Case Study · Accelerating Work Orders with AI

Dairyland Power

      70,000+ Hours Saved
      Enhanced Work-Life Quality
      Improved Safety & Compliance
    

Try Agent Talk to Us

About the company

Diaryland Power is a leading energy cooperative with decades of experience, powering communities across multiple states with reliable and sustainable energy solutions.

The challenge

The problem statement

Time-Intensive Updates

Foremen spent 1–2 hours per work order, researching multiple safety guidelines.

Field Challenges

In harsh weather conditions, manual data entry in Dynamics 365 was inefficient.

High Volume

100+ daily work orders meant significant lost productivity and morale.

The approach

How Lyzr solved it

An AI agent automatically gathers relevant safety clauses from various sources, updates the work order, and submits it for foreman approval. Human-in-loop oversight ensures accuracy in hazardous conditions.

Results

The outcome

70,000+ Hours Saved

Equivalent to $1.5 million in cost savings per year.

Enhanced Work-Life Quality

Foremen spend less time on laptops in extreme weather.

Improved Safety & Compliance

Consistently accurate inclusion of all required guidelines.

Security

How Lyzr handled security

Data Residency

The data resides within the customer's own cloud, ensuring 100% ownership and adherence to data residency requirements.

Compliance

Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, ensuring enterprises can run their critical workloads safely.

Reflection

Lyzr's reflection module reduces the chances of hallucination. This feature is enabled in most critical applications for higher accuracy.

Similar case studies

Got a use case in mind?

8 weeks to production.
What does your first agent look like?

Every deployment in this case study started with one conversation. Bring your use case, your stack, your constraints. We'll show you the path from here.

Talk to Us Agent Studio

Dairyland Power