Where GovTech leaders learn to ship software in the age of AI

  • Learn production-hardened strategies from leaders who've shipped in the toughest environments.
  • Spend three days training with the people who decide what gets built, who builds it, and who buys it.
  • Walk away with a plan and allies to drive real change.

August 25-27 | Nashville, TN

Hands-on workshops

Pick one full-day workshop and focus on a single area of practice, turning the strategies from Days 1 and 2 into a working playbook for delivery in the age of AI. You'll leave with applied work in hand.

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Workshop Title

Description

Harnessing Security Agents

Led by: Lloyd Evans, Head of Cybersecurity, Rise8

Jeremy Arzuaga, Senior Cybersecurity Engineer, Rise8

Security can’t live in slide decks, waiver queues, or a checklist someone signs at the end. This hands-on workshop teaches Policy-as-Code as fieldcraft for government delivery teams: how to turn compliance and security requirements into automated tests that run against Kubernetes, infrastructure, and platform workflows. You’ll practice using the evidence those tests produce to harden delivery and keep builders moving.

Outcome-Based Acquisition: Mapping Contracts to Mission Outcomes

Led by: Nick Setterberg, Staff Engagement Manager, Skylight

Most acquisitions buy deliverables: features, milestones, hours. This facilitator-led workshop shows you how to trace work from mission need to user value, then use what the map reveals to structure an acquisition around measurable mission outcomes and continuous delivery—instead of a fixed list of deliverables a vendor can complete without moving the mission. You'll leave with a method you can run with your own team, the language to make the case for it, and a prioritized plan for restructuring an acquisition around the outcomes that matter.

Find Your Flow: A Value Stream Mapping Workshop for Navigating Constraints

Led by: Steve Perreira, Lead Consultant, Visible Value Stream Consulting

You can’t improve a system you can’t see. This hands-on workshop applies Flow Engineering and Value Stream Mapping to trace your work from mission need to user value, exposing the queues, handoffs, rework, decision latency, and hidden dependencies slowing it down. You’ll leave with a map of where the work stalls and a prioritized plan to clear obstacles and deliver measurable outcomes in production.

From Chaos to Coordinates: A DDD EventStorming Workshop

Led by: Paul Rayner, Author, The EventStorming Handbook

Stop guessing and start mapping. This hands-on DDD EventStorming workshop helps technical and non-technical delivery teams make sense of mission complexity through a realistic simulation. You’ll map the step-by-step workflows of a real mission area, uncovering the inconsistencies and gaps in how work actually flows. Then you’ll practice connecting commands, aggregates, and events—the raw material for event-driven and event-sourced architecture decisions. You’ll leave with the method, the muscle memory, and a map you can rebuild with your team back home.

Impact Lab for Leaders: Build Purposeful Software with AI

Led by: Matt Pacione, Platform Engineering Enablement Lead, Rise8

AI mandates and speed-first directives are moving faster than any GovTech strategy decks can keep up with. Impact Lab for Leaders is a one-day, hands-on AI build. You’ll use AI-native tools to build working software that solves a problem, start to finish, in an unclassified cloud environment. No developer background or computer science degree required. You’ll leave with a working app you built and can share, with the fluency that comes from doing it yourself.

The Living Harness: Stop AI-Assisted Code from Drifting in Production

Led by: Russ Miles, AI & Platform Engineering Training Expert

Government delivery teams are under pressure to move faster, and mission-critical codebases are drifting quietly—because every session ends with the agent forgetting your conventions, your decisions, and the production incident that reshaped your error-handling. This hands-on workshop teaches agentic engineering as fieldcraft: a trust protocol for verifying AI output before it ships, a five-question interview for surfacing the constraints the model can't see, and a version-controlled harness that makes your team's hard-won understanding durable and enforced. You'll leave with a working HARNESS.md in your own repo, garbage-collection rules wired into your pipelines, and a 30-day plan to stop the drift before it reaches production—or your next authorization review.