OptOps Investigator

Investigation You Can Follow

When understanding complex events, human operators build up a hypothesis of what happened and assess it based on the evidence at hand. They gather data, consider alternatives, and refine their understanding until they reach a conclusion. This investigative process is fundamental to effective facility operations.

It's important that our AI can do this too. OptOps Investigator provides a framework by which an AI can investigate a situation, gather and assess evidence, and come to a conclusion. Crucially, it ensures that the entire process is transparent and easy for the human operator to follow, understand, and give feedback on.

Key Features

Structured Investigation

The AI follows a clear investigative process: forming hypotheses, gathering evidence, testing assumptions, and drawing conclusions. Each step is documented and visible to the operator.

Full Transparency

Every piece of evidence the AI considers, every hypothesis it forms, and every conclusion it draws is visible to the operator. You can see exactly how the AI reached its conclusion and verify the reasoning yourself.

Evidence Gathering

The AI systematically gathers relevant evidence from your archived data, event logs, documentation, and the Model-Network. It knows what to look for and where to find it.

Hypothesis Testing

Rather than jumping to conclusions, the AI forms multiple hypotheses and tests them against the evidence. It considers alternative explanations and indicates its confidence level in each.

Operator Feedback

Operators can provide feedback at any point in the investigation. Correct a mistaken assumption, add context the AI might have missed, or steer the investigation in a different direction.

Causal Analysis

The AI traces cause and effect through your facility's systems, using the Model-Network to understand how signals relate and how events propagate. It identifies root causes, not just symptoms.

How Investigations Start

Manual via OptOps HQ

Query the AI assistant directly in OptOps HQ. Ask it to investigate a specific anomaly, time range, or event. The assistant will launch an investigation and walk you through its findings.

Automatic via Monitor

When OptOps Monitor identifies something that warrants deeper analysis, it can automatically trigger an investigation. The AI investigates while you're notified of the findings.

Why Transparency Matters

Many AI systems operate as black boxes. They give you an answer, but you have no way of knowing how they got there. In critical facility operations, that's not acceptable. You need to be able to verify AI conclusions, catch errors, and build confidence in the system's judgement.

OptOps Investigator is designed from the ground up for transparency. Every step of the investigation is visible. You can see what data the AI looked at, what hypotheses it considered, and why it reached its conclusion. If something seems off, you can dig in and understand what happened.

This transparency also enables continuous improvement. When operators provide feedback on investigations, that feedback can be used to improve future analyses. The AI learns from corrections and becomes more effective over time, but always in a way that remains visible and verifiable.

Ready for AI Investigation You Can Trust?

Get in touch to learn how OptOps Investigator can bring transparent AI analysis to your facility.