Legislation Details

File #: 2026-0875    Version: 0 Name: Harris ERP Modernization and Gemini Enterprise Enablement Contract Approval
Type: MOTION Status: IN BOARD OF TRUSTEES
File created: 8/31/2026 In control: Board of Trustees
On agenda: 9/9/2026 Final action:
Title: Harris ERP Modernization and Gemini Enterprise Enablement Contract Approval
Attachments: 1. OrlandPark-Harris-ERP-Modernization-SoW.pdf
Title

Harris ERP Modernization and Gemini Enterprise Enablement Contract Approval

History

The Information Technology Department is requesting Board approval to enter into a Statement of Work (SOW) agreement with Zion Cloud Solutions (ZCS) for the Harris ERP Modernization & Decommission Gemini Enterprise Enablement project in the total amount of $24,999.

The Village of Orland Park previously operated on the Harris MSI ERP platform for daily municipal operations. Following the Village's transition of live operations to its current primary system of record, the legacy Harris platform has been retained strictly in a read-only capacity for the purpose of preserving access to historical municipal records and financial documents. Maintaining the Harris platform in this reference-only capacity incurs recurring software licensing costs of $85,000 per year and requires the Village to maintain aging on-premise SQL Server 2017 infrastructure in service.

Under this proposed agreement, Zion Cloud Solutions will extract the historical Harris ERP data and documents into a secure, access-controlled Google Cloud environment. Authorized Village staff will be granted access through Google Gemini Enterprise using two integrated retrieval capabilities:

Historical Records Search (Unstructured Data): Enables staff to perform plain-language searches to locate and open historical documents-such as permits, code cases, and correspondence-with direct links to underlying source files. Optical Character Recognition (OCR) will be applied to scanned images and PDFs to ensure complete searchability.

Conversational Data Analytics (Structured Data): Enables staff to ask numeric and financial questions (such as annual collections, account receipts, and historical transaction totals) in natural language, returning accurate answers computed directly from BigQuery source data.

The architecture includes comprehensive security, data residency, and governance controls, including host loca...

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