Nov 24, 2025

Eliminating Manual Data Work With Subterra’s Agentic AI Pipeline

Eliminating Manual Data Work With Subterra’s Agentic AI Pipeline

Eliminating Manual Data Work With Subterra’s Agentic AI Pipeline

Case Study — Eliminating Manual Data Work With Subterra’s Agentic AI Pipeline

Client Overview

A local Louisiana business relied on a heavily manual workflow for collecting, manipulating, and entering operational data. The process consumed 15–20 hours per employee per cycle, with three employees required to complete the recurring task.

This repetitive workload limited growth and caused internal bottlenecks that stretched across multiple departments.

The Challenge

The client needed a solution that could:

  • Pull data from multiple internal and external sources

  • Clean, normalize, and manipulate information to match strict internal formats

  • Eliminate the human error inherent in manual data entry

  • Process large batches of data reliably and consistently

  • Remove the labor burden on three internal employees

  • Deliver real-time results while maintaining a provable accuracy standard

Their existing process required 60+ labor-hours every cycle, caused delays, and routinely introduced errors.

Subterra’s Solution: A Fully Agentic AI Automation Pipeline

Subterra Technologies engineered a complete agentic AI workflow that automates the entire data lifecycle with no human intervention.

The pipeline:

  1. Monitors and detects new data from predefined sources

  2. Extracts, validates, and interprets incoming information using rule-based and AI-based logic

  3. Cleans, manipulates, and restructures data to align with the client’s internal schemas

  4. Transforms and standardizes the final dataset into the required operational format

  5. Syncs and writes the results into the client’s system with auditability and version control

  6. Runs continuously, fully hands-off

This replaced all manual spreadsheet work while improving consistency and reliability.

Performance & Accuracy

Since deployment, the system has achieved:

  • 99.3% accuracy across the last 300+ automation triggers

  • Stable processing with zero downtime

  • Consistent output regardless of data volume or complexity

This accuracy rate significantly outperforms human error rates for comparable tasks and provides a measurable, defensible benchmark of system quality.

Impact & Results

Metric

Before Subterra

After Subterra

Weekly labor hours

60+ hours across 3 employees

0 hours (fully automated)

Accuracy

Human error common

99.3% accuracy over 300+ consecutive triggers

Cycle time

Multi-day

Instant

Workload

Low-value, repetitive tasks

Employees redeployed to high-impact work

Productivity

Constrained by manual processes

Scalable operations without new hires

Three employees no longer perform any of the manual data tasks.
Their time is now used for customer-facing or revenue-producing responsibilities.

Business Transformation

The automation didn’t just streamline a workflow—
it fundamentally upgraded how the business operates:

  • No more backlog or late updates

  • No weekend “catch-up” data sessions

  • No risk of transcription errors

  • Faster decision-making with live-processed data

  • Leadership can expand operations without scaling labor

  • A stable automation layer the business can build future workflows on

The new agentic system has become a core part of their operations.

Conclusion

Subterra’s agentic AI automation pipeline delivered:

  • A 100% elimination of manual data manipulation

  • Over 60 hours of weekly labor reclaimed

  • 99.3% measurable accuracy across 300+ real triggers

  • Instant processing instead of multi-day cycles

  • Greater operational capacity without hiring

This project showcases Subterra’s ability to deliver real operational transformation using intelligent, stable automation.

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