# Selected work.

Systems we built and run for organizations that handle private information. We do not name our clients.

## Triage across 3 TB of patient records.

A regional health system

**The problem.** About 3 TB of patient records had to be classified and triaged, and the work was being done by hand.

**What we built.** A supervised classifier trained on their data. It reads every record, sorts it, and puts the patients most likely to be at risk first.

**Where people decide.** Clinical staff work from the prioritized list instead of reading every record.

**What changed.** About 93% agreement with clinicians, and it cut the staff time and resources the review took.

- Model: Custom classifier, trained on their data
- Task: Classify records and rank by risk
- Review: Clinical staff, from the ranked list

## Prior authorizations, prepared by an agent.

A hospital system

**The problem.** Prior authorizations took a large share of staff time, most of it spent gathering and checking information across systems.

**What we built.** An AI agent that pulls what each request needs from the health record system, internal databases, and outside sources, reasons across them, and prepares the case.

**Where people decide.** Staff review wherever a person needs to decide. The agent does the research; people make the call.

**What changed.** Much of the research and preparation now happens without staff doing it by hand.

- Sources: Health record, databases, outside sources
- System: AI agent with human review
- Review: Staff, wherever a decision is needed

## Fraud and abuse, classified by a model.

A bank

**The problem.** The bank needed instances of fraud and abuse picked out of its records reliably.

**What we built.** A language model fine-tuned on the bank's own data, which classifies each instance as fraud, abuse, or neither.

- Model: Fine-tuned language model
- Task: Fraud and abuse classification
- Data: The bank's own records

## Document triage, after legal AI fell short.

A law firm

**The problem.** The firm needed its documents triaged, and the leading legal AI products it had tried could not do it.

**What we built.** An AI agent, built for the firm's own documents and categories, that reads each document and triages it for the lawyers.

- System: AI agent
- Task: Document triage
- Before: Leading legal AI products fell short

Contact: https://www.grayhavenindustries.com/contact · tyler@grayhavenindustries.com · (405) 320-8212

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Grayhaven Industries · https://www.grayhavenindustries.com/work