Cash flow & FP&A

Your cash view, ready before Monday.

An operator reads your actuals, rolls the 13-week cash forecast forward and explains what changed against budget. Your team approves before anything is shared.

  • ISO 27001
  • GDPR
  • Every run auditable

Illustrative forecast · Vireo Group

Cash by entity

from Monday's bank export

  • Italia€1.9M
  • Deutschland€1.5M
  • UK€0.8M

Total€4.2M

  • Vireo_13wk_cash_W44.xlsx
  • Vireo_CFO_review_W44.pptx

13-week closing cash

Buffer €2.0M€1.85MW44W49W03
  • December payroll with the thirteenth month−€0.95M
  • Quarterly supplier run−€0.70M
  • Ostia Retail receipt slips to W50−€0.40M

Suggested: Move the supplier run to W50, or draw €0.2M on the revolving facility.

Post the pack and the week-to-watch note to #finance-leadership in Slack

Declined · not retried

Enterprises running operators on Alomana

  • up to 80%

    less time on reporting and manual finance work

  • 40–80%

    shorter month-end close

  • 13 weeks

    rolling cash view, week by week

  • 24 hours

    from first files to a working forecast

What the operator does each cycle

The model is yours. The operator does the weekly rebuild.

  • ActualsReads the ERP export, bank balances and the budget file
  • 13-week cashRolls the forecast forward from AR, AP and payroll dates
  • Week to watchNames the week cash drops under your buffer, and why
  • VarianceExplains budget against actual down to the driver
  • What-ifsRe-runs the forecast when you change an assumption
  • The packBuilds the Excel model and the review deck, and posts them when you say yes

How the operator runs a forecast cycle

  1. Connect

    Exports, Google Sheets, SharePoint, Snowflake.

  2. Compute

    It runs the forecast in code, in its sandbox.

  3. Approve the pack

    You say yes. It posts and logs it.

Nothing is shared without a yes.

  • Posting the pack or writing to a system waits for a person's yes
  • A declined action is not retried
  • Every run logged: input, output, tools, user
Run recordVireo_13wk_cash_W44.xlsx
  • Inputs: the six files above
  • Code: forecast and variance run in Python in the operator's sandbox
  • Output: the Excel model, the deck and the note

Approved by G. Ferri, FP&A lead · posted · logged

What it reads, and what it keeps private

Measured on
Hours per forecast cycleForecast against actual, week by weekDays from month-end to the variance packWeeks of cash visibility
Works with
Excel and CSV filesGoogle SheetsGoogle DriveSharePointSnowflakePostgreSQLSlackYour ERP via MCP
Trusted for
ISO 27001GDPRNever trains on your dataSingle-tenant for enterprise

A custom operator typically goes live in up to 4 weeks.

Questions, answered

What is an AI forecasting operator?

An autonomous agent that runs your forecast cycle. It reads your actuals, bank balances and budget, rolls the 13-week cash forecast forward, explains budget against actual down to the driver, and drafts the Excel model and review deck for your team to approve.

Does it replace our planning software or our model?

No. It works from what you already use: ERP exports, your forecast spreadsheet, Google Sheets, SharePoint, or a Snowflake or PostgreSQL warehouse. It returns an Excel model and a deck your team can open, check and keep.

Can we trust the numbers?

The operator runs the forecast and the variance math as code in an isolated sandbox, from the files you give it, and every run is logged: input, output, tools and user. Your team reviews the model and the commentary before anything is shared.

Which systems does it connect to?

Alomana has 20+ connectors, including Google Sheets, Google Drive, SharePoint, Snowflake, PostgreSQL and Slack, activated per deployment. Your ERP connects through a remote MCP server or the exports you already run. Bank balances come from your bank export.

Can it run every week on its own?

Yes. An Alomana workflow can start the operator on a schedule, for example every Monday at 7:00, so the forecast is ready before the review. Posting the pack or writing to a system still waits for a person's yes.

Is our financial data private?

Alomana is ISO 27001 certified and GDPR-compliant, and your data is never used to train AI models. Enterprise deployments run single-tenant, in a dedicated instance.

Bring last month's actuals.

Talk it over with sales: what the operator needs from your systems, and how it goes live.

Alomana is a secure enterprise AI platform where autonomous agents, called operators, run business processes end to end. Every run is fully auditable.