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Financial forecasting that adapts to reality, not the calendar

Rolling forecasts and scenarios that recalibrate as the business moves—governed by your finance team, with model lineage, sensitivity ranges, and approval gates the audit committee can sign off.

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The problem

Forecasts age the moment they're approved

  • Quarterly reforecasts are already stale

    By the time finance closes a reforecast cycle, sell-through, FX moves, and channel shifts have already changed the picture—leadership steers with last quarter's map.

  • Scenarios live in fragile spreadsheets

    Sensitivity to FX, demand, or pricing lives in a handful of model files owned by a few analysts. One sick day, one broken link, and the scenario story stops.

  • No defendable model lineage

    Auditors ask which inputs drove which forecast and which version went to the board. The trail is partial, the version control is informal, and explainability is anecdotal.

  • AI pilots stall before audit sign-off

    Data-science prototypes show lift in the lab but fail to pass internal audit because governance, approval workflows, and override accountability were not designed in.

How it works

A continuous forecast layer your finance team owns

Step 1

Ingest signals

Sales, ERP, marketing, FX, and operational signals normalized into a single governed feature store—refreshed on the cadence finance trusts.

Step 2

Predict & explain

Forecasts with confidence ranges, driver attribution, and what changed since the last cycle—surfaced where finance already works (Excel, BI, internal portal).

Step 3

Approve & publish

Finance owns the override layer: lock assumptions, attach commentary, and publish board-ready scenarios with full lineage and reviewer trail.

Flow is adapted to your close calendar, ERP, and forecast cadence.

Financial forecasting that adapts to reality, not the calendar

What's included

Forecasting your auditorsand CFO can defend

Models, governance, and explainability in a single layer—delivered on Synapse with finance-owned approval gates and audit lineage from day one.

Rolling forecast engine

Weekly or daily recalibration on the cadence your business actually moves at—no quarterly lag.

Driver decomposition

Each forecast comes with the top drivers, sign and magnitude—so finance defends the number with evidence, not intuition.

Scenario library

Pre-built FX, demand, pricing, and macro scenarios; finance can fork, lock, and publish new ones without engineering.

Approval & override gates

Finance retains authority: assumptions can be overridden, locked, and signed by a named reviewer with timestamp.

Model lineage & audit trail

Every published forecast traces back to inputs, model version, reviewer, and approval moment—ready for internal audit.

Excel & BI integration

Surfaces in the tools finance already uses; no separate workflow to maintain.

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Results

What changes when this runs in production

Results vary by context, data maturity, and scope. We scope honestly before we promise precisely.

+15–25%

improvement in forecast accuracy (MAPE) vs. quarterly cycle

Orientative—varies by data quality and cycle length.

60%

less time spent on manual reforecasts each cycle

Orientative—based on early implementations.

Full

model lineage and approval trail for every published scenario

How we work

From first call to production—without the usual drag

Assess

Week 1–2

Map current forecast cycle, data sources, governance gaps, and the top decisions the forecast must support.

Design

Week 3–5

Define driver hierarchy, approval gates, sensitivity ranges, and which scenarios are board-facing.

Build

Week 6–10

Integrate ERP/CRM signals, train and validate models against historical cycles, design the override UX with finance.

Govern & scale

Week 11+

Audit sign-off, finance-owned operations, expand scenarios and segments by quarter.

Timelines vary by ERP complexity, data quality, and audit requirements.

Get started

Ready to forecast at the cadence your business actually moves at?

No commitment. We start with a scoped session to map your close cycle, data, and governance needs.

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