SMPL.ai for Finance teams on Maxio

SMPL.ai is FP&A and financial intelligence software for SaaS Finance teams that run billing and revenue recognition on Maxio. Maxio holds your recurring revenue actuals between the CRM and the ERP. SMPL brings them together with pipeline, general ledger, and workforce data for connected reporting, forecasting, budgeting, and Plan Assurance. SMPL leads the integration and implementation, including data mapping, configuration, and financial validation.

What Maxio data supports in SMPL

In a typical SaaS stack, the CRM holds the pipeline, Maxio holds billing, ARR, and the revenue recognition sub-ledger, and the ERP holds the general ledger. Maxio is the source of truth for what customers are actually subscribed to and billed for, which makes it the foundation for these workflows.

  • ARR waterfall and retention from billing actuals

    Subscriptions, components, and MRR movements in Maxio become the monthly ARR waterfall: beginning ARR, new business, expansion, contraction, churn, and ending ARR, with net and gross revenue retention calculated using your company's definitions.

  • Recognized and deferred revenue

    Revenue schedules and contract data from Maxio's revenue recognition sub-ledger show how ARR turns into recognized revenue and deferred revenue, which then feed the income statement and balance sheet.

  • Invoicing and cash timing

    Invoices and payments show when billed revenue becomes cash. Annual prepaid and monthly contracts with the same ARR produce very different cash curves, and the cash forecast reflects that difference.

  • Budget and forecast measured against billing

    The budget and forecast are built from plan drivers. Maxio supplies the actual ARR they are measured against, so variance is plan versus billed reality rather than one plan compared with another.

Combined with the rest of your operating data

The questions a board asks cross all three systems. Why did ARR grow faster than revenue? Why did cash lag both? Answering them requires billing, pipeline, and the ledger in one model.

  • CRM for pipeline and bookings

    Maxio records the subscription once a deal is won. Salesforce or HubSpot shows what is still in the pipeline. Together they support a bookings forecast and an ARR forecast that start from the same customers.

  • General ledger for the financial statements

    NetSuite, Sage Intacct, QuickBooks Online, or another ledger holds posted revenue, expense, and cash. SMPL ties billing ARR and recognized revenue to the ledger and shows the bridge where they differ.

  • Workforce data for cost and capacity

    Headcount and compensation from your HRIS drive operating expense and sales capacity, so a hiring change shows up in both the cost base and the bookings the team can deliver.

What you can produce and decide

  • Board-grade ARR that reconciles

    An ARR waterfall and retention view built on Maxio actuals, tied to CRM bookings and ledger revenue, with the differences explained rather than averaged away.

  • A budget built on governed actuals

    A driver-based operating budget across the income statement, balance sheet, and cash flow statement, starting from the ARR and balances Maxio and your ledger already hold.

  • An answer to whether the plan can be delivered

    Plan Assurance tests the plan built on those actuals against coverage, retention floors, and cash floors, and shows which assumption breaks first under stress.

  • Explanations the board can follow

    Commentary is drafted from calculated movements, such as expansion or churn in a given segment, and every figure can be traced to the billing, CRM, or ledger record behind it.

Illustrative example. Salesforce shows $1.2M of closed-won new business for the quarter, but new ARR in Maxio is $0.95M. The bridge shows two contracts with start dates next quarter and one multi-year deal whose ramp starts lower. The board sees one reconciled ARR figure, and the forecast moves the delayed starts into the right months for revenue and cash.

SMPL leads the implementation

Your Finance team should not have to redesign its billing setup or build a data model to get planning and board reporting on top of Maxio. SMPL takes responsibility for the data integration, mapping, configuration, and financial validation. Your team supplies the definitions, reviews the results, and makes the decisions.

  1. 1

    Agree scope and access

    We confirm which Maxio products you use for billing and for revenue recognition, which periods matter, and whether SMPL connects to Maxio with read-only access or works from standard Maxio exports.

  2. 2

    SMPL maps billing to the model

    SMPL maps customers, products, subscriptions, invoices, and MRR movement categories to the ARR waterfall and applies your definitions, such as when a contract counts toward ARR.

  3. 3

    SMPL connects the rest of the stack

    CRM pipeline, the general ledger, and workforce data are mapped to the same customers, departments, and periods, so ARR, revenue, and cash are calculated together.

  4. 4

    Validate together

    SMPL ties ending ARR to Maxio, recognized revenue to the ledger, and closed-won bookings to new ARR. Your team reviews the differences and confirms the treatment.

  5. 5

    Refresh on your close calendar

    After go-live, your team initiates each refresh when your books close, on your own close calendar, and can load intra-month cash or pipeline data whenever you need a current view.

Discuss your Maxio environment

Bring a short description of how you use Maxio for billing and revenue recognition, which CRM and ledger sit on either side of it, and what your board package includes today. We will walk through how SMPL would connect it and what your team would see at the end of implementation.

Frequently asked questions

What FP&A software works with Maxio?
SMPL.ai is FP&A and financial intelligence software for SaaS Finance teams, and it uses Maxio billing, ARR, and revenue recognition data together with CRM, general ledger, and workforce data for connected reporting, forecasting, budgeting, and Plan Assurance. SMPL leads the integration and implementation, including data mapping, configuration, and financial validation.
Does SMPL.ai replace Maxio?
No. Maxio stays where it is and continues to own quote-to-cash, billing, and revenue recognition. SMPL reads Maxio data and builds planning, forecasting, and board reporting on top of it. SMPL does not write back to Maxio.
How does Maxio data get into SMPL.ai?
As part of implementation, SMPL either connects to Maxio with read-only access or works from standard Maxio exports, depending on which Maxio products you use and your security requirements. SMPL maps and validates the data. After go-live, your team initiates each refresh when your books close, on your own close calendar, and can load intra-month cash or pipeline data whenever you need a current view.
Will SMPL.ai use Maxio's ARR or calculate its own?
SMPL applies your company's ARR definition consistently. Where your Maxio configuration already reflects that definition, SMPL uses it; where the board definition differs, SMPL documents the adjustment and shows the bridge, so both numbers are explainable.
Why would a company that already has Maxio reporting need SMPL?
Maxio reports billing and recurring revenue actuals. SMPL connects those actuals to pipeline, the general ledger, and workforce data to build the forecast, the three-statement budget, Plan Assurance, and the board package, so Finance does not assemble that picture by hand each month.

More integrations

Related reading: Billing ARR vs CRM ARR · ARR, revenue, cash & headcount in one model · Budgeting & Plan Assurance · ARR waterfall vs GAAP revenue

Maxio, Salesforce, HubSpot, NetSuite, Sage Intacct and QuickBooks Online are trademarks of their respective owners. Names are used only to identify the systems SMPL.ai works with and do not imply affiliation with, or endorsement by, those companies.