DecisionShield — AI Decision Readiness & Risk Audit Platform

DecisionShield is an AI-powered decision auditing platform that helps users determine whether they have enough evidence to make a reliable decision.

Unlike general-purpose chatbots such as ChatGPT or Claude that primarily generate answers or recommendations, DecisionShield analyzes the decision itself.

Users provide a decision, options, requirements, constraints, and context. Gemma transforms this unstructured information into structured facts, assumptions, claims, unknowns, risks, and missing evidence.

A graph-based AI workflow orchestrates specialized analysis stages such as evidence extraction, assumption detection, risk analysis, missing-evidence discovery, and stress-scenario generation.

A deterministic decision engine then evaluates evidence coverage, requirement coverage, assumption load, risk coverage, and unknown information to calculate a reproducible Decision Readiness Score.

DecisionShield also performs decision stress testing by generating realistic what-if scenarios, modifying critical decision variables, measuring their impact, detecting decision flips, and identifying conditions that could invalidate the current decision.

The final output is an interactive Decision Audit Report containing:

• Decision Readiness Score
• Facts and assumptions
• Unknown information
• Critical risks
• Missing evidence
• Stress-test results
• Decision stability
• Recommended verification actions

Gemma is used as the reasoning and interpretation layer, while deterministic backend logic handles scoring, validation, scenario evaluation, and governance. The system does not allow the LLM to directly determine the final numerical score or make the final decision.

DecisionShield does not replace human decision makers. It helps them understand whether their decision is sufficiently supported by evidence before they commit.

In short: ChatGPT helps answer a question. DecisionShield helps determine whether you are ready to make the decision.