Project 11 of 50 — Agentic AI Portfolio

Facility Management Operations Automation Agent

A production-grade autonomous AI system that eliminates manual operations overhead for facility management companies. Three fully automated pipelines powered by LangGraph and GPT-4o: client onboarding, pricing, and contract renewal.

Live Demo GitHub Repo Deploy for My Business
2hr
Client Onboarding
was 2 to 5 days
<5m
Pricing Turnaround
was 4 to 8 hours
98%+
Validation Accuracy
GPT-4o + ABN API
1hr
Renewal Processing
was 3 to 5 days
Architecture

Three Autonomous Agent Pipelines

Each pipeline is a LangGraph multi-agent graph with GPT-4o at the reasoning layer and full audit logging. Zero manual steps from trigger to output.

Pipeline 01

Multi-Phase Client Onboarding

Accepts CSV uploads for 8 data phases. Handles 100,000+ rows via Celery async chunked processing. GPT-4o validates each row, verifies ABNs in real time, and generates a structured exception report with fix suggestions.

CSV Ingestion Agent Validation Agent Bulk Action Agent Data Export Agent
Pipeline 02

Email-Triggered Pricing Engine

Monitors Gmail via OAuth2. On detecting a CSV attachment, automatically routes to the pricing pipeline. Applies base rates, volume discounts, regional multipliers, and pro-ration. GPT-4o resolves edge cases and outputs a PandaDoc proposal in under 5 minutes.

Email Trigger Agent Pricing Calculation Agent Proposal Export Agent
Pipeline 03

Renewal Management

Ingests renewal CSVs covering additions, vacations, price increases, and cancellations. Calculates mid-contract pro-ration. GPT-4o validates reasoning, flags anomalies, generates PandaDoc contracts, and exports line-itemized invoices to Xero.

Renewal Calculation Agent Contract Generation Agent Invoice Export Agent
Business Impact

The ROI Case

Every metric tied to measurable business outcomes across three fully automated pipelines.

Problems Solved

  • Client onboarding taking 2 to 5 days due to manual CSV validation across 8 data phases
  • Pricing proposals requiring 4 to 8 hours of manual calculation and document preparation
  • Contract renewals delayed 3 to 5 days due to manual pro-ration and invoice generation
  • 70 to 80% data validation accuracy with no real-time ABN verification
  • Invoice generation requiring 2 to 4 hours of manual Xero entry per renewal cycle

Before vs After

Operation Before After Gain
Client Onboarding 2 to 5 days 2 hours 95% faster
Pricing Turnaround 4 to 8 hours <5 min 98% faster
Renewal Processing 3 to 5 days 1 hour 96% faster
Data Validation 70 to 80% 98%+ +18pp accuracy
Invoice Generation 2 to 4 hours 0 hours 100% automated
Technical Stack

Production-Grade From Day One

Every component chosen for enterprise reliability, scalability, and maintainability.

LangGraphAgent Framework
GPT-4oAI Reasoning
FastAPIBackend API
React + TailwindFrontend
MongoDB AtlasPrimary DB
SupabaseSecondary DB
Celery + RedisTask Queue
PandaDoc APIContracts
Xero APIAccounting
Gmail APIEmail Trigger
ABR APIABN Validation
Docker + RailwayDeployment
Portfolio

More Enterprise Systems

Part of a 50-project series of production-grade agentic AI solutions built for enterprise clients.

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Project 10 / 50
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Want This for Your Business?

I design and deploy custom FM operations automation systems. Typical engagement: $5K to $15K. 4 to 6 week delivery. Production-ready.

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