# AI in Government Performance Management Canonical URL: ## Overview Artificial Intelligence is revolutionizing how government agencies measure, analyze, and improve organizational and employee performance. This four-hour interactive training equips government employees with knowledge and practical tools to harness AI for more effective, data-driven performance management. Using real-world government examples and hands-on activities, participants will learn how AI can enhance goal setting, monitor progress, and support fair, transparent evaluation processes. The course emphasizes actionable strategies that government teams can implement immediately to improve outcomes, streamline reporting, and align with government policy and best practices. ## What you'll learn - Describe the role of AI in modern performance management systems - Identify opportunities for leveraging AI to enhance goal setting, feedback, and evaluation processes - Apply practical tools and frameworks for using AI-driven analytics to monitor and improve performance - Assess risks, limitations, and best practices for responsible AI use in performance management - Align AI-enabled performance management approaches with government guidelines and ethical standards ## Curriculum #### What is Performance Management? - Definition and purpose in the government workforce #### AI Fundamentals for Performance Management - Types of AI relevant to performance management (analytics, automation, predictive modeling) - Key terms and concepts #### Opportunities and Use Cases - AI for goal setting and alignment - Real-time performance monitoring - Predictive analytics for workforce planning #### Fairness, Transparency, and Ethics in AI-Driven Evaluation - Avoiding bias in automated evaluations - Ensuring transparency and employee trust - Government ethical standards and requirements #### Government Policy Context - OMB, OPM, and agency-specific guidance on AI and data-driven HR practices - Privacy, accountability, and compliance considerations #### Practical Tools and Frameworks - Dashboards and visualization tools - Setting up AI-driven KPIs and metrics - Data governance and documentation #### Managing Risks and Limitations - Identifying challenges and safeguards for AI-enabled performance management #### Application to Government Work - Integrating AI practices into existing performance management processes #### Action Planning - Steps to implement or improve AI-enabled performance management ## Schedule - Jul 17, 2026 1:00pm–5:00pm — Live Online - Aug 20, 2026 1:00pm–5:00pm — Live Online - Sep 24, 2026 8:00am–12:00pm — Live Online - Oct 15, 2026 8:00am–12:00pm — Live Online - Nov 5, 2026 1:00pm–5:00pm — Live Online - Dec 3, 2026 8:00am–12:00pm — Live Online ## Instructors ### Bruce Gay — Instructor Bruce is an engaging trainers and program manager who brings 25+ years practical experience to deliver effective and experiential training to students. Able to engage adult learners with a range of backgrounds and professional experiences. Successful at building effective stakeholder relationships and coordinating multi-disciplinary teams for solution delivery. Bruce has over 25 years of project and program management experience across multiple industries. He has a Masters degree from The George Washington University and a B.A. from the University of North Carolina Chapel Hill. Bruce currently runs his own freelance training and consulting business, helping project managers and team leaders improve their business skills, become better leaders, and achieve professional greatness. Bruce is a well-received speaker in the areas of design thinking, project management, cross-team collaboration, and AI tools for projects, and has presented at regional and international conferences. ### Steve Pesklo — Instructor Steve is an energetic trainer who focuses on applying technical concepts to everyday work practices. He is the founder and president of SoftLake Solutions, a company that specializes in providing data and AI applications to identify fraud for Internal Audit, Criminal Investigations, Forensic Accounting, Privacy, and Compliance. Steve brings a large amount of experience across multiple industries and government agencies. He is an expert in implementing large data analysis projects across the world, including Inland Revenue in the UK and Argentina, New Zealand, Africa and across Europe. Previously, he was the manager of Data Architecture and Data Services for a large mortgage company. He is a frequent speaker on data analytics and project management topics and speaks fluent German. He has been teaching at the Graduate School for over 10 years. Steve has an M.B.A. from the University of St. Thomas and a B.S. in Computer Science from California Lutheran University and the Universität Salzburg in Austria. He is certified as a Certified Fraud Examiner (CFE), Project Management Professional (PMP), and a Certified ScrumMaster (CSM). ### Brian Simms — Instructor Brian Simms is a seasoned educator and training leader with extensive experience developing and delivering innovative learning programs in project management and emerging technologies. Over the course of his career, he has designed adaptive learning models that combine instructor-led sessions, live online experiences, and self-paced study, ensuring professionals can access training in flexible and effective ways. His work has emphasized the integration of artificial intelligence into professional development, helping organizations and individuals understand how AI can be applied to solve real-world challenges in leadership, project execution, and decision-making. In addition to his instructional expertise, Brian has guided curriculum development, led large training initiatives, and advanced the use of collaboration tools that improve learner engagement and retention. His depth of experience and forward-looking perspective make him uniquely equipped to prepare federal professionals to navigate both the complexities of project management and the transformative potential of AI. ## Pricing **Tuition:** $675