01
AI Platform Onboarding
Team onboarding for ChatGPT, OpenAI, Codex, Claude, Claude Code, and related AI platforms.
ChatGPTClaudeCodex
Deployment LabsAI Deployment Engineers
Deploy AI into the way your team actually works.
Deployment Labs handles AI deployment for growing teams. We onboard your people to OpenAI, Claude, and other frontier AI platforms, then turn that access into practical workflows, skills, plugins, and internal operating systems.
From AI access to AI capability
Deployment partners across
OpenAI
ChatGPT Enterprise
Claude
Claude Code
Codex
Cursor
Anthropic API
Vercel AI SDK
OpenAI
ChatGPT Enterprise
Claude
Claude Code
Codex
Cursor
Anthropic API
Vercel AI SDK
The gap
Your team has AI access. That does not mean your team has AI capability.
Most companies are stuck between experimentation and deployment. A few employees move faster. Others are unsure where to start. Leadership sees the potential, but the organization lacks shared workflows, standards, and practical deployment support.
01↗
Scattered usage
Everyone uses AI differently, with inconsistent quality and unclear standards.
02↗
Low adoption
The tools are available, but most team members do not know where AI fits into their work.
03↗
No internal system
Prompts, workflows, and lessons stay trapped in individual chats instead of becoming reusable company assets.
04↗
Technical bottlenecks
Teams want Codex, Claude Code, plugins, automations, or custom skills, but need help implementing them safely.
Services
We design, build, and deploy AI workflows for your team.
We audit existing workflows, identify high-leverage use cases, train your team, and build the internal systems that make AI useful across the organization.
02
Workflow Mapping
Identify where AI can create leverage across operations, marketing, sales, support, engineering, and leadership.
AuditMapPrioritize
03
Skills & Plugins
Reusable skills, custom instructions, plugin-like workflows, internal GPTs, Claude projects, and AI-assisted tools.
SkillsGPTsProjects
04
Team Training
Live and async enablement for employees, managers, and technical teams. Role-specific examples and hands-on labs.
LiveAsyncLabs
05
AI Operating System
Documentation, governance, prompt libraries, SOPs, evaluation standards, and usage guidelines for the whole company.
GovernanceSOPsEvals
06
Deployment Engineering
Hands-on implementation of AI workflows, automations, API integrations, and internal tooling.
APIsToolingAutomations
See how an AI implementation runs, or read our guide to AI deployment.
From the field
We did this to our own business first.
We bring over 8 years of AI experience, implementing it inside our own company and building out AI automations for other businesses. Before Deployment Labs, we deployed AI across a business we run day to day: front desk, documentation, follow-up, reporting. What worked became the playbook we bring to your team. What didn't is why we insist on owners, artifacts, and review.
8+
Years of hands-on AI experience
Lesson 1
Adoption is a system, not a training day
The tools that stuck were the ones with an owner, a place to live, and a review step. The rest went back to being someone's chat history.
Lesson 2
The first workflow matters more than the platform
One repetitive, high-volume task done well in the first week did more for buy-in than any platform comparison.
Lesson 3
Governance came from the work, not the policy
People followed rules that were written next to the workflow they were using, and ignored the ones in a document nobody opened.
Process
A deployment process built for adoption.
Each step produces a concrete artifact your team can use, maintain, and extend. By the end, AI is not a tool a few people use — it is how the team works.
- Step 01↗
Audit
We map your team, workflows, tools, risks, and AI-readiness.
- Step 02↗
Design
We identify high-leverage use cases and design practical deployment paths.
- Step 03↗
Build
We create workflows, skills, plugins, docs, and internal systems.
- Step 04↗
Train
We onboard your team with role-specific examples and hands-on implementation.
- Step 05↗
Deploy
We embed AI into daily work, measure adoption, and refine the system.
- Step 06↗
Scale
We help your internal champions improve, extend, and maintain the AI operating system.
Use Cases
Deploy AI across the work that already exists.
Every team has work that AI can support. We help you find it, build for it, and roll it out without disrupting how things actually get done.
Codex onboarding
Claude Code adoption
Code review assistance
Documentation generation
Internal dev workflows
AI-assisted debugging
Repo-specific coding agents
Test generation
Don't see your workflow? We map it on the first call.
Deliverables
You leave with systems, not just suggestions.
Every engagement produces durable artifacts your team can use, edit, and extend long after we're done.
01AI adoption roadmap
02Team workflow map
03Platform onboarding plan
04Role-specific training
05Prompt libraries
06Custom GPTs / Claude Projects
07Codex & Claude Code workflows
08AI usage policy
09Internal AI playbook
10Skills & plugin specs
11Automation diagrams
12Evaluation checklists
13Documentation templates
14Implementation backlog
15Adoption metrics dashboard
Engagement Models
Flexible support for every stage of AI adoption.
Start with a hands-on workshop, map your next steps in a consultation, train your whole team on-site, or keep us on retainer as you scale.
Dates coming soon
1 day
Workshops
One-day events for anyone interested in learning to build with AI. Bring your laptop and build along, with hands-on help from our instructors.
Anyone curious about AI
Bring your laptop
Build along live
Hands-on instructor help
90-minute Zoom call
Consultation
We learn your business operations, bottlenecks, and current state of AI usage. Then we deliver a blueprint for leadership and staff: policy, skills, prompts, and training, all made for you.
Operations review
Bottleneck mapping
AI usage assessment
Custom implementation blueprint
2 days · on-site
2-Day On-Site Training
We come to you. Day one, we audit every employee to understand the stack they use and the bottlenecks they face. Day two, we host a training event for everyone and help your staff implement AI automations.
Day 1: audit with every employee
Tool stack & bottleneck mapping
Day 2: company-wide training
Hands-on automation builds
Most popular
Monthly
Monthly Retainer
Ongoing monthly support for teams deploying AI across multiple departments.
Growing companies
Agencies
Multi-team orgs
Continuous workflow dev
Ready when you are
Ready to move from AI experiments to deployed workflows?
Talk with a Deployment Labs engineer about your team, tools, and highest-leverage opportunities. No slide decks. No theory. Just deployment.
Not ready to book? Score your AI readiness in ten minutes. No email needed to see the result.