Adds $74,000 for SCA Environmental's school site lead testing and cleanup, to $99,000

This amendment raises the contract limit from $25,000 to $99,000 for environmental services to reduce risk at school sites, including water lead testing and removal of hazardous waste or debris during site recovery. The term is unchanged, July 1, 2024 through June 30, 2025. The board is ratifying it, meaning approving it after work began.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Vendor / partner: SCA Environmental, Inc. · San Francisco, CA
Action: Amendment
Category: School buildings & construction
Term: Jul 1, 2024 – Jun 30, 2025
This vote: $74,000
Previous total: $25,000
New total: $99,000
Funding: Property & Liability
Resource / site: 9031-987
Vendor no.: 003786
Presented by: Chief Financial Officer
File: 24-3112 · agenda L.-16
Outcome: Adopted on the General Consent Report, Jan 8, 2025

Official text

Ratification by the Board of Education of Amendment No. 1, Services Agreement 2024-2025 by and between the District and SCA Environmental, Inc., San Francisco, CA, for the latter to provide environmental related services to reduce risk at the school sites, which includes but are not limited to collection of environmental samples, such as water lead testing and removal of hazardous waste or debris during site recovery, for the unchanged period of July 01, 2024 through June 30, 2025, in the additional amount of $74,000.00, increasing the Agreement not to exceed amount of $25,000.00 to $99,000.00, via the Risk Management Department. All other terms and conditions of the Agreement remain in full force and effect.

History

Jan 8, 2025 Adopted on the General Consent Report

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.