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Tool 13 · Explainable AI

Confidence &
Explainability Engine

Understand exactly why the platform made a recommendation. Every prediction is decomposed into weighted feature contributions — not a black box.

Attribution Model
SHAP (Shapley Additive)
Prediction
Bayesian Confidence Score
12
Feature Factors
Live
Predictions
XAI
Explainable AI
What Is This Tool?

This tool answers the question: "Why should I trust this AI recommendation?"

For any SAP project scenario you describe, the engine calculates a Project Success Probability and breaks it down factor by factor using SHAP attribution — showing you exactly which factors are helping or hurting your confidence score.

Use it to validate estimates, justify recommendations to clients, or identify the single biggest risk to address first.

Live Demo

Project Confidence Analyser

Adjust the sliders to describe your project. The confidence score and SHAP attribution update instantly.

Quick-load a Scenario
Upload Document
PDF, DOCX, TXT, CSV, XLSX — drag & drop or click
Project Inputs — Adjust to Predict
Confidence Score
Project Success Probability
SHAP Attribution — Why This Score?

Each bar shows how much that factor contributes to (or detracts from) the confidence score. Longer green bar = stronger positive driver. Red = risk factor dragging down confidence.

AI Explanation
Architecture

How Explainability Works

Every confidence score is fully decomposable into its contributing factors

SHAP (Shapley Values)
From cooperative game theory — each feature's contribution is calculated by averaging its marginal contribution across all possible orderings. Guarantees fair attribution even when features correlate.
Bayesian Confidence
Prior probability from historical SAP project outcomes (68% on-time/on-budget industry average). Feature sliders update the posterior using Bayesian inference to produce a calibrated success probability.
Live Prediction
Every slider movement instantly re-computes the confidence score and SHAP values using in-browser calculation — no server round-trips. Changes are visible within 50ms of slider adjustment.
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