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Automotive / OEMs Operations / Contract Management
Case study 06

The 7-Day Bottleneck Solved: Automating Insurance Contracts and Rate Updates

From a 7-day workflow to 1 day. 99 percent accurate. Half the operating cost.

7 days → 1 day

Processing time

99%

Accuracy

On contracts and rate data

50%

Cost reduction

Operational expenses

99.6%

Time-to-market improvement

Built with AI Pipeline on AWS, ExtractQ

The challenge

The client was spending 6 to 7 days manually extracting and validating contract terms, business rules, and rate tables from BRDs, CSVs, and Excel sheets. Every cycle was prone to errors, delays, and rework. With multiple OEMs in the pipeline, the bottleneck was capping how fast the business could move on new programs.

The solution

A new AI pipeline, hosted on AWS, automated the work end to end while keeping a human checkpoint where it mattered.

  1. The pipeline ingests source documents and rate data directly.
  2. AI extracts every relevant field and applies the configured business rules.
  3. A human-in-the-loop reviewer validates generated templates at the gate that needs judgment.
  4. Final templates and complete audit logs are generated automatically.

Total run time, end to end, is under 1 day.

Results

Processing time collapsed from 7 days to 1 day.

99 percent accuracy on contract terms and rate data, with the human-in-the-loop layer catching the rest before anything ships.

50 percent reduction in operational expenses with no additional headcount.

99.6 percent improvement in time-to-market, turning a multi-day blocker into a near-instant step.

Added impact

The client saved roughly $100K within just 3 months of release. As the solution rolls out to more OEMs, projected annual savings are $1M. More importantly, development cycles that used to stall on contract processing now move at near-instant pace, which has a compounding effect on how fast new programs reach the market.

Start the conversation

Bring your hardest workflow. We'll show you the agent.

A 30-minute discovery call. Bring your biggest operational pain point: a claims backlog, the month-end close, invoice intake, disclosure reporting. We'll walk through exactly how OrgWorkspace would run it.