For SaaS and AI companies

Revenue and AI costs, ready for the board.

Connect accounting and Stripe, bring infrastructure and AI costs into context, and use the same current numbers for forecasts, board reporting, and AI analysis through Model Context Protocol (MCP).

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  • 01Accounting and Stripe in one view
  • 02Revenue, infrastructure, and AI costs
  • 03MCP access for compatible AI tools
Finance teams running on Control
A finance stack that keeps up

The export you sent the board is already stale.

Revenue, cash, infrastructure, and model costs often live in different systems. Every reporting cycle starts by collecting and reconciling them again, leaving a small finance team to maintain the data instead of explaining the business.

One live view

Accounting, billing, and operating costs in one structure.

Board reporting

Management reviews, budgets, and forecasts run on current actuals.

AI access

MCP-compatible tools read the same structured financial data.

How Control helps

Use one set of actuals for revenue, runway, and the board.

01
Connected source data

Bring accounting, billing, and operating costs into the same financial view.

Connect the ledger and Stripe, then add relevant cost data outside accounting when needed. Revenue, cash, infrastructure, and model costs can use one reporting structure.

  • Accounting actuals and cash from connected ledgers
  • Stripe customers, subscriptions, invoices, and payments
  • Import supporting cost data into the same structure
Connected sourcesLive
AccountingActuals and cash
StripeCustomers and invoices
Cost dataCloud and model usage
ControlOne finance view
02
Reporting for decisions

Use the same current numbers for operating reviews and board reporting.

Build financial statements, dashboards, and custom layouts on one set of actuals. Move from headline performance into the accounts, counterparties, and transactions driving it.

  • P&L, balance sheet, cash flow, and dashboard views
  • Custom formulas for gross margin, ARR, MRR, and burn
  • Drill-down from board-level figures to source entries
Management P&LJune 2026
ItemActualPlan
Revenue218,400205,000
Cloud & model costs−31,840−34,200
Payroll & other costs−125,360−118,000
Operating result61,20052,800
03
Built for MCP

Give AI tools live financial context instead of another exported file.

Control exposes the same structured, traceable financial data over MCP. Ask for explanations and analysis while preserving the accounts, periods, entities, and transactions behind the answer.

  • MCP access for compatible AI tools
  • Finance-native context for variance questions
  • Source references back to Control data
Finance assistantVia MCP
Why did gross margin improve in June?
CONTROL

Revenue grew faster than infrastructure and model costs. The largest contribution came from core subscriptions.

Sources · P&L · 42 transactions
Product walkthrough

Ask AI about the actuals.

Watch an AI assistant use Control over MCP to retrieve a vendor-level spend breakdown and the accounts behind it. The answer stays grounded in structured actuals.

From source to decision

Connect once. Use the numbers everywhere finance works.

Control replaces the recurring export and reconciliation layer with one connected finance layer for daily decisions, formal reporting, and AI workflows.

  1. 01Connect

    Link accounting and billing

    Bring actuals, cash, customers, and invoices into Control.

  2. 02Structure

    Define the reporting structure

    Map accounts, costs, counterparties, and relevant dimensions.

  3. 03Operate

    Use one live finance view

    Run management, board, budget, and variance reporting together.

  4. 04Extend

    Use the data with AI

    Make the same traceable numbers available to MCP-compatible tools.

See it with your numbers.Start for free
Customer proof

How Inven and Taito.ai run reporting without exports.

Inven and Taito.ai kept their existing operating tools while replacing manual data movement with connected financial reporting.

Inven · AI for M&A

Existing financial models, refreshed automatically every day.

Inven replaced accounting and billing exports with scheduled data updates into the Google Sheets models its finance team already used.

Read the customer story Taito.ai · AI and HR technology

Revenue, AI costs, and board reporting from one foundation.

Taito.ai connected its source data early and built an operating and board reporting layer without first creating a temporary spreadsheet process.

Read the customer story
FAQ

Can this fit a fast SaaS finance stack without another data project?

Connect the systems you already use, then keep operating metrics, board views, forecasts, and AI analysis on the same actuals.

Can Control connect accounting and Stripe?

Yes. Control has direct accounting integrations and a separate Stripe connection for customers, subscriptions, invoices, and payments.

Can we report cloud or AI model costs alongside revenue?

Yes. Relevant cost data can be brought into Control and viewed alongside accounting and billing data.

Do we need a dedicated finance systems team?

No. Control is designed so finance teams can connect systems and use the reporting layer without building and maintaining a separate data warehouse or BI project.

Can the original budget remain fixed while we reforecast?

Yes. Control preserves the approved original budget and supports separate forecast versions that can be compared with live actuals.

How does MCP access work?

Control provides read-only MCP access to structured financial data for compatible AI tools. The AI tool can work with the financial context without relying on pasted exports.

  • ISO 27001 certified
  • Core platform hosted in Finland
  • Nothing is written to your ledger without approval

Build the finance layer once.

Start free by connecting accounting and Stripe. Book a demo to see revenue, cost reporting, forecasting, and MCP in one flow.

Start for free Book a demo