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Facility Management Automation: Building an Agent-Driven Operations Platform

MNDA

Seed to Series A Startup
Company Type
New York, United States
Location
Team augmentation
Engagement Model
1 - 5 people
Team Size
9 - 12 Months
Duration
$100K - $150K
Budget

About

We built an AI-powered platform for a facility services company to automate and centralize maintenance operations. It includes an agent that handles inbound requests (phone, SMS, email), interprets messages, and triggers workflows. The backend manages work orders, technician assignment, tracking, invoicing, and payments - cutting admin tasks and improving response times.

Challenge, approach, and impact

Fragmented Communication Channels

Facility teams were managing work orders through disconnected tools such as phone, email, and SMS, making it difficult to track requests, follow up with technicians, and ensure timely resolution. This fragmentation led to service delays and reduced visibility into task progress.

Manual Work Order Processing

The client’s operations relied heavily on manual workflows for creating, assigning, and updating work orders. This approach was error-prone and time-consuming, especially as their service volume increased with business growth.

Lack of Centralized Coordination

Without a unified backend system, the coordination between customer support, field technicians, and back-office teams was inefficient. This gap created delays in billing, technician scheduling, and customer communications.

How we built

AI & ML Solutions
CRM
ERP
Conversational AI
Web Apps
ChatGPT
API

Testimonials

Xavier Iribarnegaray, Fullstack Developer @ Pento.ai

Pento.ai

Verified Testimonial

Working on this facility maintenance automation platform has been one of the most impactful projects of my career. Designing a multi-channel AI agent capable of managing real-time communication across multiple channels required a deep understanding of orchestration and error handling. What made this project stand out was building the operational platform around the agent, including work orders, technician dispatch, payments, and invoicing. Seeing how our work replaced fragmented manual processes with a unified, intelligent system was incredibly rewarding. Working closely with their in-house team enabled us to seamlessly align business goals with technology, resulting in a project that excels in both areas. This project output continues to exceed not only mine but also our customer’s expectations.

Team structure

Client team

David T's avatar

David T

CEO

Project stakeholder

Josh A's avatar

Josh A

CTO

Daily point of contact

The client stakeholders were working closely with the team at Pento.ai

Agency team

1 x Fullstack Developer's avatar

1 x Fullstack Developer

Production

1 x Tech Lead's avatar

1 x Tech Lead

Governance

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