SLED Opportunity · CALIFORNIA · COUNTY OF SAN MATEO

    Organizational Change Management (OCM) Study

    Issued by County of San Mateo
    countyRFPCounty of San MateoSol. 209147
    Closed
    STATUS
    Closed
    due Feb 28, 2026
    PUBLISHED
    Feb 4, 2026
    Posting date
    JURISDICTION
    County of
    county
    NAICS CODE
    541611
    AI-classified industry

    AI Summary

    The County of San Mateo seeks a consultant to conduct an Organizational Change Management study assessing workforce, structure, and processes impacted by emerging technologies to modernize public service delivery.

    Opportunity details

    Solicitation No.
    209147
    Type / RFx
    RFP
    Status
    open
    Level
    county
    Published Date
    February 4, 2026
    Due Date
    February 28, 2026
    NAICS Code
    541611AI guide
    Agency
    County of San Mateo

    Description

    The purpose of this study is to assess and align ACRE’s workforce, organizational structure, and business processes with its evolving technological environment. The consultant will evaluate the impacts of emerging technologies—such as Artificial Intelligence, Machine Learning, and Intelligent Agents—on job classifications, workflows, and service delivery. The study will also review the integration and interoperability of key business systems, including Salesforce, GIS, document management, and election platforms, to identify opportunities for efficiency, automation, and improved public access to services.

     

    ACRE employs 167 full-time staff across the Assessor, Clerk-Recorder, and Elections divisions, representing a wide range of technical, analytical, and customer service roles impacted by modernization. The consultant will assess business and technical requirements to ensure alignment between ACRE’s modernization strategy, workforce capabilities, and service outcomes. This includes evaluating organizational readiness, identifying workforce impacts, developing training, communication, and stakeholder engagement strategies to support effective adoption of change.

     

    A successful study will deliver a future-ready organizational framework, modernized classification structures, and a clear roadmap to guide workforce transitions and sustain innovation in delivering efficient, transparent, and people-centered public services to the residents of San Mateo County.

     

    Key dates

    1. February 4, 2026Published
    2. February 28, 2026Responses Due

    AI classification tags

    Frequently asked questions

    SLED stands for State, Local, and Education. These are solicitations issued by state governments, counties, cities, school districts, utilities, and higher education institutions — as opposed to federal agencies.

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