Case study/Autonomous AP

Limbach’s Shared Services Journey to Autonomous AP

Limbach case study cover
About Limbach Holdings
Founded
1901
Industry
Construction
Revenue
>$500M
# Employees
>1500

Limbach Holdings, a 125-year-old publicly traded leader in MEP (Mechanical, Electrical, and Plumbing) services, recognized Shared Services as a strategic cornerstone for scaling operations and driving operational excellence. As part of their commitment to autonomous finance and AI-driven transformation, Limbach sought a partner who could revolutionize their AP processes while supporting their aggressive acquisition strategy.

Decision criteria

With this strategic commitment to technology enabled Shared Services, Limbach conducted a comprehensive evaluation of leading technology providers, honing their requirements and focusing on key selection criteria:

  • AI-First Technology: After experiencing limitations with traditional OCR solutions, Limbach prioritized true AI capabilities for superior accuracy and automation.
  • Scalable Architecture: The solution needed to support rapid integration of acquired companies without increasing manual workload.
  • Proven Accuracy: Complex multi-page vendor and subcontractor invoices, including AIA documents, required advanced processing capabilities beyond basic automation.
  • Cost Efficiency: Reducing manual intervention and processing costs while maintaining high accuracy was crucial.

"The more we leverage AI, the more impactful it becomes. OpenEnvoy has not only improved our AP processes but also set us up for success in acquisitions and scalability. This is just the beginning of our journey."

Dom Traina, EVP of Shared Services, Limbach Holdings

Solution implementation & early insights

Limbach selected OpenEnvoy as their strategic partner for Autonomous AP implementation. During the early stages of deployment, several promising indicators have emerged:

  • AI Performance: Initial testing demonstrates OpenEnvoy's AI technology is capable of processing complex, multi-page invoices with significantly higher accuracy than traditional OCR solutions.
  • Scalability Potential: The platform architecture shows strong capability for supporting future acquisitions without adding manual workload.
  • Strategic Alignment: OpenEnvoy's collaborative implementation approach aligns well with Limbach's vision for AI-driven autonomous finance.
  • Foundation for Growth: The implementation is establishing the technical foundation needed for broader shared services initiatives.

Expected impact

As the implementation progresses, Limbach anticipates:

  • Substantial reduction in manual processing time
  • Improved accuracy rates across complex invoice types
  • Enhanced ability to scale through acquisitions
  • Accelerated progress toward autonomous finance goals

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