See what happens before you change it
Ask Enso AI what happens if you raise prices 8%, move Tier 2 commissions to 16%, change your marketplace take rate, or lose your three riskiest renewals. It models the answer on your live contracts, ARR, revenue schedules and commission plans in seconds, and shows the trail behind every number.
Book a Demo| Tier | Quota attainment | Rate |
|---|---|---|
| Tier 1 | 0–50% | 10% |
| Tier 2 | 50–100% | 15%16% |
| Tier 3 | 100%+ | 20% |
Why forecasts drift from reality
The decisions that move revenue get modelled on data that stopped being true the day it was exported.
- 01Models start from stale exports
Every scenario begins with a pull from the CRM, the billing system and your ERP, stitched together in a workbook. By the time it reaches the exec meeting, three contracts have been amended and a renewal has churned.
- 02Commission changes are priced in the dark
The comp plan is a 42-page PDF and the model is a spreadsheet beside it. Change one accelerator and nobody can say what it costs across last year's deals, so changes ship on gut feel or don't ship at all.
- 03Pricing changes ignore what customers signed
A list-price increase looks simple until it meets renewal caps, multi-year uplifts, ramps and exit clauses. The real ARR impact lives in contract terms that top-down models never see.
- 04Revenue impact shows up at audit
One allocation call, like valuing support at 9% or 25% of a bundle, can move $315K between obligations and shift revenue across years. Today the board finds out after the auditor does.
Ask the question. Enso builds the model.
Contracts, usage, invoices, cash and commission plans already live in Enso, kept current every day. There is no export and no separate planning dataset to maintain.
Ask Enso AI in plain English, inside Enso or from your own AI tools over MCP. It builds the scenario on the fly: the ARR waterfall across new, expansion, contraction and churn, revenue by year, and commission spend by rep.
See the current and proposed plans side by side against budget. When you publish, every affected deal recalculates. Nothing reaches your books until your team approves.
Model the decisions that move revenue
- Pricing and take rates
Raise list prices, change tiers, add a usage component, or move your marketplace take rate and ad-credit pricing. See ARR, seller payouts and revenue by year, gross or net, with each contract's renewal caps and uplifts applied automatically.
- Commissions
Replay last year's deals on a new plan before it goes live. Moving Tier 2 to 16% across 212 deals costs $320K and stays within a 10% budget. Launch a SPIFF mid-quarter and see what it costs first.
- ARR and retention
Run churn, contraction and expansion scenarios through to closing ARR, with net and gross retention by segment, product or cohort. See which renewals carry the most risk.
- Revenue recognition
Preview what an ASC 606 policy call does to the schedule before anything posts, like $210K moving into this year, with the clause and decision behind it recorded for audit.
We used to argue about the commission plan for a month and then guess. Now RevOps replays last year's deals on the new plan in the meeting, and we decide with the number in front of us.
Common questions
- No. Scenario planning runs on the same contracts, invoices, cash and commission plans Enso already uses to bill, recognize revenue and pay commissions. There is no second dataset to reconcile, so every scenario starts from numbers your auditor would recognize.
- No. Scenarios are drafts. Nothing posts to your ERP and no payout changes until your team publishes the change and approves the resulting entries.
- Signed contract terms, usage, invoices, payments, ARR movements, revenue schedules and commission plans, all kept current in Enso. You can cut any scenario by customer, segment, product, rep, team or region.
- Yes. Enso AI is available over MCP, so you can ask scenario questions from the AI tools your team already uses and get answers grounded in your live Enso data, with the same permissions as in the app. If financial data can't leave your environment, run Enso AI on open-source models hosted inside your own infrastructure instead.
Is this a separate FP&A tool?
Does modelling a scenario change my books?
What data does a scenario use?
Can I ask from Claude, ChatGPT or my own tools?
Related features
Ready to see it in action?
Book a 30-minute demo and see how Enso handles your specific billing and revenue workflows.
