect and revenue-share settlement, dispute preparation and partner statement validation.

Partners

CRM hygiene and pipeline quality

Deduplication, enrichment, stage-integrity checks and close-date sanity, so the forecast rests on something real.

Data

Forecast rollup and deal inspection

Weighted rollups, risk flags on single-threaded and stale deals, and the questions to ask in the pipeline review.

Forecast

Commission and quota calculation

Plan application, dispute research and payout reconciliation across territories and plan versions.

Comp

Deal desk and proposal assembly

RFP response assembly from an approved answer library, pricing approval routing and proposal production.

Sales

Churn and retention signal

Assemble the account health picture from usage, support and billing signals, and prepare the save motion before the renewal.

Retention

How it works

From tacit process to supervised operation

Every engagement follows the same four moves, whichever function it starts in — run by a forward deployed engineer embedded with the team that owns the process.

How we deliver

Reconcile the chain end to end

Network or product usage, entitlement, rating, invoicing and collection are modelled as one flow so gaps become visible rather than inferred.

Prove the finding before you act

Every leakage candidate arrives with the underlying records and the calculation, so revenue and finance can validate it independently.

Fix the cause, not the case

Recurring patterns are traced back to the catalogue, the integration or the process that generates them.

Price the programme on what it finds

Recovered revenue is measurable, which makes this the rare AI programme that can be funded from its own results.

Industries

Other operations: Tech Ops User Ops Finance Ops People Ops Procurement Ops

Let's talk about the first process

Tell us the operation that costs the most and is documented the least. We will tell you honestly whether it is a good first candidate.

Start a conversation info@magnigent.com