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Diagnostic & Reasoning Assistants

Multi-hypothesis and causal reasoning agents that analyze root causes, explore counterfactuals, and synthesize complex chains of thought.

Description

Works from symptoms toward causes: generating candidate explanations, testing them against available evidence, and narrowing down. Investigation rather than lookup.

When it fits

Recurring investigation of things that went wrong, where the space of causes is large but bounded and prior cases exist to learn from.

When it does not fit

Novel failure modes with no precedent. The assistant will confidently map a new problem onto the nearest familiar pattern.

Governance requirement

Candidate causes must be presented as hypotheses with their supporting evidence, not as a conclusion. The ranking is a starting point for a person, not a finding.

Characteristic failure

Anchoring on the most common cause and stopping. The rare cause that actually explains this instance goes unconsidered because a plausible one was found first.

Example

An exception investigator that proposes three possible causes for an unexplained variance, each with the prior resolutions and records supporting it, ranked but not decided.

AI solution components14
  • Symptom-to-Diagnosis Reasoner
  • Legal Fact Pattern Analyzer
  • Failure Cause Attribution Agent
  • Multi-Hypothesis Explorer
  • Causal Graph Generator
  • Evidence Confidence Estimator
  • Domain-Guided Reasoning Layer
  • Outcome Likelihood Forecaster
  • Bias-Aware Diagnostic Engine
  • Red Teamed Reasoning Validator
  • Temporal Logic Reasoner
  • Multimodal Evidence Integrator
  • and 2 more