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Written Question Deadline: July 8th, 2026
Addenda Published: July 17th, 2026
Proposal Due Date: July 29th, 2026
Tentative Interviews: Week of August 17th, 2026
Selection/Negotiations: August/September 2026
Expected City Council Authorizations: September/October 2026
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
City Of Ann Arbor
The City seeks to obtain and implement an Information Technology Service Management (ITSM) solution, along with related professional services, to replace its current system. The new solution must deliver a modern, intuitive user experience, support scalable service management processes, and facilitate the application of IT service management best practices, including ITIL-aligned capabilities suitable for the organization's size and complexity.
Key objectives are to enhance IT service delivery efficiency, improve visibility into IT service performance through comprehensive reporting and analytics, and offer a significantly better customer experience for employees requesting IT services. The system should also provide improved asset tracking and management throughout their lifecycle, enable data-driven decision-making, and reduce the administrative complexity of platform maintenance and configuration. It is essential that IT staff can easily configure workflows, notifications, and service catalog items independently.
From a user functionality standpoint, the ITSM platform should include an intuitive self-service portal, enable users to monitor status updates, communicate with IT staff, attach documentation, and access a knowledge base for common solutions. IT staff should be able to manage incidents, requests, and history efficiently. The system must provide robust reporting, customizable notifications, role-based access control, audit trails, and email integration. Required functional modules include Incident Management, Configuration Management, Asset Management, Knowledge Management, Change Management, Reporting and Analytics, and Automation/AI capabilities.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.