AI Agent Workshops & Training
Hands-on, half-day workshops that move your team from curious to capable — with real agents built on your actual workflows before the session ends.
More than training. Real output.
Every workshop is scoped to your team's actual work. You leave with production-ready agents, not slide decks.
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Foundation & framing
45 minutes of structured context on how Claude’s toolbox works — Chat, Connectors, Projects, Artifacts, Skills, Cowork, and Managed Agents — so the team shares a mental model before building.
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Brainstorm & cluster
A structured discovery sprint where your team maps the highest-friction tasks in their week, then clusters them into agent opportunity zones — guided by LPL facilitators.
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Agents built in-session
Working in small pods, your team builds and tests real agents during the workshop. Typically 3 complete agents per session — Meeting Prep, Request Triage, Candidate Comparison, or whatever fits your week.
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Skills library scaffold
Custom SKILL.md files your team can reuse to teach Claude your processes once and apply them forever — contract review, report formatting, inbox triage, and more.
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Role-specific playbooks
Each attendee leaves with a personal AI playbook tailored to their function — whether Finance, Ops, People, or Engineering — including prompt starters and workflow shortcuts.
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Roadmap & next steps
A prioritized agent backlog from the discovery sprint, plus a clear graduation path — from Claude-native tools to custom-built products when the opportunity earns it.
45 minutes to align. Two hours building.
A structured half-day that moves from foundation to working agents — with room for real questions and real output.
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The Claude toolbox
Frame & foundations
We orient your team on all eight Claude surfaces — Chat, Connectors, Projects, Artifacts, Skills, Cowork, Managed Agents, and Claude Design — so everyone shares a common mental model before we build.
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Map your highest-friction work
Brainstorm & cluster
Guided discovery sprint where your team surfaces the tasks they repeat most, the handoffs that break, and the context that gets lost. We cluster these into agent opportunity zones.
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Hands-on agent construction
Build hour
Three pods, two agents each. LPL facilitators float between groups to help debug, scope, and ship. Your team does the building — we keep them unblocked.
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Ship, show, plan forward
Share-back & next steps
Each pod presents their agents. We review the full backlog, prioritize what’s next, and map the graduation path from Claude-native to custom-built for any opportunities that have outgrown the platform.
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½ day
workshop to unlock AI potential
and the lowest-cost entry point into AI transformation.
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10+
hours/week time Claude Team users report saving
per person, every workday, compounding across your entire team.
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50+
connectors in the Claude directory
Gmail, Slack, Notion, Google Drive, Calendar, and more — live in minutes, no engineering required.
Eight surfaces. One platform.
Your team walks away fluent in all of them — knowing exactly when to reach for each one.
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Chat
The starting point for any task
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Connectors
Gmail, Drive, Slack, Notion + 50 more
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Projects
Context that travels with the work
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Artifacts
Docs, slides, apps, and dashboards
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Skills
Teach once, apply forever
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Cowork
Claude works on your files directly
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Claude Code
Terminal-native for engineering
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Managed Agents
Hosted, long-running workflows
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Claude Design
Visual work through conversation
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Claude in Chrome
Browser-native agent automation
Built for the teams doing the work
Not a general AI literacy course. Workshops are scoped to a specific team's actual week.
Ops & Finance teams
Replace repetitive coordination, reporting, and triage with agents that know your workflows and connect to your stack.
- Inbox and request triage automation
- Weekly briefings and status summaries
- Contract review and compliance flagging
- Meeting prep pulled from calendar and email
HR & Recruiting teams
Build agents that handle the administrative load so your team can focus on the human parts that actually need a human.
- Candidate comparison and scoring agents
- Offer letter drafting and redline review
- Onboarding workflow automation
- Policy Q&A agents for employee self-service
Engineering & Product teams
Learn when Claude Code, Managed Agents, and MCP connectors are the right tool — and when to build something custom instead.
- Codebase review and git workflow agents
- Custom MCP connector development
- Managed Agent architecture for reliability
- Claude Code for terminal-native automation
Frequently Asked Questions
What is an AI agent workshop?
An AI agent workshop is a structured, hands-on session where a business team learns to build and deploy AI-powered agents on their own workflows. LaunchPad Lab’s workshops are half-day sessions using Claude — covering the full toolbox (Chat, Connectors, Projects, Artifacts, Skills, Cowork, Managed Agents), a discovery sprint to identify the highest-value use cases, and a build hour where real agents are created and tested before the session ends. Unlike general AI training, teams leave with working output — not slide decks.
How long does an AI enablement workshop take?
The core AI Enablement Sprint takes half a day — approximately 3.5 hours. The workshop moves through four structured segments: Frame & foundations, Brainstorm & cluster, Build hour, and Share-back & next steps. Full-day cross-functional workshops covering two teams are also available, as are multi-week enterprise programs for org-wide rollout.
What AI agents does a team typically build in the workshop?
Teams typically complete 3 production-ready agents in a single session. Common examples include a Meeting Prep Agent (pulls context from Gmail and Calendar), a Request Triage Agent (routes incoming asks to the right queue), and a Candidate Comparison Agent (stacks CVs against a rubric). The specific agents are always determined during the discovery sprint — scoped to that team’s actual week, not generic demos.
What tools and integrations are covered?
The workshop covers the full Claude toolbox — Chat, Connectors (Gmail, Google Calendar, Google Drive, Slack, Notion, and 50+ more via MCP), Projects, Artifacts, Skills, Cowork, Claude Code, Managed Agents, Claude Design, and Claude in Chrome. The session also covers the Model Context Protocol (MCP) open standard, which is what allows Claude to talk to your existing stack — and how engineers can build custom connectors when an existing one doesn’t exist.
Who are AI agent workshops designed for?
LaunchPad Lab’s workshops are designed for specific business functions — not general audiences. The most common teams are Operations and Finance (triage, reporting, meeting prep), HR and Recruiting (candidate comparison, onboarding, policy Q&A), and Engineering and Product (Claude Code, Managed Agents, MCP connector development). Workshops are not appropriate as all-hands AI literacy sessions — they work best with a focused team of 6–15 people who share workflows.
What's the difference between this and standard AI training?
Standard AI training is informational — teams leave knowing what AI can do. LaunchPad Lab’s workshops are output-oriented — teams leave with working agents deployed on their actual workflows. The key differences are the structured discovery sprint (which maps specific high-friction tasks to agent opportunities), the hands-on build hour with real facilitation, and the custom Skills library and role-specific playbooks each attendee receives to keep building after the session.
Is there a path to custom AI products after the workshop?
Yes — every workshop ends with a prioritized agent backlog and a clear graduation path. Agents that outgrow the Claude platform — because they need enterprise-grade reliability, multi-agent coordination, or IT governance — can graduate to LaunchPad Lab’s AI Agent Development services, where LPL builds the custom product. The workshop is explicitly designed as the first step in that continuum, not a standalone event.
Where is LaunchPad Lab based and do they run remote workshops?
LaunchPad Lab is headquartered in Chicago, IL, and runs AI agent workshops for teams across the United States. Workshops can be facilitated on-site at your location or delivered remotely via video conference — the format depends on team size, preference, and scope.
Ready to build with your team?
Tell us which team, what they do, and when you want to run it. We'll scope the right format and get it on the calendar.