Waimia.
DEPARTMENT

AI
Forecasting

Your forecast is a frozen file, redone every quarter, already wrong the next day. We replace it with a living forecast that refreshes on your actual figures and alerts you the moment it drifts.

Revenue forecastCash flowPipelineScenariosDrift alerts
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Finance management · Executive management · CFO
Editorial illustration: ink forecast trajectory, the drift gap marked in terracotta.
§ The plan nobody believes

Three reasons the future happens to you.

  1. The frozen forecast

    The annual budget is carved in January then frozen. Every quarter, the gap with reality widens. We steer on a plan nobody believes anymore, because reforecasting means redoing it all by hand.

  2. Cash discovered too late

    Cash tension shows up the month it lands, not before. No time to negotiate a delay, accelerate a collection or push back a spend. The SME endures its cash instead of steering it.

  3. The lying pipeline

    The sales forecast is a sum of optimisms: every deal is "almost signed". Projected revenue never resembles actual revenue. Without honest weighting, the forecast becomes an act of faith, not steering.

§ Frozen / living

The file carved in January
or the forecast that breathes.

The frozen forecast

Redone by hand, already wrong

  • A budget carved in January that's never reforecast.
  • Cash tension seen the month it lands, not before.
  • A pipeline inflated with optimism, never weighted.
  • A decision that waits for the close to correct itself.
The living forecast

Refreshed on actuals

  • A trajectory that updates itself on your actual figures.
  • Three months of cash visibility to negotiate in time.
  • A pipeline weighted by real probability, not by hope.
  • An alert the moment the trajectory drifts, to correct early.
§ From pipeline to alert

Four views to see it coming.

Workflow
Model
Gain
How
01
Pipeline

Weighted revenue projection

Claude Sonnet 4.6
+ CRM
honnête
Every deal is weighted by its real probability, not by the salesperson's optimism. Projected revenue finally moves closer to actual revenue.
02
Cash

Cash trajectory

Claude Sonnet 4.6
+ billing
+90j
Real collections, disbursements and delays feed a cash trajectory over the coming months. Tension is visible before it lands.
03
Scenarios

Costed hypotheses

Claude Opus 4.8
3
Before each decision, three costed scenarios: cautious, expected, ambitious. We arbitrate on compared figures rather than a single intuition.
04
Vigilance

Drift alerts

Claude Haiku 4.5
+ alerting
tôt
As soon as the real trajectory diverges from the forecast, a commented alert reaches the CFO. The correction is decided early, not at the close.
Visibility gained

What the living forecast gives back.

  • +90j of cash visibility ahead
  • auto refresh on actual figures
  • 3 costed scenarios per decision
  • 3,6× ROI measured at 12 months
Client case · Tech scale-up

Halcyon, tech scale-up.
Three months
of cash visibility.

Halcyon redid its forecast by hand every quarter, and discovered its cash tensions the month they landed. Waimia deployed a living forecast plugged into the pipeline, billing and collections: weighted revenue projection, cash trajectory, costed scenarios for each decision and alerts whenever the trajectory drifts. The team now has roughly three months of cash visibility and arbitrates on honest scenarios rather than a frozen annual plan.

See full case →
Results
+90j
cash
visibility
auto
forecast
refreshed
3,6×
ROI measured
12 months
§ Where to start

Which forecast to wire first?

  1. 01 Does your cash surprise you every month? Start with the cash trajectory: it buys back the most room to manoeuvre.
  2. 02 Does your pipeline inflate then disappoint? Start with the weighted revenue projection, to realign sales forecast and reality.
  3. 03 Do you decide on instinct? Start with costed scenarios, to compare cautious, expected and ambitious before each decision.
  4. 04 Do you always correct too late? Wire drift alerts last: they turn the three views into a system that warns you.
§ The model, brick by brick

What projects, weights
and alerts.

Typical stack · AI Forecasting
Category Tool Role
Reasoning model Claude Sonnet 4.6 Scenario building, pipeline weighting and drift reading.
Creative model Claude Opus 4.8 Complex hypothesis modelling and trade-off recommendations.
Volume model Claude Haiku 4.5 Continuous refresh of the actual data feeding the model.
Data layer DuckDB · BigQuery · Snowflake Real data layer serving as the forecast base.
Connectors HubSpot · Pipedrive · Stripe · Sage Sources of the sales pipeline, collections and cash.
Durable workflow LangGraph Forecast cycle orchestration, alerting, human validation.

You see it coming.
You decide early.

45 minutes. We look at how you forecast today, we price the model that gives you the most visibility. If we have nothing to offer, we say so.