Case Studies

Proven in production

Overview

Real results from deploying AI systems across finance, legal, and sales. Not demos. Production systems handling real data.

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Contract clause caught that internal team and paid vendor both missed

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Accuracy vs paid extraction vendor at fraction of the cost

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Contract search reduced from 10-30 minutes

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Annual vendor tool replaced with higher accuracy

Finance & Accounting

Automated financial reporting across ERP systems

The problem

Finance teams spending days on month-close processes. Data trapped in NetSuite and QuickBooks that required manual extraction. Reporting tools costing $15K-60K/year that didn't connect to all their systems and required constant manual cleanup.

What Orin did

  • Daily financial data pipeline from NetSuite to reporting
  • Natural language queries against live financial data
  • Automated reconciliation across systems
  • Budget vs actuals variance reporting

Results

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With 2x the accuracy

Days to minutes

Month-close reporting prep automated

Self-service queries

FP&A analysts query data in plain English

Legal & Contracts

Contract intelligence that catches what humans miss

The problem

Contracts scattered across systems. Manual review bottlenecks slowing deals. Hidden obligations buried in dense legal language. Expensive outside counsel for work that could be pre-screened.

What Orin did

  • 7 specialized extraction agents for contract intelligence
  • Pre-screening bot for legal counsel review
  • Revenue share extraction across all BD contracts
  • Natural language contract search

Results

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Missed by both internal team and paid vendor

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Reduced from 10-30 minutes per lookup

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Legal counsel focuses on the 10 that matter

Data Analysis

45 minutes instead of 3-4 hours

The problem

Analyzing 1,968 SKUs across multiple database views, multiple ERP systems, and several Excel files. Traditional approach: open GUI tool, run queries one at a time, copy-paste to Excel, manually cross-reference. Estimated 3-4 hours.

What Orin did

  • Explored 381 database views, identified relevant tables
  • Batched 1,968 SKUs across 15 queries automatically
  • Caught data bugs (column shift, wrong SKU format)
  • Cross-referenced databases, Excel files, emails, and meeting notes

Results

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Including exploration, debugging, documentation

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Data bugs caught automatically

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Analyzed with full traceability

See it with your data

We'll connect to your actual systems in the demo. Real data, real results.

Request a Demo