---
title: "AI Case Studies: Real Results from Real Workflows | Rotational Labs"
description: See how Rotational Labs projects cut review time by 90%, sped up RFP responses by 60% and lowered incident triage cost by 53%. Start with a free Proof of Value.
---

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    - [Endeavor overview](https://rotational.ai/endeavor?hsLang=en)
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    - [Use cases](https://rotational.ai/solutions/use-cases?hsLang=en)
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Case studies

# Real results from real workflows.

Nine Rotational Labs projects across cybersecurity, supply chain, financial services, professional services, healthcare, EdTech and utilities. Each one started with one workflow and a goal we could measure.

[Book a free Proof of Value](https://rotational.ai/proof-of-value#book)[Browse case studies](https://rotational.ai/case-studies#all)

**90%**less manual review*Supply chain*

**53%**lower incident triage cost*Cybersecurity*

**≥95%**data extraction accuracy*Financial services*

**60%**faster RFP responses*Professional services*

IndustryAll *9*Cybersecurity *3*Supply chain *1*Financial services *1*Professional services *1*Healthcare *1*EdTech *1*Utilities *1*

Supply chainBuilt & deployed

Featured

## Automating risk monitoring with LLMs

Challenge

A global supply chain risk provider had analysts reading tens of thousands of news articles a week to spot threats. Earlier machine learning gave inconsistent results.

What we built

A domain-specific LLM news filter, built with open-source models and transfer learning. It became part of the provider's core product.

[Read the case study →](https://rotational.io/case-studies/automating-with-llms)

**90%**less manual review time

**75%**higher accuracy

**20 hrs**of analyst time back each week

CybersecurityBuilt & deployed

### Security incident triage

A system that analyzes security incident reports and recommends remediation.

**53%**lower cost to triage security incidents

[Ask us about this project →](https://rotational.ai/proof-of-value#book)

CybersecurityBuilt & deployed

### Automating vendor questionnaires

Analysts reviewed long third-party security questionnaires line by line to check vendors against standards.

**33%**less manual review time

**27%**more accurate risk flagging

What we builtTwo domain-specific LLMs, trained on proprietary data and NIST standards, that classify, evaluate and flag vendor responses.

[Read the case study →](https://rotational.io/case-studies/automating-vendor-questionnaires)

Professional servicesBuilt & deployed

### RFP intelligent response

A consulting firm faced a growing volume of RFPs, with slow, inconsistent and sometimes non-compliant responses.

**60%**faster response time

**15%**higher win rate

What we builtA system that learns from past winning proposals and each client's requirements to draft tailored, compliant responses.

[Read the case study →](https://rotational.io/case-studies/rfp-intelligent-response)

Financial servicesBuilt & deployed

### Financial document extraction

A system that extracts sensitive, unstructured data from complex financial filings.

**≥95%**accuracy pulling data from financial documents

[Ask us about this project →](https://rotational.ai/proof-of-value#book)

HealthcareBuilt & deployed

### Voice of employees

An HR team categorized survey comments by hand, so insights were stale by the time they reached leadership.

**70%**less analysis time

What we builtAutomated categorization, sentiment analysis, topic modeling and issue ranking, with live dashboards for HR and executives.

[Read the case study →](https://rotational.io/case-studies/hr-employee-voice)

EdTechAI assessment

### Evaluating hardware and chipsets

An EdTech company needed to know how two NPU boards would handle image and text AI in its products.

**20%**faster inference

**15%**less memory used

What we builtA custom benchmarking framework measuring inference speed, memory and efficiency, then tuning to remove bottlenecks.

[Read the case study →](https://rotational.io/case-studies/evaluating-hardware-and-chipsets)

CybersecurityAI assessment

### The modern SOC

A security operations center covering 2.3 million endpoints needed to scale without overloading its analysts.

**40%+**potential efficiency gain

Projected in the assessment, not yet measured.

What we builtAn assessment of operations and data, and a prioritized roadmap of automation projects with costs and impact metrics.

[Read the case study →](https://rotational.io/case-studies/the-modern-soc)

UtilitiesData foundations

### Real-time monitoring of power transmission

A multi-state utility's grid sensors produced more data than its systems and analysts could keep up with. Analysis ran weeks or months behind.

**Hourly**grid-wide insight, instead of weeks or months

What we builtDeep learning models for each line and bus, combined into grid-wide models that detect voltage sags and usage patterns.

[Read the case study →](https://rotational.io/case-studies/real-time-monitoring-transmission-power)

How every project starts

## Your results could be the next case study

1

### Pick one workflow

We start with work that matters and has a result you can measure.

2

### Build it on your data

A working version on your own documents and systems, scored by your experts.

3

### Decide with evidence

You see the results before you commit to anything more.

## See it working on your own work.

Free, engineer-guided Proof of Value. Go live only if it works.

[Book a Proof of Value](https://rotational.ai/proof-of-value#book)

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