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AI Strategy Webinar for Municipalities

The Kendall Project is partnering with The Massachusetts Municipal Association (MMA) to deliver a 90-minute webinar that clarifies AI and gives municipal leaders a practical foundation for using AI safely, consistently, and repeatedly in everyday work. This session is built for real-world municipal operations, where clarity, alignment, risk management, and public trust matter. No technical background is required.

Unlock AI’s Value Across Your Organization

What You’ll Learn

This session focuses on helping municipal leaders build the right foundation before AI shows up in policies, procurement, or daily workflows.

During the webinar, we’ll explore:

  • How AI actually fits into municipal work today
  • What “AI literacy” really means for public-sector teams
  • Why most AI efforts stall or create risk
  • The role of language and context in AI outcomes
  • A responsible starting point for municipalities
  • Illustrative municipal use cases (without hype)

Participants will leave with a shared mental model and practical framing they can use to guide internal conversations and next steps.

Who Should Attend

This webinar is intended for municipal professionals involved in decision-making, operations, or governance, including:

  • Town and City Managers, Administrators, and Executive Leadership
  • Department Heads and Directors across municipal functions
  • Communications, Public Information, and Constituent Services staff
  • Procurement, Legal, Compliance, and Risk Management teams
  • Staff responsible for improving internal processes or service delivery

No technical background is required.

Webinar Details

Date: February 11, 2026
Time: 12:00 PM – 1:30 PM (ET)
Format: Virtual (Zoom link provided upon registration)

About The Kendall Project

The Kendall Project helps organizations develop the clarity, shared language, and operating foundations needed to use AI safely and effectively. Rather than starting with tools, we focus on real work, real constraints, and the organizational conditions required for repeatable, responsible AI use, especially in environments where trust and accountability matter.