01
instead of black-box scoresSemantic credit rating
Transparent features and citations finance can defend.
Risk, Finance & Strategy
Score, forecast, and control: with answers you can take to the board.
Credit, forecasts, competitors, project success: where a wrong number is expensive.
Why did we miss the forecast by €1,200,000, and can we still act?
Three accounts + one price change explain the variance, drivers cited while there’s still time to course-correct.
1 Sales pipeline × controlling actuals · month-close rules
Projects we deliver
02
instead of gut partner picksPartner scoring
Score partners on risk, performance, and fit: shared definitions.
03
instead of post-mortem variance decksForecast deviation analysis
explain misses while there’s still time to course-correct.
04
instead of slide-ware competitor packsCompetitor analysis
Market signals you keep updating, not a one-off PDF.
05
instead of hope-based project controlProject success prediction
Flag at-risk projects early with transparent drivers.
Common questions
Answers to what people actually ask
What is semantic credit rating and how is it more transparent than a black-box score?
Semantic credit rating produces a credit score built on transparent features and citations that finance teams can defend to auditors, instead of an opaque black-box model nobody can explain.
How can AI explain a forecast miss while there's still time to act?
Forecast deviation analysis identifies the specific accounts, deals, or price changes that explain a variance while there's still time in the period to course-correct, instead of a post-mortem explanation delivered after the quarter closes.
How does AI flag at-risk projects before they fail?
Project success prediction scores in-flight projects on transparent risk drivers and flags at-risk ones early, replacing hope-based project control with a specific, explainable early warning.
Risk, Finance & Strategy
Tell us the decision. We’ll map the project.
A short call on the question that matters, and the right first step.