# Human–AI Integration in Government Workflows Canonical URL: ## Overview As artificial intelligence becomes embedded in government workflows, the challenge is no longer just adopting AI but integrating human expertise and judgment alongside intelligent systems. This four-hour interactive training prepares government professionals to design, oversee, and optimize collaborative environments where human and AI strengths are combined for better decision-making, efficiency, and mission outcomes. Participants will work through real-world scenarios and practical frameworks to evaluate when and how to keep “humans in the loop,” foster effective collaboration, and ensure accountability. The course emphasizes actionable strategies for building trustworthy hybrid systems and meeting evolving policy and operational requirements. ## What you'll learn - Explain the concepts and models for effective human-AI integration in government contexts - Evaluate opportunities and challenges for human-AI collaboration across a range of workflows - Apply frameworks for balancing automation and human oversight, including “human-in-the-loop” and “human-on-the-loop” models - Design processes and roles that leverage both AI capabilities and human judgment for optimal outcomes - Assess ethical, policy, and operational considerations when integrating AI into government teams ## Curriculum #### Module 1: Understanding AI Agents - What AI agents are and how they differ from automation, chatbots, and decision-support tools - Core characteristics of AI agents: goal-driven behavior, multi-step execution, autonomy, and context-awareness - The agentic AI landscape today: desktop agent tools, enterprise agent platforms, developer tools, and AI assistants with tool access - How agentic tools work under the hood: the AI model, planning loop, tool access, and containment boundary - Live demonstration of an agentic tool performing a multi-step government workflow task - Human oversight roles: human-in-the-loop, human-on-the-loop, and human-in-command - Common misconceptions and key risks, including prompt injection - Current federal AI policy direction and its implications for government agencies #### Module 2: Evaluating Agentic Tools for Government Work - The evaluation mindset: understanding the workflow before evaluating the tool - Identifying agent roles in a workflow: intake, analysis, recommendation, and escalation - The Agent Evaluation Blueprint: goal, trigger, inputs, actions, boundaries, and oversight - Permission models and data access: folder-level vs. organization-wide, network access, and least privilege - Prompt injection: what it is, how it works, and why agentic tools are uniquely vulnerable - Questions to ask before saying yes: a practical pre-approval checklist - Hands-on activity: evaluate a realistic agentic tool proposal for a government workflow #### Module 3: Where Agentic Tools Fit — and Where They Don't - Appropriate use cases: case triage and routing, document analysis and extraction, internal coordination, and monitoring and alerts - High-risk or inappropriate uses of agentic tools in government - Operational risks: over-automation, over-reliance, and rubber-stamping - Drift: data drift, concept drift, and objective drift — and how to detect them - Early operational warning signs that an agentic tool may be failing - Hands-on activity: red team a deployed agentic tool scenario to identify risks and recommend action #### Module 4: Governing Agentic Tools in Your Organization - Why governance is essential — and why no centralized federal AI regulator is coming - Governance vs. technical controls: policies, oversight bodies, and accountability structures - Legal, ethical, and procurement considerations: FedRAMP, ATO, vendor data handling, and records retention - Security for agentic tools: access controls, prompt injection defenses, anomaly monitoring, and incident response - Lifecycle management: design, pilot, deploy, monitor, update or retire — including regulatory sandbox alignment - Performance monitoring and metrics: accuracy, override rates, equity indicators, and user satisfaction - Workforce readiness and change management: role clarity, training on tool limitations, and avoiding fear and over-trust - Deployment readiness checklist: a practical gate review before any agentic tool goes live - Hands-on activity: conduct a readiness gate review for a proposed agentic tool deployment ## Schedule - Jul 13, 2026 8:00am–12:00pm — Live Online - Aug 17, 2026 1:00pm–5:00pm — Live Online - Sep 23, 2026 1:00pm–5:00pm — Live Online - Oct 20, 2026 8:00am–12:00pm — Live Online - Nov 10, 2026 1:00pm–5:00pm — Live Online - Dec 1, 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