Adds $23,387.50 for King Construction Inspection's inspector services at Calvin Simmons turf field

This amendment adds $23,387.50 to an agreement with King Construction Inspection, Inc., which provides the inspector who checks construction work on the Calvin Simmons Turf Field Replacement-UFSA Life Academy Project. The agreement's not-to-exceed limit goes from $0.00 to $23,387.50. Work is scheduled to run from February 26, 2026 to August 26, 2026.

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

Vendor / partner: King Construction Inspection, Inc. · Oakland, CA
Action: Amendment
Category: School buildings & construction
Term: Feb 26, 2026 – Aug 26, 2026
This vote: $23,387.50
Previous total: $0
New total: $23,387.50
Schools: Calvin Simmons, UFSA Life Academy
Funding: Fund 1 General Fund ELOP
Resource / site: 2600 335
Vendor no.: 007828
Presented by: Deputy Chief, Facilities Planning and Management
File: 26-0239 · agenda O.-1
Outcome: Adopted on the General Consent Report, Feb 25, 2026

Official text

Approval by the Board of Education of Amendment No. 1, Master Project Agreement for Inspector of Record Services by and between the District and King Construction Inspection, Inc., Oakland CA, for the latter to provide Inspector of Record Services for the Calvin Simmons Turf Field Replacement-UFSA Life Academy Project, in an additional amount of $23,387.50, increasing the Agreement’s not-to-exceed amount from $0.00 to $23,387.50, with work scheduled to commence on February 26, 2026, and scheduled to end on August 26, 2026. All other terms and condition of the Agreement remain in full force and effect.

History

Feb 25, 2026 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.